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Shigeyuki Hamori

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Shigeyuki Hamori & Minami Kawai & Takahiro Kume & Yuji Murakami & Chikara Watanabe, 2018. "Ensemble Learning or Deep Learning? Application to Default Risk Analysis," Discussion Papers 1802, Graduate School of Economics, Kobe University.

    Cited by:

    1. Yuchen Zhang & Shigeyuki Hamori, 2020. "The Predictability of the Exchange Rate When Combining Machine Learning and Fundamental Models," JRFM, MDPI, vol. 13(3), pages 1-16, March.
    2. Marc Andreas Schmitt, 2022. "Deep Learning in Business Analytics: A Clash of Expectations and Reality," Papers 2205.09337, arXiv.org.
    3. Marc Schmitt, 2022. "Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring," Papers 2205.10535, arXiv.org.
    4. Ryno du Plooy & Pierre J. Venter, 2021. "A Comparison of Artificial Neural Networks and Bootstrap Aggregating Ensembles in a Modern Financial Derivative Pricing Framework," JRFM, MDPI, vol. 14(6), pages 1-18, June.
    5. Cheng-Chien Lai & Wei-Hsin Huang & Betty Chia-Chen Chang & Lee-Ching Hwang, 2021. "Development of Machine Learning Models for Prediction of Smoking Cessation Outcome," IJERPH, MDPI, vol. 18(5), pages 1-10, March.
    6. Gunnarsson, Björn Rafn & vanden Broucke, Seppe & Baesens, Bart & Óskarsdóttir, María & Lemahieu, Wilfried, 2021. "Deep learning for credit scoring: Do or don’t?," European Journal of Operational Research, Elsevier, vol. 295(1), pages 292-305.
    7. Martin Leo & Suneel Sharma & K. Maddulety, 2019. "Machine Learning in Banking Risk Management: A Literature Review," Risks, MDPI, vol. 7(1), pages 1-22, March.
    8. Dimitrios Nikolaidis & Michalis Doumpos, 2022. "Credit Scoring with Drift Adaptation Using Local Regions of Competence," SN Operations Research Forum, Springer, vol. 3(4), pages 1-28, December.
    9. Shigeyuki Hamori & Takahiro Kume, 2018. "Artificial Intelligence And Economic Growth," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 256-278, December.
    10. Selçuk BAYRACI & Orkun SUSUZ, 2019. "A Deep Neural Network (DNN) based classification model in application to loan default prediction," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 75-84, Winter.
    11. Jung-sik Hong & Hyeongyu Yeo & Nam-Wook Cho & Taeuk Ahn, 2018. "Identification of Core Suppliers Based on E-Invoice Data Using Supervised Machine Learning," JRFM, MDPI, vol. 11(4), pages 1-13, October.
    12. Nikolaos Sariannidis & Stelios Papadakis & Alexandros Garefalakis & Christos Lemonakis & Tsioptsia Kyriaki-Argyro, 2020. "Default avoidance on credit card portfolios using accounting, demographical and exploratory factors: decision making based on machine learning (ML) techniques," Annals of Operations Research, Springer, vol. 294(1), pages 715-739, November.
    13. Thackway, William & Ng, Matthew Kok Ming & Lee, Chyi Lin & Pettit, Christopher, 2021. "Building a predictive machine learning model of gentrification in Sydney," SocArXiv hkc96, Center for Open Science.
    14. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.

  2. Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2017. "Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model," Discussion Papers 1720, Graduate School of Economics, Kobe University.

    Cited by:

    1. Hitoshi Hamori & Shigeyuki Hamori, 2020. "Does Ensemble Learning Always Lead to Better Forecasts?," Applied Economics and Finance, Redfame publishing, vol. 7(2), pages 51-56, March.
    2. Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    3. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    4. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    5. Lei Xu & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Predicting Currency Crises: A Novel Approach Combining Random Forests and Wavelet Transform," JRFM, MDPI, vol. 11(4), pages 1-11, December.
    6. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.
    7. Tai-Hock Kuek & Chin-Hong Puah & M. Affendy Arip, 2020. "Financial Vulnerability and Economic Dynamics in Malaysia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 55-73.

  3. Katsuyuki Tanaka & Takuo Higashide & Takuji Kinkyo & Shigeyuki Hamori, 2017. "Forecasting the Vulnerability of Industrial Economic Activities: Predicting the Bankruptcy of Companies," Discussion Papers 1721, Graduate School of Economics, Kobe University.

    Cited by:

    1. Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    2. Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.

  4. Takashi Miyazaki & Shigeyuki Hamori, 2016. "The determinants of a simultaneous crash in gold and stock markets: An ordered logit approach," Discussion Papers 1603, Graduate School of Economics, Kobe University.

    Cited by:

    1. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.

  5. Wang Chen & Shigeyuki Hamori & Takuji Kinkyo, 2015. "Financial Development and Financial Openness Nexus: The Precondition of Banking Competition," Discussion Papers 1512, Graduate School of Economics, Kobe University.

    Cited by:

    1. Zhu, Chaowei & Zhang, Fan & Zhang, Yuling, 2023. "Revisiting financial opening and financial development: A regulation heterogeneity perspective," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 181-197.
    2. Edgar A. Ghossoub & Andre Harrison & Robert R. Reed, 2024. "Banking concentration, financial openness, and financial development," Contemporary Economic Policy, Western Economic Association International, vol. 42(1), pages 120-159, January.
    3. Zhou, Chao, 2023. "Home country environment and the downside risk implications of multinationality: Empirical evidence from Chinese SMEs," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    4. Emna Trabelsi, 2019. "Do independence and transparency matter for bank development? A new lookup on emerging and developing countries," Post-Print hal-02162780, HAL.
    5. Al-Moulani, Ali & Alexiou, Constantinos, 2018. "Simulating Banking Sector Development in the GCC States," MPRA Paper 98650, University Library of Munich, Germany.
    6. Nam, Hyun-Jung & Bang, Jeongseok & Ryu, Doojin, 2024. "Nonlinear effects of financial openness on financial development in ASEAN," Journal of Multinational Financial Management, Elsevier, vol. 73(C).

  6. Nannan Yuan & Shigeyuki Hamori & Wang Chen, 2014. "House Prices and Stock Prices: Evidence from a Dynamic Heterogeneous Panel in China," Discussion Papers 1428, Graduate School of Economics, Kobe University.

    Cited by:

    1. Korhan Gokmenoglu & Siamand Hesami, 2019. "Real estate prices and stock market in Germany: analysis based on hedonic price index," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 687-707, April.
    2. Yongheng Deng & Eric Girardin & Roselyne Joyeux & Shuping Shi, 2017. "Did bubbles migrate from the stock to the housing market in China between 2005 and 2010?," Pacific Economic Review, Wiley Blackwell, vol. 22(3), pages 276-292, August.
    3. Yongheng Deng & Eric Girardin & Roselyne Joyeux, 2018. "Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy," Post-Print hal-01996210, HAL.
    4. Yongheng Deng & Eric Girardin & Roselyne Joyeux, 2015. "Fundamentals and the Volatility of Real Estate Prices in China: A Sequential Modelling Strategy," Working Papers 222015, Hong Kong Institute for Monetary Research.

  7. Inoue, Takeshi & Hamori, Shigeyuki, 2013. "Financial Permeation and Economic Growth: Evidence from Sub-Saharan Africa," MPRA Paper 53417, University Library of Munich, Germany.

    Cited by:

    1. Kazeem B. Ajide & Ibrahim D. Raheem & Olorunfemi Y. Alimi & Simplice A. Asongu, 2020. "The Role of Institutional Infrastructures in Financial Inclusion-Growth Relations: Evidence from SSA," Working Papers 20/043, European Xtramile Centre of African Studies (EXCAS).
    2. EZZAHID, Elhadj & ELOUAOURTI, Zakaria, 2017. "Financial development and total factors productivity channel: Evidence from Africa," MPRA Paper 81764, University Library of Munich, Germany.

  8. Inoue, Takeshi & Toyoshima, Yuki & Hamori, Shigeyuki, 2012. "Inflation targeting in Korea, Indonesia, Thailand, and the Philippines : the impact on business cycle synchronization between each country and the world," IDE Discussion Papers 328, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Faisal Rachman, 2016. "Is Inflation Target Announced by Bank Indonesia the Most Accurate Inflation Forecast?," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 62, pages 98-120, August.
    2. Ulrich Volz, 2015. "On the Future of Inflation Targeting in East Asia," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 638-652, August.
    3. ALIASUDDIN & Sofyan SYAHNUR & MALIA, 2020. "Inflation And Unemployment In Southeast Asian Countries: A Panel Gmm Application On Phillips Curve," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 145-152, June.
    4. Morgan, Peter J., 2013. "Monetary Policy Frameworks in Asia: Experience, Lessons, and Issues," ADBI Working Papers 435, Asian Development Bank Institute.
    5. Alice Y. Ouyang & Ramkishen S. Rajan, 2016. "Does Inflation Targeting in Asia Reduce Exchange Rate Volatility?," International Economic Journal, Taylor & Francis Journals, vol. 30(2), pages 294-311, June.
    6. Valera, Harold Glenn A. & Holmes, Mark J. & Hassan, Gazi M., 2017. "How credible is inflation targeting in Asia? A quantile unit root perspective," Economic Modelling, Elsevier, vol. 60(C), pages 194-210.
    7. Yee Peng Chow & Junaina Muhammad & Bany Ariffin Amin Noordin & Fan Fah Cheng, 2017. "Macroeconomic Uncertainty in South East Asia: A Comparative Study between Malaysia and Indonesia," Research in Applied Economics, Macrothink Institute, vol. 9(4), pages 1-24, December.
    8. Carlos Delgado & Iván Araya & Gabriel Pino, 2020. "Business cycle synchronization: is it affected by inflation targeting credibility?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(2), pages 157-177, June.

  9. Inoue, Takeshi & Hamori, Shigeyuki, 2012. "Market efficiency of commodity futures in India," IDE Discussion Papers 370, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Wei Zhang & Sayed Saghaian & Michael Reed, 2022. "Influences of Power Structure Evolution on Coffee Commodity Markets: Insights from Price Discovery and Volatility Spillovers," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
    2. Narinder Pal Singh & Archana Singh, 2017. "Empirical Investigation on Food Inflation and Efficiency Issues in Indian Agri-futures Market," Emerging Economy Studies, International Management Institute, vol. 3(2), pages 156-165, November.
    3. Sarveshwar Kumar Inani, 2018. "Price Discovery and Efficiency of Indian Agricultural Commodity Futures Market: An Empirical Investigation," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 129-154, March.
    4. Chhabra, Damini & Gupta, Mohit, 2022. "Calendar anomalies in commodity markets for natural resources: Evidence from India," Resources Policy, Elsevier, vol. 79(C).
    5. Go, You-How & Lau, Wee-Yeap, 2017. "Investor demand, market efficiency and spot-futures relation: Further evidence from crude palm oil," Resources Policy, Elsevier, vol. 53(C), pages 135-146.
    6. Getu Hailu & Alex Maynard & Alfons Weersink, 2015. "Empirical analysis of corn and soybean basis in Canada," Applied Economics, Taylor & Francis Journals, vol. 47(51), pages 5491-5509, November.
    7. Rahul Kumar Singh, 2023. "Efficiency of Wheat Futures across APMC Mandis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 681-701, September.
    8. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    9. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    10. Lya Paola Sierra & Luis Eduardo Gir n & Carolina Osorio, 2017. "Has Financialization in Commodity Markets Affected the Predictability in Metal Markets? The Efficient Markets Hypotheses for Metal Returns," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 15-22.

  10. Inoue, Takeshi & Hamori, Shigeyuki, 2011. "Financial permeation as a role of microfinance : has microfinance actually been helpful to the poor?," IDE Discussion Papers 299, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Inoue, Takeshi & Hamori, Shigeyuki, 2013. "Financial Permeation and Economic Growth: Evidence from Sub-Saharan Africa," MPRA Paper 53417, University Library of Munich, Germany.

  11. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "The sustainability of trade balances in Sub-Saharan Africa: panel cointegration tests with cross-section dependence," MPRA Paper 24054, University Library of Munich, Germany.

    Cited by:

    1. Santosh Kumar Dash, 2017. "Analyzing Current Account Sustainability through the Saving-Investment Correlation," Economics Bulletin, AccessEcon, vol. 37(4), pages 2860-2870.
    2. Olufemi G. Onatunji, 2023. "Sustainability of current account deficits in Nigeria: evidence from the asymmetric NARDL approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
    3. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroscedasticity," MPRA Paper 24053, University Library of Munich, Germany.
    4. Issiaka Coulibaly & Blaise Gnimassoun, 2013. "Current account sustainability in Sub-Saharan Africa: Does the exchange rate regime matter?," Working Papers hal-04141160, HAL.
    5. Gnimassoun, Blaise & Coulibaly, Issiaka, 2014. "Current account sustainability in Sub-Saharan Africa: Does the exchange rate regime matter?," Economic Modelling, Elsevier, vol. 40(C), pages 208-226.

  12. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroscedasticity," MPRA Paper 24053, University Library of Munich, Germany.

    Cited by:

    1. Hafsa Batool & Urooj Maqbool & Saba Gulzar, 2024. "Equal Educational Opportunities: A Catalyst for Sustainable Economic Development," Journal of Economic Impact, Science Impact Publishers, vol. 6(1), pages 53-61.
    2. Beatrice D. Simo-Kengne & Manoel Bittencourt & Rangan Gupta, 2011. "House Prices and Economic Growth in South Africa: Evidence from Provincial-Level Data," Working Papers 201116, University of Pretoria, Department of Economics.
    3. KAFANDO, Namalguebzanga, 2014. "L'industrialisation de l'Afrique: l'importance des facteurs structurels et du régime de change [The industrialization of Africa: the importance of structural factors and exchange rate regime]," MPRA Paper 68736, University Library of Munich, Germany.
    4. Orhan Cengiz, 2021. "The Political Economics of Trade Openness and Its Impacts on Corruption," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(71-2), pages 499-525, December.

  13. Inoue, Takeshi & Hamori, Shigeyuki, 2010. "How has financial deepening affected poverty reduction in India? : empirical analysis using state-level panel data," IDE Discussion Papers 249, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Alessandra Cepparulo & Juan C. Cuestas & Maurizio Intarglia, 2015. "Financial development, institutions and poverty alleviation: an empirical analysis," NCID Working Papers 01/2015, Navarra Center for International Development, University of Navarra.
    2. Fisayo Fagbemi & Babafemi Oladejo & Opeoluwa A. Adeosun, 2020. "The Effectiveness of Poverty Alleviation Policy: Why is the Quality of Institutions the Bane in Nigeria?," Working Papers 20/099, European Xtramile Centre of African Studies (EXCAS).
    3. Uddin, Gazi Salah & Shahbaz, Muhammad & Arouri, Mohamed & Teulon, Frédéric, 2014. "Financial development and poverty reduction nexus: A cointegration and causality analysis in Bangladesh," Economic Modelling, Elsevier, vol. 36(C), pages 405-412.
    4. Madhu Sehrawat & A. K. Giri, 2018. "The impact of financial development, economic growth, income inequality on poverty: evidence from India," Empirical Economics, Springer, vol. 55(4), pages 1585-1602, December.
    5. Sin-Yu Ho & Bernard Njindan Iyke, 2018. "Finance-growth-poverty nexus: a re-assessment of the trickle-down hypothesis in China," Economic Change and Restructuring, Springer, vol. 51(3), pages 221-247, August.
    6. Ho, Sin-Yu & Njindan Iyke, Bernard, 2017. "Does Financial Development Lead to Poverty Reduction in China? Time Series Evidence," MPRA Paper 78922, University Library of Munich, Germany.
    7. Shahbaz, Muhammad & Ur Rehman, Ijaz, 2013. "Multivariate–Based Granger Causality between Financial Deepening and Poverty: The Case of Pakistan," MPRA Paper 50834, University Library of Munich, Germany, revised 20 Oct 2013.
    8. Aïssata COULIBALY & Urbain Thierry YOGO, 2016. "Access to Financial Services and Working Poverty in Developing Countries," Working Papers 201620, CERDI.
    9. Clement Olalekan Olaniyi & James Temitope Dada & Nicholas Mbaya Odhiambo & Xuan Vinh Vo, 2023. "Modelling asymmetric structure in the finance-poverty nexus: empirical insights from an emerging market economy," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 453-487, February.
    10. Yaya Keho, 2016. "Revisiting the Financial Development and Poverty Reduction Nexus for Sub-Saharan African Countries: Evidence from Causality Tests in the Time and Frequency Domains," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1906-1910.
    11. Fisayo Fagbemi & Babafemi Oladejo & Opeoluwa A. Adeosun, 2020. "The Effectiveness of Poverty Alleviation Policy: Why is the Quality of Institutions the Bane in Nigeria?," Working Papers of the African Governance and Development Institute. 20/099, African Governance and Development Institute..
    12. Samouel Beji, 2019. "Financial Openness and Income Inequality: Do Institutions matter for Africa?," Economics Bulletin, AccessEcon, vol. 39(1), pages 104-114.
    13. Shruti Malik & Girish Chandra Maheshwari & Archana Singh, 2019. "Understanding Financial Inclusion in India: A Theoretical Framework Building Through SAP–LAP and Efficient IRP," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(2), pages 117-140, June.
    14. Taofeek Olusola Ayinde & Olumuyiwa Ganiyu Yinusa, 2016. "Financial Development and Inclusive Growth in Nigeria: A Threshold Analysis," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(4), pages 326-346, October.
    15. Madhu Sehrawat & A. Giri, 2016. "Financial development, poverty and rural-urban income inequality: evidence from South Asian countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 577-590, March.
    16. Fisayo Fagbemi & Babafemi Oladejo & Opeoluwa A. Adeosun, 2020. "The Effectiveness of Poverty Alleviation Policy: Why is the Quality of Institutions the Bane in Nigeria?," Research Africa Network Working Papers 20/099, Research Africa Network (RAN).
    17. Inoue, Takeshi, 2018. "Financial development, remittances, and poverty reduction: Empirical evidence from a macroeconomic viewpoint," Journal of Economics and Business, Elsevier, vol. 96(C), pages 59-68.
    18. Inoue, Takeshi & Hamori, Shigeyuki, 2011. "Financial permeation as a role of microfinance : has microfinance actually been helpful to the poor?," IDE Discussion Papers 299, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    19. Yaya Keho, 2017. "Financial Development and Poverty Reduction: Evidence from Selected African Countries," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 8(4), pages 90-98, October.
    20. Fisayo Fagbemi & Babafemi Oladejo & Opeoluwa Adeniyi Adeosun, 2020. "The Effectiveness of Poverty Alleviation Policy: Why Is the Quality of Institutions the Bane in Nigeria?," Review of Development and Change, , vol. 25(2), pages 215-236, December.
    21. James Temitope Dada & Taiwo Akinlo, 2021. "Foreign direct investment and poverty reduction in sub-Saharan Africa: does environmental degradation matter?," Future Business Journal, Springer, vol. 7(1), pages 1-10, December.
    22. Orazaliyev Kanat & Zhijun Yan & Muhammad Mansoor Asghar & Syed Anees Haider Zaidi & Abdul Sami, 2024. "Gender Inequality and Poverty: The Role of Financial Development in Mitigating Poverty in Pakistan," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11848-11876, September.
    23. Martinson Ankrah Twumasi & Yuansheng Jiang & Zhao Ding & Pengcheng Wang & Wonder Abgenyo, 2022. "The Mediating Role of Access to Financial Services in the Effect of Financial Literacy on Household Income: The Case of Rural Ghana," SAGE Open, , vol. 12(1), pages 21582440221, February.
    24. Singh,Raju & Huang,Yifei, 2016. "Financial channels, property rights, and poverty : a Sub-Saharan African perspective," Policy Research Working Paper Series 7559, The World Bank.
    25. Ho, Sin-Yu & Njindan Iyke, Bernard, 2018. "Financial Development, Growth and Poverty Reduction: Evidence from Ghana," MPRA Paper 87121, University Library of Munich, Germany.
    26. Raju Jan Singh & Yifei Huang, 2016. "Financial Channels, Property Rights and Poverty: A Sub-Saharan African Perspective This work was initiated when Raju Jan Singh was a Senior Economist and Yifei Huang a summer intern at the African Dep," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 45(3), pages 327-351, November.

  14. Kanao, Koji & Hamori, Shigeyuki, 2010. "The size of the underground economy in Japan," MPRA Paper 21562, University Library of Munich, Germany.

    Cited by:

    1. Misbah Kiani & Adeel Ahmed & Khalid Zaman, 2015. "Combining qualitative and quantitative approaches for measuring underground economy of Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 295-317, January.

  15. Hisako, KAI & Shigeyuki, HAMORI, 2009. "Microfinance and Inequality," MPRA Paper 17537, University Library of Munich, Germany.

    Cited by:

    1. Samreen FAROOQ & Prof. S.M. Jawed AKHTAR, 2024. "Microfinance and poverty reduction: an empirical evidence from SAARC nations," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(638), S), pages 179-186, Spring.
    2. Katsushi S. Imai & Ganesh Thapa & Samuel Kobina Annim, 2010. "Microfinance and Poverty -A Macro Perspective," Discussion Paper Series DP2010-30, Research Institute for Economics & Business Administration, Kobe University.
    3. Mushtaq, Rizwan & Bruneau, Catherine, 2019. "Microfinance, financial inclusion and ICT: Implications for poverty and inequality," Technology in Society, Elsevier, vol. 59(C).
    4. Mario La Torre & Helen Chiappini (ed.), 2020. "Contemporary Issues in Sustainable Finance," Palgrave Studies in Impact Finance, Palgrave Macmillan, number 978-3-030-40248-8, June.
    5. Kamel Bel hadj Miled & Jalel-Eddine Ben Rejeb, 2018. "Can Microfinance Help to Reduce Poverty? A Review of Evidence for Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 613-635, June.
    6. Sultan, Yousuf & Masih, Mansur, 2016. "Does microfinance affect economic growth? Evidence from Bangladesh based on ARDL approach," MPRA Paper 72123, University Library of Munich, Germany.
    7. Kamel Bel Hadj Miled & Moheddine Younsi & Monia Landolsi, 2022. "Does microfinance program innovation reduce income inequality? Cross-country and panel data analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-15, December.
    8. Heiko Fritz & Guenter Lang, 2012. "Microcredit, Human Capital, and Personal Income Distribution: Empirical Evidence from Greater Cairo," Working Papers 30, The German University in Cairo, Faculty of Management Technology.
    9. Inoue, Takeshi & Hamori, Shigeyuki, 2011. "Financial permeation as a role of microfinance : has microfinance actually been helpful to the poor?," IDE Discussion Papers 299, Institute of Developing Economies, Japan External Trade Organization(JETRO).

  16. Chen, Guifu & Hamori, Shigeyuki, 2009. "Energy prices and China’s international competitiveness," MPRA Paper 18827, University Library of Munich, Germany.

    Cited by:

    1. Moreno, Blanca & García-Álvarez, María Teresa & Ramos, Carmen & Fernández-Vázquez, Esteban, 2014. "A General Maximum Entropy Econometric approach to model industrial electricity prices in Spain: A challenge for the competitiveness," Applied Energy, Elsevier, vol. 135(C), pages 815-824.
    2. Dasgupta, Sukti. & Bhula-or, Ruttiya. & Fakthong, Tiraphap., 2015. "Earnings differentials between formal and informal employment in Thailand," ILO Working Papers 994896403402676, International Labour Organization.
    3. Peter Bal z & Luk Harv nek, 2016. "Competitiveness of the Chinese Economy and its Link to the Global Energy Prices Development," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 305-317.

  17. Yoichi, Matsubayashi & Shigeyuki, Hamori, 2009. "Empirical Analysis of Import Demand Behavior of Least Developed Countries," MPRA Paper 17266, University Library of Munich, Germany.

    Cited by:

    1. Shigeyuki, Hamori & Yoichi, Matsubayashi, 2009. "Empirical Analysis of Export Demand Behavior of LDCs: Panel Cointegration Approach," MPRA Paper 17316, University Library of Munich, Germany.
    2. Ercan Yasar & Güray Akalin & Sinan Erdogan & Samuel Asumadu Sarkodie, 2022. "Trading Kuznets curve: empirical analysis for China," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 741-768, August.
    3. AYODOTUN, Ayorinde & FARAYIBI, Adesoji, 2016. "An Empirical Analysis of the Structure of Imports in Sub-Sahara Africa," MPRA Paper 73278, University Library of Munich, Germany.
    4. AYODOTUN, Ayorinde & FARAYIBI, Adesoji, 2016. "Modelling the Determinants of Import Demand in Sub-Sahara Africa," MPRA Paper 73225, University Library of Munich, Germany.

  18. Yoshihiro, Hashiguchi & Shigeyuki, Hamori, 2009. "Saving-Investment Relationship and Capital Mobility:Evidence from Chinese Provincial Data, 1980—2007," MPRA Paper 17357, University Library of Munich, Germany.

    Cited by:

    1. Jesus Felipe & Scott Fullwiler & Al-Habbyel Yusoph, 2022. "Why the Feldstein-Horioka "Puzzle" Remains Unsolved," Economics Working Paper Archive wp_1006, Levy Economics Institute.
    2. Wang, Shoukun, 2016. "China's interregional capital mobility: A spatial econometric estimation," China Economic Review, Elsevier, vol. 41(C), pages 114-128.

  19. Hisako KAI & Shigeyuki HAMORI, 2009. "Globalization, Financial Depth, and Inequality in Sub-Saharan Africa," Discussion Papers 0912, Graduate School of Economics, Kobe University.

    Cited by:

    1. Simplice A., Asongu, 2011. "Finance and inequality: exploring pro-poor investment channels in Africa," MPRA Paper 34994, University Library of Munich, Germany.
    2. Meniago, Christelle & Asongu, Simplice A., 2018. "Revisiting the finance-inequality nexus in a panel of African countries," Research in International Business and Finance, Elsevier, vol. 46(C), pages 399-419.
    3. Simplice Asongu & Uchenna EFOBI & Ibukun BEECROFT, 2014. "Inclusive human development in pre-crisis times of globalisation-driven debts," Working Papers of the African Governance and Development Institute. 14/024, African Governance and Development Institute..
    4. Simplice Asongu, 2015. "The impact of mobile phone penetration on African inequality," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 42(8), pages 706-716, August.
    5. Mongi Lassoued, 2021. "Control of corruption, microfinance, and income inequality in MENA countries: evidence from panel data," SN Business & Economics, Springer, vol. 1(7), pages 1-19, July.
    6. Bolarinwa, Segun Thompson & Akinlo, Anthony Enisan, 2021. "Is there a nonlinear relationship between financial development and income inequality in Africa? Evidence from dynamic panel threshold," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    7. Inoue, Takeshi & Hamori, Shigeyuki, 2010. "How has financial deepening affected poverty reduction in India? : empirical analysis using state-level panel data," IDE Discussion Papers 249, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    8. Simplice A. Asongu, 2014. "New Financial Development Indicators: With a Critical Contribution to Inequality Empirics," The International Journal of Economic Behavior - IJEB, Faculty of Business and Administration, University of Bucharest, vol. 4(1), pages 33-50.
    9. Asongu Simplice, 2012. "Globalization, (fighting) corruption and development: how are these phenomena linearly and nonlinearly related in wealth effects?," Working Papers of the African Governance and Development Institute. 12/024, African Governance and Development Institute..
    10. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Mobile Phone Penetration, Mobile Banking and Inclusive Development in Africa," The African Finance Journal, Africagrowth Institute, vol. 18(1), pages 34-52.
    11. Asongu Simplice, 2013. "How do financial reforms affect inequality through financial sector competition? Evidence from Africa," Working Papers of the African Governance and Development Institute. 13/011, African Governance and Development Institute..
    12. Asongu, Simplice & Tchamyou, Vanessa, 2015. "Inequality, Finance and Pro-Poor Investment in Africa," MPRA Paper 71171, University Library of Munich, Germany.
    13. Asongu, Simplice A., 2013. "How do institutions matter in the income-equalizing effect of mobile phone penetration?," European Economic Letters, European Economics Letters Group, vol. 2(2), pages 56-61.
    14. Asongu, Simplice & Nting, Rexon, 2021. "The role of finance in inclusive human development in Africa revisited," MPRA Paper 109846, University Library of Munich, Germany.
    15. Noumba, Issidor & Nguea, Stéphane Mbiankeu, 2023. "Assessing the role of globalization for universal electricity access," International Economics, Elsevier, vol. 174(C), pages 180-195.
    16. Attila Jambor & Nuno Carlos Leitao, 2017. "Economic Growth and Sustainable Development: Evidence from Central and Eastern Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 171-177.
    17. Asongu Simplice, 2013. "Inequality, poverty and quality of institutions: which freedom channels of globalization matter for Africa?," Working Papers of the African Governance and Development Institute. 13/014, African Governance and Development Institute..
    18. Noumba, Issidor & Noula, Armand Gilbert & Nguea, Stéphane Mbiankeu, 2022. "Do globalization and resource rents matter for human well-being? Evidence from African countries," International Economics, Elsevier, vol. 170(C), pages 49-65.
    19. Abdullah Almounsor & Sami Mensi, 2024. "The Relationship Between Financial Development, Institutions Quality, and Income Inequality from the Sub-Saharan Africa Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14307-14338, September.
    20. Simplice A, Asongu, 2012. "Globalization and Africa: implications for human development," MPRA Paper 36541, University Library of Munich, Germany.
    21. Asongu, Simplice, 2013. "Mobile banking and mobile phone penetration: which is more pro-poor in Africa?," MPRA Paper 56800, University Library of Munich, Germany.
    22. Imran Khan & Zuhaba Nawaz & Bilal Bin Saeed, 2021. "Does trade openness and FDI reduce inequality? Evidence from South Asia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6459-6470, October.
    23. Hassine, Nadia Belhaj, 2015. "Economic Inequality in the Arab Region," World Development, Elsevier, vol. 66(C), pages 532-556.
    24. Muhammad Haseeb & Tulus Suryanto & Nira Hariyatie Hartani & Kittisak Jermsittiparsert, 2020. "Nexus Between Globalization, Income Inequality and Human Development in Indonesian Economy: Evidence from Application of Partial and Multiple Wavelet Coherence," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 723-745, February.
    25. Enowbi Batuo, Michael & Asongu, Simplice A., 2012. "The impact of liberalisation policies on income inequality in african countries," MPRA Paper 43344, University Library of Munich, Germany.
    26. Simplice A., Asongu, 2011. "Investment and inequality in Africa: which financial channels are good for the poor?," MPRA Paper 34990, University Library of Munich, Germany.
    27. Nuno Carlos LEITÃO, 2012. "Financial Management and Economic Growth: The European Countries Experience," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(2), pages 261-268, December.
    28. Asongu, Simplice, 2015. "Financial development in Africa - a critical examination," MPRA Paper 82131, University Library of Munich, Germany.
    29. Asongu, Simplice & Nwachukwu, Jacinta C., 2015. "Finance and Inclusive Human Development: Evidence from Africa," MPRA Paper 71787, University Library of Munich, Germany.
    30. Leitão, Nuno Carlos, 2012. "The impact of trade on economic growth," MPRA Paper 37425, University Library of Munich, Germany.
    31. Leitão, Nuno Carlos, 2012. "Bank credit and economic growth," MPRA Paper 42664, University Library of Munich, Germany, revised 2012.
    32. Kaidi Nasreddine & Sami Mensi, 2016. "Financial Development and Income Inequality: The Linear versus the Nonlinear Hypothesis," Economics Bulletin, AccessEcon, vol. 36(2), pages 609-626.
    33. Huang, Kaixing & Yan, Wenshou & Sim, Nicholas & Guo, Yuqing & Xie, Fang, 2022. "Can trade explain the rising trends in income inequality? Insights from 40 years of empirical studies," Economic Modelling, Elsevier, vol. 107(C).
    34. Mukhopadhyay, Jyoti Prasad, 2014. "Does access to microfinance affect consumption inequality? :evidence from a randomized controlled trial in Andhra Pradesh, India," MPRA Paper 58674, University Library of Munich, Germany.
    35. Mieno, Fumiharu & 三重野, 文晴 & Kai, Hisako, 2012. "Do Subsidies Enhance or Erode the Cost Efficiency of Microfinance? Evidence from MFI Worldwide Micro Data," CEI Working Paper Series 2011-14, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    36. Kwame Acheampong, 2019. "The interaction effect of foreign capital inflows and financial development on economic welfare in sub-Saharan Africa," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-33, December.
    37. Asongu Simplice & Michael E. Batuo, 2012. "The Impact of Liberalisation Policies on Inequality in Africa," Working Papers of the African Governance and Development Institute. 12/038, African Governance and Development Institute..
    38. Thomas CHUFFART & Marie-Line DUBOZ & Paipet Corine ZOGBE, 2023. "Microfinance, inclusion financière et inégalités de revenus dans l’UEMOA," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 58, pages 103-121.
    39. Aviral Kumar Tiwari & Muhammad Shahbaz & Faridul Islam, 2013. "Does financial development increase rural‐urban income inequality?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 40(2), pages 151-168, January.
    40. Theresa Mannah-Blankson, 2018. "Gender Inequality and Access to Microfinance: Evidence from Ghana," Journal of African Development, African Finance and Economic Association (AFEA), vol. 20(2), pages 21-33.
    41. Abrar, Afsheen & Hasan, Iftekhar & Kabir, Rezaul, 2021. "Finance-growth nexus and banking efficiency: The impact of microfinance institutions," Journal of Economics and Business, Elsevier, vol. 114(C).
    42. Mieno, Fumiharu & Kai, Hisako, 2012. "Do Subsidies Enhance or Erode the Cost Efficiency of Microfinance? Evidence from MFI Worldwide Micro Data," PRIMCED Discussion Paper Series 26, Institute of Economic Research, Hitotsubashi University.
    43. Ndéné Ka, 2021. "Proo-poor growth modeling in developing countries: A Gini regression approach," Economics Bulletin, AccessEcon, vol. 41(2), pages 316-327.

  20. Inoue, Takeshi & Hamori, Shigeyuki, 2009. "What Explains Real and Nominal Exchange Rate Fluctuations? Evidence from SVAR Analysis for India," IDE Discussion Papers 216, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Ghosh, Sunandan & Kundu, Srikanta, 2019. "Central Bank Intervention in Foreign Exchange Market under Managed Float: A Three Regime Threshold VAR Analysis of Indian Rupee-US Dollar Exchange Rate," MPRA Paper 93466, University Library of Munich, Germany.
    2. Kubo, Koji, 2013. "Sources of fluctuations in parallel exchange rates and policy reform in Myanmar," IDE Discussion Papers 388, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    3. Chen, Chuanglian & Yao, Shujie & Ou, Jinghua, 2017. "Exchange rate dynamics in a Taylor rule framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 158-173.
    4. Biswajit Maitra, 2016. "Monetary, Real Shocks And Exchange Rate Variations In India," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(1), pages 81-103, March.
    5. Mostafa Goudarzi & Komeil Khanarinejad & Zahra Ardakani, 2012. "Investigation of the Factors Affecting Real Exchange Rate in Iran," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 4(4), pages 55-67, August.

  21. Inoue, Takeshi & Hamori, Shigeyuki, 2009. "An Empirical Analysis of the Monetary Policy Reaction Function in India," IDE Discussion Papers 200, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Gupta, Poonam & Eichengreen, Barry & Choudhary, Rishabh, 2021. "Inflation Targeting in India : An Interim Assessment," MPRA Paper 112656, University Library of Munich, Germany.
    2. Kapur, Muneesh & Behera, Harendra, 2012. "Monetary Transmission Mechanism in India: A Quarterly Model," MPRA Paper 70631, University Library of Munich, Germany.
    3. Lavaneesvari Manogaran* & Siok Kun Sek, 2018. "Examining the Threshold Effect of Exchange Rate Changes on Monetary Policy Reaction Function of ASEAN-5: A Panel Threshold Approach," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 243-248:2.
    4. Muneesh Kapur & Michael Debabrata Patra, 2010. "A Monetary Policy Model Without Money for India," IMF Working Papers 2010/183, International Monetary Fund.
    5. Muneesh Kapur & Michael Debabrata Patra, 2012. "Alternative Monetary Policy Rules for India," IMF Working Papers 2012/118, International Monetary Fund.

  22. Shigeyuki, Hamori & Yoichi, Matsubayashi, 2009. "Empirical Analysis of Export Demand Behavior of LDCs: Panel Cointegration Approach," MPRA Paper 17316, University Library of Munich, Germany.

    Cited by:

    1. Francesco Aiello & Graziella Bonanno & Alessia Via, 2015. "Again on trade elasticities: evidence from a selected sample of countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 259-287, December.
    2. Bolaji Adesola Adesoye, 2017. "Macroeconomic Effects of Export Demand in Nigeria," EuroEconomica, Danubius University of Galati, issue 1(36), pages 122-130, May.
    3. AYODOTUN, Ayorinde & FARAYIBI, Adesoji, 2016. "An Empirical Analysis of the Structure of Imports in Sub-Sahara Africa," MPRA Paper 73278, University Library of Munich, Germany.
    4. Rabia Latif & Attiya Yasmin Javid, 2016. "The Determinants of Pakistan Exports of Textile: An Integrated Demand and Supply Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(3), pages 191-210.
    5. Francesco Aiello & Graziella Bonanno & Alessia Via, 2015. "New Evidence on Export Price Elasticity from China and Six OECD Countries," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(6), pages 56-78, November.
    6. Aiello, Francesco & Bonanno, Graziella & Via, Alessia, 2014. "Do export price elasticities support tensions in currency markets? Evidence from China and six OECD countries," MPRA Paper 56727, University Library of Munich, Germany.

  23. Inoue, Takeshi & Hamori, Shigeyuki, 2008. "An empirical analysis of the money demand function in India," IDE Discussion Papers 166, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Khalfaoui, Rabeh & Padhan, Hemachandra & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Resources Policy, Elsevier, vol. 68(C).
    2. Aggarwal, Sakshi, 2017. "Determinants of Money Demand for India in Presence of Structural Break: An Empirical Analysis," MPRA Paper 76967, University Library of Munich, Germany.
    3. Prakash Singh & Manoj K. Pandey, 2009. "Structural Break, Stability and Demand for Money in India," ASARC Working Papers 2009-07, The Australian National University, Australia South Asia Research Centre.
    4. S. M. Woahid Murad & Ruhul Salim & Md. Golam Kibria, 2021. "Asymmetric Effects of Economic Policy Uncertainty on the Demand for Money in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 451-470, September.
    5. Afees Salisu & Idris Ademuyiwa & Basiru Fatai, 2013. "Modelling the Demand for Money in Sub-Saharan Africa (SSA)," Economics Bulletin, AccessEcon, vol. 33(1), pages 635-647.
    6. Lee-Chea Hiew & Chin-Hong Puah & Mohammad Affendy Arip & Mei-Teing Chong, 2019. "Role of Advertising Expenditure as an Influential Non-traditional Regressor in Russia¡¯s Money Demand Specification," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 10(6), pages 232-240, October.
    7. Nitin, Arora & Asghar, OsatiEraghi, 2016. "Does India have a stable demand for money function after reforms? A macroeconometric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 44, pages 25-37.
    8. Felix S. Nyumuah, 2017. "An Investigation into the Interest Elasticity of Demand for Money in Developing Countries: A Panel Data Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 69-80, March.
    9. Mr. Andrew Berg & Ms. Filiz D Unsal & Mr. Rafael A Portillo, 2010. "On the Optimal Adherence to Money Targets in a New-Keynesian Framework: An Application to Low-Income Countries," IMF Working Papers 2010/134, International Monetary Fund.
    10. Chandan Sharma, 2009. "Does Full Sterilization Feasible in Era of Excess Volatility: Evidence from India," Economics Bulletin, AccessEcon, vol. 29(4), pages 2944-2950.
    11. J. Paul Dunne & Elizabeth Kasekende, 2017. "Financial Innovation and Money Demand: Evidence from Sub-Saharan Africa," School of Economics Macroeconomic Discussion Paper Series 2017-06, School of Economics, University of Cape Town.
    12. Nicholas Apergis, 2015. "Long-run estimates of money demand: new evidence from East Asian countries and the presence of structural breaks," Applied Economics, Taylor & Francis Journals, vol. 47(31), pages 3276-3291, July.
    13. Jiranyakul, Komain & Opiela, Timothy, 2014. "An Empirical Test of Money Demand in Thailand from 1993 to 2012," MPRA Paper 54162, University Library of Munich, Germany.
    14. Agya Atabani Adi & Joshua Sunday Riti, 2017. "Determination of Long and Short Run Demand for Money in the West African Monetary Zone (WAMZ) Countries: A Panel Analysis," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(2), pages 79-97, December.
    15. Sambulo Malumisa, 2015. "Structural Breaks, Stability and Demand for Money in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 7(5), pages 79-90.
    16. Muhammad Ahad, 2017. "Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan," Global Business Review, International Management Institute, vol. 18(4), pages 811-824, August.
    17. Dobnik, Frauke, 2011. "Long-run Money Demand in OECD Countries – Cross-Member Cointegration," Ruhr Economic Papers 237, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    18. Payam MOHAMMAD ALIHA & Tamat SARMIDI & Abu Hassan SHAAR & Fathin FAIZAH SAID, 2017. "Using Ardl Approach To Cointehration For Investigating The Relationship Between Payment Technologies And Money Demand On A World Scale," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 29-37, December.
    19. John Bosco Nnyanzi, 2018. "The Interaction Effect of Financial Innovation and the Transmission Channels on Money Demand in Uganda," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-1, December.
    20. Samih Antoine Azar & Fadi Asrawi & Emad Gharzuddine, 2017. "Economic Integration in the Six Middle Eastern Gulf Countries: A Look from the Perspective of Money Demand," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(3), pages 189-218, December.
    21. Masudul Hasan Adil & Neeraj Hatekar & Pravakar Sahoo, 2020. "The Impact of Financial Innovation on the Money Demand Function: An Empirical Verification in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(1), pages 28-61, February.

Articles

  1. Jin Shang & Shigeyuki Hamori, 2023. "Differential Tail Dependence between Crude Oil and Forex Markets in Oil-Importing and Oil-Exporting Countries during Recent Crisis Periods," Sustainability, MDPI, vol. 15(19), pages 1-24, October.

    Cited by:

    1. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).

  2. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).

    Cited by:

    1. Yuan, Ying & Du, Xinyu, 2023. "Dynamic spillovers across global stock markets during the COVID-19 pandemic: Evidence from jumps and higher moments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    2. Yan-Hong Yang & Ying-Lin Liu & Ying-Hui Shao, 2023. "Visibility graph analysis of crude oil futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," Papers 2310.18903, arXiv.org, revised Jun 2024.
    3. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Tiwari, Aviral Kumar & Wali Ullah, G M, 2024. "Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets," Research in International Business and Finance, Elsevier, vol. 69(C).
    4. Gao, Yang & Zhou, Yueyi & Zhao, Longfeng, 2024. "Quantile interdependence and network connectedness between China's green financial and energy markets," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1148-1177.
    5. Yang, Cai & Zhang, Hongwei & Weng, Futian, 2024. "Effects of COVID-19 vaccination programs on EU carbon price forecasts: Evidence from explainable machine learning," International Review of Financial Analysis, Elsevier, vol. 91(C).
    6. Zhou, Xiaoran & Enilov, Martin & Parhi, Mamata, 2024. "Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets," Energy Economics, Elsevier, vol. 132(C).
    7. El Khoury, Rim & Alshater, Muneer M. & Li, Yanshuang & Xiong, Xiong, 2024. "Quantile time-frequency connectedness among G7 stock markets and clean energy markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 71-90.
    8. Zhang, Yi & Zhou, Long & Wu, Baoxiu & Liu, Fang, 2024. "Tail risk transmission from the United States to emerging stock Markets: Empirical evidence from multivariate quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    9. Younis, Ijaz & Gupta, Himani & Du, Anna Min & Shah, Waheed Ullah & Hanif, Waqas, 2024. "Spillover dynamics in DeFi, G7 banks, and equity markets during global crises: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 70(PB).

  3. Yang, Lu & Hamori, Shigeyuki, 2023. "Modeling the global sovereign credit network under climate change," International Review of Financial Analysis, Elsevier, vol. 87(C).

    Cited by:

    1. Chatjuthamard, Pattanaporn & Singh, Simran & Jiraporn, Pornsit & Lee, Sang Mook, 2024. "Climate change exposure, shareholder wealth, and the adoption of the Paris agreement: A text-based approach," International Review of Financial Analysis, Elsevier, vol. 94(C).
    2. Chuansong Zhao & Chunxia Li & Jianxu Liu & Haixia Lian & Woraphon Yamaka, 2024. "Analysis of Factors Affecting the Spatial Association Network of Food Security Level in China," Agriculture, MDPI, vol. 14(11), pages 1-25, October.
    3. Yang, Lu, 2023. "Oil price bubbles: The role of network centrality on idiosyncratic sovereign risk," Resources Policy, Elsevier, vol. 82(C).
    4. Naifar, Nader, 2024. "Spillover among Sovereign Credit Risk and the Role of Climate Uncertainty," Finance Research Letters, Elsevier, vol. 61(C).

  4. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.

    Cited by:

    1. Sara Boni & Massimiliano Caporin & Francesco Ravazzolo, 2024. "Nowcasting Inflation at Quantiles: Causality from Commodities," BEMPS - Bozen Economics & Management Paper Series BEMPS102, Faculty of Economics and Management at the Free University of Bozen.

  5. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.

    Cited by:

    1. Qi, Haozhi & Ma, Lijun & Peng, Pin & Chen, Hao & Li, Kang, 2022. "Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    2. Maquieira, Carlos P. & Espinosa-Méndez, Christian & Gahona-Flores, Orlando, 2023. "How does economic policy uncertainty (EPU) impact copper-firms stock returns? International evidence," Resources Policy, Elsevier, vol. 81(C).
    3. Wojciech Charemza & Svetlana Makarova & Krzysztof Rybiński, 2023. "Anti-pandemic restrictions, uncertainty and sentiment in seven countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 1-27, February.
    4. Amelia Bilbao-Terol & Mar Arenas-Parra & Raquel Quiroga-García & Celia Bilbao-Terol, 2024. "Is investing in the renewable energy stock market both financially and ESG efficient? A COVID-19 pandemic analysis," Review of Managerial Science, Springer, vol. 18(7), pages 1885-1916, July.
    5. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Kenku, Oluwademilade T. & Al-Faryan, Mamdouh Abdulaziz Saleh, 2022. "Comparative response of global energy firm stocks to uncertainties from the crude oil market, stock market, and economic policy," Resources Policy, Elsevier, vol. 79(C).
    7. Duan, Xiaoping & Xiao, Ya & Ren, Xiaohang & Taghizadeh-Hesary, Farhad & Duan, Kun, 2023. "Dynamic spillover between traditional energy markets and emerging green markets: Implications for sustainable development," Resources Policy, Elsevier, vol. 82(C).
    8. Deng, Jing & Zheng, Huike & Xing, Xiaoyun, 2023. "Dynamic spillover and systemic importance analysis of global clean energy companies: A tail risk network perspective," Finance Research Letters, Elsevier, vol. 55(PB).
    9. Cepni, Oguzhan & Demirer, Riza & Pham, Linh & Rognone, Lavinia, 2023. "Climate uncertainty and information transmissions across the conventional and ESG assets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    10. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).
    11. Zhang, Li & Wang, Lu & Peng, Lijuan & Luo, Keyu, 2023. "Measuring the response of clean energy stock price volatility to extreme shocks," Renewable Energy, Elsevier, vol. 206(C), pages 1289-1300.
    12. Mensi, Walid & Vo, Xuan Vinh & Ko, Hee-Un & Kang, Sang Hoon, 2023. "Frequency spillovers between green bonds, global factors and stock market before and during COVID-19 crisis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 558-580.

  6. Zhang, Yulian & Hamori, Shigeyuki, 2022. "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 182-203.

    Cited by:

    1. Wei Hu & Yue Shan & Yun Deng & Ningning Fu & Jian Duan & Haining Jiang & Jianzhen Zhang, 2023. "Geopolitical Risk Evolution and Obstacle Factors of Countries along the Belt and Road and Its Types Classification," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    2. Lee, Chien-Chiang & Lou, Runchi & Wang, Fuhao, 2023. "Geopolitical risk and the sustainable utilization of natural resources: Evidence from developing countries," Resources Policy, Elsevier, vol. 85(PA).
    3. Liu, Ke & Fu, Qiang & Ma, Qing & Ren, Xiang, 2024. "Does geopolitical risk affect exports? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1558-1569.
    4. Ahmed BenSaïda, 2023. "The linkage between Bitcoin and foreign exchanges in developed and emerging markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    5. Naeem, Muhammad Abubakr & Hamouda, Foued & Karim, Sitara & Vigne, Samuel A., 2023. "Return and volatility spillovers among global assets: Comparing health crisis with geopolitical crisis," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 557-575.
    6. Wang, Kai-Hua & Wen, Cui-Ping & Liu, Hong-Wen & Liu, Lu, 2023. "Promotion or hindrance? Exploring the bidirectional causality between geopolitical risk and green bonds from an energy perspective," Resources Policy, Elsevier, vol. 85(PB).
    7. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.
    8. Nguyen, Thanh Cong & Thuy, Tien Ho, 2023. "Geopolitical risk and the cost of bank loans," Finance Research Letters, Elsevier, vol. 54(C).
    9. Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.

  7. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).

    Cited by:

    1. Wu, Ruirui & Qin, Zhongfeng, 2024. "Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets," Energy, Elsevier, vol. 292(C).
    2. Liu, Min & Guo, Tongji & Ping, Weiying & Luo, Liangqing, 2023. "Sustainability and stability: Will ESG investment reduce the return and volatility spillover effects across the Chinese financial market?," Energy Economics, Elsevier, vol. 121(C).
    3. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    4. Cui, Jinxin & Alshater, Muneer M. & Mensi, Walid, 2023. "Higher-order moment risk spillovers and optimal portfolio strategies in global oil markets," Resources Policy, Elsevier, vol. 86(PA).
    5. Manuel Carlos Nogueira & Mara Madaleno, 2022. "Are Sustainability Indices Infected by the Volatility of Stock Indices? Analysis before and after the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    6. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    7. Mohammad Sahabuddin & Md. Aminul Islam & Mosab I. Tabash & Md. Kausar Alam & Linda Nalini Daniel & Imad Ibraheem Mostafa, 2023. "Dynamic Conditional Correlation and Volatility Spillover between Conventional and Islamic Stock Markets: Evidence from Developed and Emerging Countries," JRFM, MDPI, vol. 16(2), pages 1-19, February.
    8. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).
    9. Bentes, Sónia R., 2023. "Is gold a safe haven for the CIVETS countries under extremely adverse market conditions? Some new evidence from the MF-DCCA analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    10. Huang, Zishan & Zhu, Huiming & Hau, Liya & Deng, Xi, 2023. "Time-frequency co-movement and network connectedness between green bond and financial asset markets: Evidence from multiscale TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    11. Naeem, Muhammad Abubakr & Gul, Raazia & Shafiullah, Muhammad & Karim, Sitara & Lucey, Brian M., 2024. "Tail risk spillovers between Shanghai oil and other markets," Energy Economics, Elsevier, vol. 130(C).
    12. Gong, Xiao-Li & Zhao, Min & Wu, Zhuo-Cheng & Jia, Kai-Wen & Xiong, Xiong, 2023. "Research on tail risk contagion in international energy markets—The quantile time-frequency volatility spillover perspective," Energy Economics, Elsevier, vol. 121(C).
    13. Polat, Onur & Ozcan, Burcu & Ertuğrul, Hasan Murat & Atılgan, Emre & Özün, Alper, 2024. "Fintech: A Conduit for sustainability and renewable energy? Evidence from R2 connectedness analysis," Resources Policy, Elsevier, vol. 94(C).
    14. Lucey, Brian & Ren, Boru, 2023. "Time-varying tail risk connectedness among sustainability-related products and fossil energy investments," Energy Economics, Elsevier, vol. 126(C).
    15. Hassan, Aminu & Ibrahim, Masud Usman & Bala, Ahmed Jinjiri, 2024. "Vulnerability of a developing stock market to openness: One-way return and volatility transmissions," International Review of Financial Analysis, Elsevier, vol. 93(C).
    16. Zhang, Wenting & Liu, Tiantian & Zhang, Yulian & Hamori, Shigeyuki, 2024. "Can NFTs hedge the risk of traditional assets after the COVID-19 pandemic?," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    17. Aloui, Donia & Benkraiem, Ramzi & Guesmi, Khaled & Vigne, Samuel, 2023. "The European Central Bank and green finance: How would the green quantitative easing affect the investors' behavior during times of crisis?," International Review of Financial Analysis, Elsevier, vol. 85(C).
    18. Naeem, Muhammad Abubakr & Anwer, Zaheer & Khan, Ashraf & Paltrinieri, Andrea, 2024. "Do market conditions affect interconnectedness pattern of socially responsible equities?," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 611-630.
    19. Lin, Xiang & Bali Swain, Ranjula, 2024. "Performance of negatively screened sustainable investments during crisis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1226-1247.

  8. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.

    Cited by:

    1. Wei, Yu & Wang, Zhuo & Li, Dongxin & Chen, Xiaodan, 2022. "Can infectious disease pandemic impact the long-term volatility and correlation of gold and crude oil markets?," Finance Research Letters, Elsevier, vol. 47(PA).
    2. Ngo Thai Hung, 2022. "The COVID-19 effects on cryptocurrency markets: robust evidence from time-frequency analysis," Economics Bulletin, AccessEcon, vol. 42(1), pages 109-123.
    3. Zhang, Yulian & Hamori, Shigeyuki, 2022. "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 182-203.
    4. Asafo-Adjei, Emmanuel & Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Lee, Chi-Chuan, 2024. "Risk synchronization in Australia stock market: A sector analysis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 582-610.
    5. Mensi, Walid & El Khoury, Rim & Ali, Syed Riaz Mahmood & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Quantile dependencies and connectedness between the gold and cryptocurrency markets: Effects of the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. Abdullah, Mohammad & Sarker, Provash Kumer & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Rehman, Mohd Ziaur, 2024. "Tail risk intersection between tech-tokens and tech-stocks," Global Finance Journal, Elsevier, vol. 61(C).
    7. Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    8. Mensi, Walid & Vo, Xuan Vinh & Ko, Hee-Un & Kang, Sang Hoon, 2023. "Frequency spillovers between green bonds, global factors and stock market before and during COVID-19 crisis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 558-580.
    9. Jiang, He & Hu, Weiqiang & Xiao, Ling & Dong, Yao, 2022. "A decomposition ensemble based deep learning approach for crude oil price forecasting," Resources Policy, Elsevier, vol. 78(C).

  9. Shang, Jin & Hamori, Shigeyuki, 2021. "Do crude oil prices and the sentiment index influence foreign exchange rates differently in oil-importing and oil-exporting countries? A dynamic connectedness analysis," Resources Policy, Elsevier, vol. 74(C).

    Cited by:

    1. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    2. Jia, Zeng & Alharthi, Majed & Haijun, Tian & Mehmood, Sumera & Hanif, Imran, 2024. "Relationship between natural resources, economic growth, and carbon emissions: The role of fintech, information technology and corruption to achieve the targets of COP-27," Resources Policy, Elsevier, vol. 90(C).
    3. Bruna, Karel & Van Tran, Quang, 2023. "Asymmetric effects of oil price shocks on EUR/USD exchange rate and structural shock decomposition in a BVAR model with sign restriction," Energy Economics, Elsevier, vol. 128(C).
    4. Le, Thai Hong & Luong, Anh Tram, 2022. "Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam," Resources Policy, Elsevier, vol. 78(C).
    5. Lei, Xiying & Yang, Yao & Alharthi, Majed & Rasul, Farhat & Faraz Raza, Syed Muhammad, 2022. "Immense reliance on natural resources and environmental challenges in G-20 economies through the lens of COP-26 targets," Resources Policy, Elsevier, vol. 79(C).
    6. Shiying Chen & Bisharat Hussain Chang & Hu Fu & ShiQi Xie, 2024. "Dynamic analysis of the relationship between exchange rates and oil prices: a comparison between oil exporting and oil importing countries," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    7. Lu, Man & Chang, Bisharat Hussain & Salman, Asma & Razzaq, Muthanna G. Abdul & Uddin, Mohammed Ahmar, 2023. "Time varying connectedness between foreign exchange markets and crude oil futures prices," Resources Policy, Elsevier, vol. 86(PB).
    8. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    9. Hicham Ayad & Ousama Ben-Salha & Miloud Ouafi, 2023. "Do oil prices predict the exchange rate in Algeria? Time, frequency, and time‐varying Granger causality analysis," Economic Change and Restructuring, Springer, vol. 56(5), pages 3545-3566, October.
    10. Zhu, Huiming & Li, Shuang & Huang, Zishan, 2023. "Frequency domain quantile dependence and connectedness between crude oil and exchange rates: Evidence from oil-importing and exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 1-30.
    11. Sokhanvar, Amin & Çiftçioğlu, Serhan & Lee, Chien-Chiang, 2023. "The effect of energy price shocks on commodity currencies during the war in Ukraine," Resources Policy, Elsevier, vol. 82(C).
    12. Chang, Lei & Baloch, Zulfiqar Ali & Saydaliev, Hayot Berk & Hyder, Mansoor & Dilanchiev, Azer, 2022. "Testing oil price volatility during Covid-19: Global economic impact," Resources Policy, Elsevier, vol. 78(C).
    13. Han, Mengjiao & Fan, Qingju & Ling, Guang, 2022. "Multiscale online-horizontal-visibility-graph correlation analysis of financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    14. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    15. Liu, Meihan & Baisheng, Shi & Alharthi, Majed & Hassan, Muhammad Shahid & Hanif, Imran, 2023. "The role of natural resources, clean energy and technology in mitigating carbon emissions in top populated countries," Resources Policy, Elsevier, vol. 83(C).
    16. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    17. Al-Fayoumi, Nedal & Bouri, Elie & Abuzayed, Bana, 2023. "Decomposed oil price shocks and GCC stock market sector returns and volatility," Energy Economics, Elsevier, vol. 126(C).
    18. Kumar, Pawan & Singh, Vipul Kumar, 2022. "Does crude oil fire the emerging markets currencies contagion spillover? A systemic perspective," Energy Economics, Elsevier, vol. 116(C).
    19. Wang, Lu & Ruan, Hang & Hong, Yanran & Luo, Keyu, 2023. "Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method," Research in International Business and Finance, Elsevier, vol. 64(C).
    20. Chatziantoniou, Ioannis & Elsayed, Ahmed H. & Gabauer, David & Gozgor, Giray, 2023. "Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies," Energy Economics, Elsevier, vol. 120(C).
    21. Liu, Fang & Umair, Muhammad & Gao, Junjun, 2023. "Assessing oil price volatility co-movement with stock market volatility through quantile regression approach," Resources Policy, Elsevier, vol. 81(C).
    22. Moinak Maiti & Parthajit Kayal, 2022. "Asymmetric Information Flow between Exchange Rate, Oil, and Gold: New Evidence from Transfer Entropy Approach," JRFM, MDPI, vol. 16(1), pages 1-14, December.

  10. Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.

    Cited by:

    1. Gunnarsson, Elias Søvik & Isern, Håkon Ramon & Kaloudis, Aristidis & Risstad, Morten & Vigdel, Benjamin & Westgaard, Sjur, 2024. "Prediction of realized volatility and implied volatility indices using AI and machine learning: A review," International Review of Financial Analysis, Elsevier, vol. 93(C).

  11. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).

    Cited by:

    1. Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
    2. Elie Bouri & Rangan Gupta & Asingamaanda Liphadzi & Christian Pierdzioch, 2024. "Forecasting Stock Returns Volatility of the G7 Over Centuries: The Role of Climate Risks," Working Papers 202424, University of Pretoria, Department of Economics.
    3. Aloui, Riadh & Ben Jabeur, Sami & Mefteh-Wali, Salma, 2022. "Tail-risk spillovers from China to G7 stock market returns during the COVID-19 outbreak: A market and sectoral analysis," Research in International Business and Finance, Elsevier, vol. 62(C).
    4. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    5. Zhang, Hongwei & Jin, Chen & Bouri, Elie & Gao, Wang & Xu, Yahua, 2023. "Realized higher-order moments spillovers between commodity and stock markets: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 30(C).
    6. Mensi, Walid & Ko, Hee-Un & Sensoy, Ahmet & Kang, Sang Hoon, 2024. "Higher-order moment connectedness between stock and commodity markets and portfolio management," Resources Policy, Elsevier, vol. 89(C).
    7. Trung H. Le, 2024. "Forecasting VaR and ES in emerging markets: The role of time‐varying higher moments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 402-414, March.
    8. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).
    9. Apergis, Nicholas, 2023. "Realized higher-order moments spillovers across cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    10. Alomari, Mohammed & Selmi, Refk & Mensi, Walid & Ko, Hee-Un & Kang, Sang Hoon, 2024. "Dynamic spillovers in higher moments and jumps across ETFs and economic and financial uncertainty factors in the context of successive shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 210-228.
    11. David Gabauer & Rangan Gupta & Hardik A. Marfatia & Stephen M. Miller, 2020. "Estimating U.S. Housing Price Network Connectedness: Evidence from Dynamic Elastic Net, Lasso, and Ridge Vector Autoregressive Models," Working papers 2020-08, University of Connecticut, Department of Economics.
    12. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    13. Zhang, Yunhan & Gabauer, David & Gupta, Rangan & Ji, Qiang, 2024. "How connected is the oil-bank network? Firm-level and high-frequency evidence," Energy Economics, Elsevier, vol. 136(C).
    14. Xie He & Shigeyuki Hamori, 2023. "The Higher the Better? Hedging and Investment Strategies in Cryptocurrency Markets : Insights from Higher Moment Spillovers," Discussion Papers 2315, Graduate School of Economics, Kobe University.
    15. Elroi Hadad & Davinder Malhotra & Srinivas Nippani, 2024. "Trading commodity ETFs: Price behavior, investment insights, and performance analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1257-1276, July.
    16. Nekhili, Ramzi & Mensi, Walid & Vo, Xuan Vinh, 2021. "Multiscale spillovers and connectedness between gold, copper, oil, wheat and currency markets," Resources Policy, Elsevier, vol. 74(C).
    17. Naeem, Muhammad Abubakr & Hamouda, Foued & Karim, Sitara & Vigne, Samuel A., 2023. "Return and volatility spillovers among global assets: Comparing health crisis with geopolitical crisis," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 557-575.
    18. Bouri, Elie, 2023. "Spillovers in the joint system of conditional higher-order moments: US evidence from green energy, brown energy, and technology stocks," Renewable Energy, Elsevier, vol. 210(C), pages 507-523.
    19. Oktay Ozkan & Salah Abosedra & Arshian Sharif & Andrew Adewale Alola, 2024. "Dynamic volatility among fossil energy, clean energy and major assets: evidence from the novel DCC-GARCH," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-19, June.
    20. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Uncertainty matters in US financial information spillovers: Evidence from a directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 229-242.
    21. Cui, Jinxin & Maghyereh, Aktham, 2024. "Higher-order moment risk spillovers across various financial and commodity markets: Insights from the Israeli–Palestinian conflict," Finance Research Letters, Elsevier, vol. 59(C).
    22. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Qiang Ji, 2024. "Long-Span Multi-Layer Spillovers between Moments of Advanced Equity Markets: The Role of Climate Risks," Working Papers 202415, University of Pretoria, Department of Economics.
    23. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    24. Xu, Hao & Li, Songsong, 2023. "What impacts foreign capital flows to China's stock markets? Evidence from financial risk spillover networks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 559-577.
    25. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    26. Qin, Yun & Zhang, Zitao, 2024. "Transmission mechanisms of the effects of geopolitical risk on energy returns and volatility," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    27. Chen, Bin-xia & Sun, Yan-lin, 2024. "Financial market connectedness between the U.S. and China: A new perspective based on non-linear causality networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    28. Zheng, Yingfei & Shen, Anran & Li, Ruihai & Yang, Yuhong & Wang, Shengjin & Cheng, Lee-Young, 2023. "Spillover effects between internet financial industry and traditional financial industry: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

  12. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.

    Cited by:

    1. Su, Xianfang & Guo, Dawei & Dai, Liang, 2023. "Do green bond and green stock markets boom and bust together? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
    2. Bouteska, Ahmed & Ha, Le Thanh & Bhuiyan, Faruk & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Contagion between investor sentiment and green bonds in China during the global uncertainties," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 469-484.
    3. Kuang, Wei, 2021. "Which clean energy sectors are attractive? A portfolio diversification perspective," Energy Economics, Elsevier, vol. 104(C).
    4. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).
    5. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2022. "Renewable energy stocks forecast using Twitter investor sentiment and deep learning," Energy Economics, Elsevier, vol. 114(C).

  13. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).

    Cited by:

    1. Hu, Yang & Lang, Chunlin & Corbet, Shaen & Wang, Junchuan, 2024. "The impact of COVID-19 on the volatility connectedness of the Chinese tourism sector," Research in International Business and Finance, Elsevier, vol. 68(C).
    2. Hao-Lin Shao & Ying-Hui Shao & Yan-Hong Yang, 2021. "New insights into price drivers of crude oil futures markets: Evidence from quantile ARDL approach," Papers 2110.02693, arXiv.org.
    3. Adekoya, Oluwasegun B. & Akinseye, Ademola B. & Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Gabauer, David & Oliyide, Johnson, 2022. "Crude oil and Islamic sectoral stocks: Asymmetric TVP-VAR connectedness and investment strategies," Resources Policy, Elsevier, vol. 78(C).
    4. Kuang, Wei, 2023. "The equity-oil hedge: A comparison between volatility and alternative risk frameworks," Energy, Elsevier, vol. 271(C).
    5. Kamal, Javed Bin & Wohar, Mark & Kamal, Khaled Bin, 2022. "Do gold, oil, equities, and currencies hedge economic policy uncertainty and geopolitical risks during covid crisis?," Resources Policy, Elsevier, vol. 78(C).
    6. Zhu, Huiming & Huang, Xi & Ye, Fangyu & Li, Shuang, 2024. "Frequency spillover effects and cross-quantile dependence between crude oil and stock markets: Evidence from BRICS and G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    7. Mensi, Walid & Hammoudeh, Shawkat & Vinh Vo, Xuan & Hoon Kang, Sang, 2021. "Volatility spillovers between oil and equity markets and portfolio risk implications in the US and vulnerable EU countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    8. Yin, Libo & Cao, Hong, 2024. "The propagation effect of climate risks on global stock markets: Evidence from the time and space domains," Energy Economics, Elsevier, vol. 132(C).
    9. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 397-419.
    10. Lee, Chien-Chiang & Zhou, Hegang & Xu, Chao & Zhang, Xiaoming, 2023. "Dynamic spillover effects among international crude oil markets from the time-frequency perspective," Resources Policy, Elsevier, vol. 80(C).
    11. Liao, Jianhui & Zhu, Xuehong & Chen, Jinyu, 2021. "Dynamic spillovers across oil, gold and stock markets in the presence of major public health emergencies," International Review of Financial Analysis, Elsevier, vol. 77(C).
    12. Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
    13. Spyros Papathanasiou & Dimitris Kenourgios & Drosos Koutsokostas & Georgios Pergeris, 2023. "Can treasury inflation-protected securities safeguard investors from outward risk spillovers? A portfolio hedging strategy through the prism of COVID-19," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 198-211, May.
    14. Wei, Yu & Wang, Yizhi & Vigne, Samuel A. & Ma, Zhenyu, 2023. "Alarming contagion effects: The dangerous ripple effect of extreme price spillovers across crude oil, carbon emission allowance, and agriculture futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    15. Choi, Sun-Yong, 2022. "Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    16. Sun, Yiguo & Li, Delong & Suo, Chenyi & Wang, Yu, 2023. "A threshold effect of COVID-19 risk on oil price returns," Energy Economics, Elsevier, vol. 120(C).
    17. Mariana Hatmanu & Cristina Cautisanu, 2021. "The Impact of COVID-19 Pandemic on Stock Market: Evidence from Romania," IJERPH, MDPI, vol. 18(17), pages 1-22, September.
    18. Sarit Maitra & Vivek Mishra & Sukanya Kundu & Manav Chopra, 2023. "Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns," Papers 2309.13096, arXiv.org, revised Oct 2023.
    19. Yihong Ma, Simon Cottrell, Sarath Delpachitra, Xiao Yu, Ping Jiang, and Quan Tran Ha Minh, 2023. "What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    20. Hu, Zinan & Borjigin, Sumuya, 2024. "The amplifying role of geopolitical Risks, economic policy Uncertainty, and climate risks on Energy-Stock market volatility spillover across economic cycles," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    21. Chatziantoniou, Ioannis & Gabauer, David & Perez de Gracia, Fernando, 2022. "Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 111(C).
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    81. Richard Mawulawoea Ahadzie & Dan Daugaard & Moses Kangogo & Faisal Khan & Joaquin Vespignani, 2023. "COVID-19, Mobility Restriction Policies and Stock Market Volatility: A Cross-Country Empirical Study," CAMA Working Papers 2023-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    82. Chen, Bin-xia & Sun, Yan-lin, 2023. "Extreme risk contagion between international crude oil and China's energy-intensive sectors: New evidence from quantile Granger causality and spillover methods," Energy, Elsevier, vol. 285(C).
    83. Ene Giorgiana-Roxana, 2024. "The Impact of Multiple Crises on the Economy. A Comparative Analysis of GFC, COVID-19 and the Ukraine War Period," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 3143-3166.
    84. Zheng Shi & Dongmin Kong, 2021. "Oil Price-Stock Market Nexus During the COVID-19 Pandemic - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(4), pages 1-4.
    85. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    86. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 271-283.
    87. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    88. Rakesh Shahani & Riya Paliwal, 2023. "An empirical investigation of the impact of spillover dynamics from crude to NSE Nifty Index during and prior to the COVID-19 pandemic period," SN Business & Economics, Springer, vol. 3(8), pages 1-21, August.
    89. Sisa Shiba & Goodness C. Aye & Rangan Gupta & Samrat Goswami, 2022. "Forecastability of Agricultural Commodity Futures Realised Volatility with Daily Infectious Disease-Related Uncertainty," Working Papers 202249, University of Pretoria, Department of Economics.
    90. Arhan Sheth & Tulasi Sushra & Ameya Kshirsagar & Manan Shah, 2022. "Global Economic Impact in Stock and Commodity Markets during Covid-19 pandemic," Annals of Data Science, Springer, vol. 9(5), pages 889-907, October.
    91. Peng, Lijuan & Liang, Chao, 2023. "Sustainable development during the post-COVID-19 period: Role of crude oil," Resources Policy, Elsevier, vol. 85(PA).
    92. Niu, Zibo & Liu, Yuanyuan & Gao, Wang & Zhang, Hongwei, 2021. "The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China," Resources Policy, Elsevier, vol. 73(C).
    93. Chai, Li & Wang, Yuqi & Qi, Xiaohong, 2024. "Cross-category connectedness between Shanghai crude oil futures and Chinese stock markets related to the Belt and Road Initiative," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    94. Al-Fayoumi, Nedal & Bouri, Elie & Abuzayed, Bana, 2023. "Decomposed oil price shocks and GCC stock market sector returns and volatility," Energy Economics, Elsevier, vol. 126(C).
    95. Naeem, Muhammad Abubakr & Chatziantoniou, Ioannis & Gabauer, David & Karim, Sitara, 2024. "Measuring the G20 stock market return transmission mechanism: Evidence from the R2 connectedness approach," International Review of Financial Analysis, Elsevier, vol. 91(C).
    96. Akyildirim, Erdinc & Cepni, Oguzhan & Molnár, Peter & Uddin, Gazi Salah, 2022. "Connectedness of energy markets around the world during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 109(C).
    97. Chen, Ruoyu & Iqbal, Najaf & Irfan, Muhammad & Shahzad, Farrukh & Fareed, Zeeshan, 2022. "Does financial stress wreak havoc on banking, insurance, oil, and gold markets? New empirics from the extended joint connectedness of TVP-VAR model," Resources Policy, Elsevier, vol. 77(C).
    98. Zhu, Qi & Jin, Sisi & Huang, Yuxuan & Yan, Cheng & Chen, Chuanglian, 2022. "Oil price uncertainty and stock price informativeness: Evidence from investment-price sensitivity in China," International Review of Financial Analysis, Elsevier, vol. 84(C).
    99. Espinosa-Paredes, G. & Rodriguez, E. & Alvarez-Ramirez, J., 2022. "A singular value decomposition entropy approach to assess the impact of Covid-19 on the informational efficiency of the WTI crude oil market," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    100. Apostolos G. Christopoulos & Petros Kalantonis & Ioannis Katsampoxakis & Konstantinos Vergos, 2021. "COVID-19 and the Energy Price Volatility," Energies, MDPI, vol. 14(20), pages 1-15, October.
    101. Liu, Xiaojun & Wang, Yunyuan & Du, Wanying & Ma, Yong, 2022. "Economic policy uncertainty, oil price volatility and stock market returns: Evidence from a nonlinear model," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
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    103. Di, Michael & Xu, Ke, 2022. "COVID-19 vaccine and post-pandemic recovery: Evidence from Bitcoin cross-asset implied volatility spillover," Finance Research Letters, Elsevier, vol. 50(C).
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    106. Ma, Rui & Xie, Xiao qin & Liu, Bin & Zhou, Fengjiao & Samsurijan, Mohamad Shaharudin bin, 2023. "Transmission to green economic development and the dependence on natural resources in China," Resources Policy, Elsevier, vol. 86(PB).
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  14. Yang, Lu & Hamori, Shigeyuki, 2021. "Systemic risk and economic policy uncertainty: International evidence from the crude oil market," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 142-158.

    Cited by:

    1. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
    2. Zhang, Yunhan & Ji, Qiang & Zhang, Dayong & Guo, Kun, 2024. "How does Shanghai crude oil futures affect top global oil companies: The role of multi-uncertainties," Energy Economics, Elsevier, vol. 131(C).
    3. Alola, Andrew Adewale & Özkan, Oktay & Obekpa, Hephzibah Onyeje, 2023. "Examining the patterns of disaggregate energy security risk and crude oil price: the USA scenario over 1970–2040," Resources Policy, Elsevier, vol. 82(C).
    4. Huszár, Zsuzsa R. & Kotró, Balázs B. & Tan, Ruth S.K., 2023. "Dynamic volatility transfer in the European oil and gas industry," Energy Economics, Elsevier, vol. 127(PA).
    5. Long, Shaobo & Zhang, Rui & Hao, Jing, 2022. "Asymmetric impact of Sino-US interest rate differentials and economic policy uncertainty ratio on RMB exchange rate," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    6. Xiang, Youtao & Borjigin, Sumuya, 2024. "Investment network and stock’s systemic risk contribution: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 113-132.
    7. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    8. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    9. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
    10. Yanping Liu & Bo Yan, 2024. "Spillover effects of carbon, energy, and stock markets considering economic policy uncertainty," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(3), pages 563-591, September.
    11. Chen, Zhenlong & Zheng, Changmei & Hao, Xiaozhen, 2022. "Volatility spillover effect between internet finance and banks," Journal of Business Research, Elsevier, vol. 141(C), pages 512-519.
    12. Salisu, Afees A. & Adediran, Idris & Omoke, Philip C. & Tchankam, Jean Paul, 2023. "Gold and tail risks," Resources Policy, Elsevier, vol. 80(C).
    13. Ren, Yinghua & Tan, Anqi & Zhu, Huiming & Zhao, Wanru, 2022. "Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    14. Yang, Lu & Hamori, Shigeyuki, 2023. "Modeling the global sovereign credit network under climate change," International Review of Financial Analysis, Elsevier, vol. 87(C).

  15. Chen, Wang & Zhang, Zhiwen & Hamori, Shigeyuki & Kinkyo, Takuji, 2021. "Not all bank systemic risks are alike: Deposit insurance and bank risk revisited," International Review of Financial Analysis, Elsevier, vol. 77(C).

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    1. Ernaningsih, Indria & Smaoui, Houcem & Ben Salah, Ines, 2024. "Competition, regulation, and systemic risk in dual banking systems," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1087-1103.
    2. Yunying Huang & Kenichiro Soyano, 2022. "Which Component of Deposit Drives Systemic Risk Volatility," Economic Analysis Letters, Anser Press, vol. 1(1), pages 1-7, September.

  16. Yang, Lu & Hamori, Shigeyuki, 2021. "The role of the carbon market in relation to the cryptocurrency market: Only diversification or more?," International Review of Financial Analysis, Elsevier, vol. 77(C).

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    1. Ali, Fahad & Khurram, Muhammad Usman & Sensoy, Ahmet & Vo, Xuan Vinh, 2024. "Green cryptocurrencies and portfolio diversification in the era of greener paths," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    2. Pham, Linh & Huynh, Toan Luu Duc & Hanif, Waqas, 2023. "Time-varying asymmetric spillovers among cryptocurrency, green and fossil-fuel investments," Global Finance Journal, Elsevier, vol. 58(C).
    3. Valadkhani, Abbas, 2023. "Asymmetric downside risk across different sectors of the US equity market," Global Finance Journal, Elsevier, vol. 57(C).
    4. Qin, Meng & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "Blockchain: A carbon-neutral facilitator or an environmental destroyer?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 604-615.
    5. Shiyi Wu & Rui Niu, 2024. "Development of carbon finance in China based on the hybrid MCDM method," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    6. Podhorsky, Andrea, 2023. "Taxing bitcoin: Incentivizing the difficulty adjustment mechanism to reduce electricity usage," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. Liu, Jiatong & Zhu, You & Wang, Gang-Jin & Xie, Chi & Wang, Qilin, 2024. "Risk contagion of NFT: A time-frequency risk spillover perspective in the Carbon-NFT-Stock system," Finance Research Letters, Elsevier, vol. 59(C).
    8. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    9. Zhu, Pengfei & Lu, Tuantuan & Shang, Yue & Zhang, Zerong & Wei, Yu, 2023. "Can China's national carbon trading market hedge the risks of light and medium crude oil? A comparative analysis with the European carbon market," Finance Research Letters, Elsevier, vol. 58(PA).
    10. Daniel Guterding, 2023. "Sparse Modeling Approach to the Arbitrage-Free Interpolation of Plain-Vanilla Option Prices and Implied Volatilities," Risks, MDPI, vol. 11(5), pages 1-24, April.
    11. Liu, Jiatong, 2023. "Time-frequency correlations and extreme spillover effects between carbon markets and NFTs: The roles of EPU and COVID-19," Finance Research Letters, Elsevier, vol. 54(C).
    12. Pagnottoni, Paolo, 2023. "Superhighways and roads of multivariate time series shock transmission: Application to cryptocurrency, carbon emission and energy prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    13. Osman, Myriam Ben & Galariotis, Emilios & Guesmi, Khaled & Hamdi, Haykel & Naoui, Kamel, 2023. "Diversification in financial and crypto markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
    14. Wei Jiang & Yanyu Zhang, 2023. "Carbon assets and Bitcoin: Hedging roles in global stock markets during the tranquil and turbulent periods?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1183-1203, September.
    15. Chen, Huayi & Shi, Huai-Long & Zhou, Wei-Xing, 2024. "Carbon volatility connectedness and the role of external uncertainties: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 33(C).
    16. Abakah, Emmanuel Joel Aikins & Wali Ullah, GM & Adekoya, Oluwasegun B. & Osei Bonsu, Christiana & Abdullah, Mohammad, 2023. "Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 218-243.
    17. Lee, Chi-Chuan & Yu, Chin-Hsien & Zhang, Jian, 2023. "Heterogeneous dependence among cryptocurrency, green bonds, and sustainable equity: New insights from Granger-causality in quantiles analysis," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 99-109.
    18. Ye, Wang & Wong, Wing-Keung & Arnone, Gioia & Nassani, Abdelmohsen A. & Haffar, Mohamed & Faiz, Muhammad Fauzinudin, 2023. "Crypto currency and green investment impact on global environment: A time series analysis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 155-169.
    19. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    20. Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023. "Unveiling the diversification capabilities of carbon markets in NFT portfolios," Finance Research Letters, Elsevier, vol. 58(PD).
    21. Chi-Wei Su & Yuru Song & Hsu-Ling Chang & Weike Zhang & Meng Qin, 2023. "Could Cryptocurrency Policy Uncertainty Facilitate U.S. Carbon Neutrality?," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    22. Pham, Linh & Karim, Sitara & Naeem, Muhammad Abubakr & Long, Cheng, 2022. "A tale of two tails among carbon prices, green and non-green cryptocurrencies," International Review of Financial Analysis, Elsevier, vol. 82(C).
    23. Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023. "Stablecoins as a tool to mitigate the downside risk of cryptocurrency portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    24. Beibei Hu & Yunhe Cheng, 2023. "Prediction of Regional Carbon Price in China Based on Secondary Decomposition and Nonlinear Error Correction," Energies, MDPI, vol. 16(11), pages 1-22, May.
    25. Ren, Yi-Shuai & Ma, Chao-Qun & Chen, Xun-Qi & Lei, Yu-Tian & Wang, Yi-Ran, 2023. "Sustainable finance and blockchain: A systematic review and research agenda," Research in International Business and Finance, Elsevier, vol. 64(C).

  17. Rio Murata & Shigeyuki Hamori, 2021. "ESG Disclosures and Stock Price Crash Risk," JRFM, MDPI, vol. 14(2), pages 1-20, February.

    Cited by:

    1. Zhang, Fan & Lai, Xiaobing & Guo, Chong, 2024. "ESG disclosure and investment-financing maturity mismatch: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PA).
    2. Liu, Lian & Nemoto, Naoko & Lu, Changrong, 2023. "The Effect of ESG performance on the stock market during the COVID-19 Pandemic — Evidence from Japan," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 702-712.
    3. Lai, Xiaobing & Zhang, Fan, 2022. "Can ESG certification help company get out of over-indebtedness? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    4. Hanan Amin Barakat & Nadine Hossam & Nour Tarek & Sara Mohamed & Jana Emad, 2024. "The Impact of Sustainable Investing on Financial Performance," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 16(7), pages 1-86, July.
    5. Wenbing Luo & Ziyan Tian & Xusheng Fang & Mingjun Deng, 2024. "Can good ESG performance reduce stock price crash risk? Evidence from Chinese listed companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 1469-1492, May.
    6. Hiroaki Kambe & Masatoshi Tamamura, 2022. "Effects of firm-level ESG performance on creditworthiness in Japanese listed companies," International Journal of Economic Policy Studies, Springer, vol. 16(2), pages 465-489, August.
    7. Cao Thi Mien Thuy & Trinh Quoc Trung & Nguyen Vinh Khuong & Nguyen Thanh Liem, 2021. "From Corporate Social Responsibility to Stock Price Crash Risk: Modelling the Mediating Role of Firm Performance in an Emerging Market," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    8. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    9. Danni Yu & Tiantian Meng & Minyu Zheng & Rongyi Ma, 2024. "ESG uncertainty, investor attention and stock price crash risk in China: evidence from PVAR model analysis," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    10. Miriam Sosa & Edgar Ortiz & Alejandra Cabello, 2022. "ESG Green Equity Finance Risk and Links in Mexico: Conditional Volatility and Markov Switching Vector Analyses," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(4), pages 1-21, Octubre -.

  18. Xu, Lei. & Hamori, Shigeyuki & Kinkyo, Takuji, 2021. "Continuous wavelet analysis of Chinese renminbi: Co-movement and lead-lag relationship between onshore and offshore exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).

    Cited by:

    1. Hu, Genhua & Wang, Xiangjin & Qiu, Hong, 2023. "Analyzing a dynamic relation between RMB exchange rate onshore and offshore during the extreme market conditions," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 408-417.
    2. Liang Wang & Xianyan Xiong & Ziqiu Cao, 2023. "Time-frequency volatility spillovers between Chinese renminbi onshore and offshore markets during the COVID-19 crisis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    3. Tian, Shuairu & Gao, Xiang & Cai, Xiaojing, 2023. "The interactive CNY-CNH relationship: A wavelet analysis," Journal of International Money and Finance, Elsevier, vol. 133(C).
    4. Zhu, Huimin & Xiao, Xinping & Kang, Yuxiao & Kong, Dekai, 2022. "Lead-lag grey forecasting model in the new community group buying retailing," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    5. Ur Rehman, Mobeen & Al Rababa'a, Abdel Razzaq & El-Nader, Ghaith & Alkhataybeh, Ahmad & Vo, Xuan Vinh, 2022. "Modelling the quantile cross-coherence between exchange rates: Does the COVID-19 pandemic change the interlinkage structure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).

  19. Guizhou Liu & Shigeyuki Hamori, 2020. "Can One Reinforce Investments in Renewable Energy Stock Indices with the ESG Index?," Energies, MDPI, vol. 13(5), pages 1-19, March.

    Cited by:

    1. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    2. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    3. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    4. Dumiter Florin Cornel & Turcaș Florin Marius & Boiţă Marius, 2023. "Oil Shock Impact Upon Energy Companies Investment Portfolios. Trends and Evolutions in the Energy Consumption Sector," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(1), pages 1-27, March.
    5. Jekaterina Kuzmina & Dzintra Atstaja & Maris Purvins & Guram Baakashvili & Vakhtang Chkareuli, 2023. "In Search of Sustainability and Financial Returns: The Case of ESG Energy Funds," Sustainability, MDPI, vol. 15(3), pages 1-16, February.
    6. Zoltán Csedő & József Magyari & Máté Zavarkó, 2022. "Dynamic Corporate Governance, Innovation, and Sustainability: Post-COVID Period," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    7. Mantas Svazas & Yuriy Bilan & Valentinas Navickas & Małgorzata Okręglicka, 2023. "Energy Transformation in Municipal Areas—Key Datasets and Their Influence on Process Evaluation," Energies, MDPI, vol. 16(17), pages 1-20, August.
    8. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).

  20. Yijin He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Can Brics’S Currency Be A Hedge Or A Safe Haven For Energy Portfolio? An Evidence From Vine Copula Approach," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(04), pages 805-836, June.

    Cited by:

    1. Dejan Živkov & Boris Kuzman & Jonel Subić, 2022. "Measuring the risk-adjusted performance of selected soft agricultural commodities," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(3), pages 87-96.
    2. Jin Shang & Shigeyuki Hamori, 2023. "Differential Tail Dependence between Crude Oil and Forex Markets in Oil-Importing and Oil-Exporting Countries during Recent Crisis Periods," Sustainability, MDPI, vol. 15(19), pages 1-24, October.

  21. Youngho Chang & Zheng Fang & Shigeyuki Hamori, 2020. "Human Capital And Energy: A Driver Or Drag For Economic Growth," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(03), pages 683-714, June.

    Cited by:

    1. Shahbaz, Muhammad & Song, Malin & Ahmad, Shabbir & Vo, Xuan Vinh, 2021. "Does Economic Growth Stimulate Energy Consumption? The Role of Human Capital and R&D Expenditures in China," MPRA Paper 110352, University Library of Munich, Germany, revised 22 Oct 2021.
    2. Zheng Fang & Jiang Yu, 2020. "The role of human capital in energy-growth nexus: an international evidence," Empirical Economics, Springer, vol. 58(3), pages 1225-1247, March.

  22. Wang Chen & Shigeyuki Hamori & Takuji Kinkyo, 2020. "Dynamic effects of financial spillovers on bank lending: evidence from local projection-based impulse response analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 27(5), pages 400-405, March.

    Cited by:

    1. Nguyen, Dinh Trung & Duong, Kim Thanh, 2024. "Financial stress and shadow economy: A global study from a new worldwide database," Finance Research Letters, Elsevier, vol. 60(C).
    2. Helmut Franken & Alejandro Jara, 2023. "Monetary Policy Tightening and Bank Lending Standards: Evidence from the Chilean Bank Loan Survey," Working Papers Central Bank of Chile 996, Central Bank of Chile.

  23. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.

    Cited by:

    1. Galán-Gutiérrez, Juan Antonio & Labeaga, José M. & Martín-García, Rodrigo, 2023. "Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle," Resources Policy, Elsevier, vol. 81(C).
    2. Rubbaniy, Ghulame & Khalid, Ali Awais & Syriopoulos, Konstantinos & Samitas, Aristeidis, 2022. "Safe-haven properties of soft commodities during times of Covid-19," Journal of Commodity Markets, Elsevier, vol. 27(C).
    3. Muhammad Azmat Hayat & Huma Ghulam & Maryam Batool & Muhammad Zahid Naeem & Abdullah Ejaz & Cristi Spulbar & Ramona Birau, 2021. "Investigating the Causal Linkages among Inflation, Interest Rate, and Economic Growth in Pakistan under the Influence of COVID-19 Pandemic: A Wavelet Transformation Approach," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    4. Yıldırım, Durmuş Çağrı & Cevik, Emrah Ismail & Esen, Ömer, 2020. "Time-varying volatility spillovers between oil prices and precious metal prices," Resources Policy, Elsevier, vol. 68(C).
    5. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2021. "How do Artificial Intelligence and Robotics Stocks co-move with traditional and alternative assets in the age of the 4th industrial revolution? Implications and Insights for the COVID-19 period," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Naqvi, Bushra & Rizvi, Syed Kumail Abbas & Hasnaoui, Amir & Shao, Xuefeng, 2022. "Going beyond sustainability: The diversification benefits of green energy financial products," Energy Economics, Elsevier, vol. 111(C).
    7. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    8. Živkov, Dejan & Manić, Slavica & Gajić-Glamočlija, Marina, 2024. "How do precious and industrial metals hedge oil in a multi-frequency semiparametric CVaR portfolio?," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    9. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2022. "Spillover effects between commodity and stock markets: A SDSES approach," Resources Policy, Elsevier, vol. 79(C).
    10. Gagnon, Marie-Hélène & Manseau, Guillaume & Power, Gabriel J., 2020. "They're back! Post-financialization diversification benefits of commodities," International Review of Financial Analysis, Elsevier, vol. 71(C).
    11. Ngo Thai Hung, 2022. "Time–frequency nexus between globalization, financial development, natural resources and carbon emissions in Vietnam," Economic Change and Restructuring, Springer, vol. 55(4), pages 2293-2315, November.

  24. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.

    Cited by:

    1. Chen, Guifu & Hamori, Shigeyuki, 2009. "Energy prices and China’s international competitiveness," MPRA Paper 18827, University Library of Munich, Germany.
    2. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2016. "The Chinese Stock Market Does not React to the Japanese Market: Using Intraday Data to Analyse Return and Volatility Spillover Effects," The Japanese Economic Review, Springer, vol. 67(3), pages 280-294, September.
    3. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2012. "Return and Volatility Spillovers between Japanese and Chinese Stock Markets FAn Analysis of Overlapping Trading Hours with High-frequency Data," Discussion Papers in Economics and Business 12-01, Osaka University, Graduate School of Economics.
    4. Yutaka Kurihara, 2016. "Deterministic Elements of Japanese Stock Prices under Low Interest Rates," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(2), pages 24-30, April.
    5. Javed Pervaiz & Teng Jian-Zhou & Junaid Masih, 2018. "Long Run Relationship between Selected Macroeconomic Indicators and Banking Sector in Pakistan," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(2), pages 67-81, February.
    6. Yuki Toyoshima & Shigeyuki Hamori, 2012. "Volatility transmission of swap spreads among the US, Japan and the UK: a cross-correlation function approach," Applied Financial Economics, Taylor & Francis Journals, vol. 22(11), pages 849-862, June.
    7. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.

  25. Yang, Lu & Yang, Lei & Ho, Kung-Cheng & Hamori, Shigeyuki, 2020. "Dependence structures and risk spillover in China’s credit bond market: A copula and CoVaR approach," Journal of Asian Economics, Elsevier, vol. 68(C).

    Cited by:

    1. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
    2. Ibhagui, Oyakhilome, 2021. "How do sovereign risk, equity and foreign exchange derivatives markets interact?," Economic Modelling, Elsevier, vol. 97(C), pages 58-78.
    3. Yang, Jizhe & Jiang, Tingfeng & Wen, Xingchun & Dai, Lu, 2024. "Time-varying and spillover effects of the macroeconomy on nonfinancial corporate financialization: Evidence from China," Journal of Asian Economics, Elsevier, vol. 90(C).
    4. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    5. Lu Yang & Shigeyuki Hamori, 2020. "Forecasts of Value-at-Risk and Expected Shortfall in the Crude Oil Market: A Wavelet-Based Semiparametric Approach," Energies, MDPI, vol. 13(14), pages 1-27, July.
    6. Yunsong Xu & Hanying Qi & Jiaqi Li & Ning Ding, 2021. "The Risk Spillover Effects of the Real Estate Industry on the Financial Industry: A GARCH-Time-Varying-Copula-CoVaR Approach on China," SAGE Open, , vol. 11(4), pages 21582440211, December.
    7. Yao, Can-Zhong & Li, Min-Jian, 2023. "GARCH-MIDAS-GAS-copula model for CoVaR and risk spillover in stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    8. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    9. Zhu, Pengfei & Tang, Yong & Wei, Yu & Lu, Tuantuan, 2021. "Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic," Energy, Elsevier, vol. 231(C).
    10. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    11. Jieqiong Wang & Shichao Hu & Ziyi Zhang, 2023. "Does Environmental Regulation Promote Eco-Innovation Performance of Manufacturing Firms?—Empirical Evidence from China," Energies, MDPI, vol. 16(6), pages 1-18, March.
    12. Tonmoy Choudhury & Simone Scagnelli & Jaime Yong & Zhaoyong Zhang, 2021. "Non-Traditional Systemic Risk Contagion within the Chinese Banking Industry," Sustainability, MDPI, vol. 13(14), pages 1-16, July.

  26. Xiaojing Cai & Shigeyuki Hamori & Lu Yang & Shuairu Tian, 2020. "Multi-Horizon Dependence between Crude Oil and East Asian Stock Markets and Implications in Risk Management," Energies, MDPI, vol. 13(2), pages 1-24, January.

    Cited by:

    1. Muhammad Hanif, 2020. "Relationship between Oil and Stock Markets: Evidence from Pakistan Stock Exchange," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 150-157.
    2. Alao, Rasheed O. & Payaslioglu, Cem, 2021. "Oil price uncertainty and industrial production in oil-exporting countries," Resources Policy, Elsevier, vol. 70(C).
    3. Ngo Thai Hung & Xuan Vinh Vo, 2023. "Multi-scale Features of Interdependence Between Oil Prices and Stock Prices," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 475-504, September.
    4. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Zhu, Huiming & Yu, Dongwei & Hau, Liya & Wu, Hao & Ye, Fangyu, 2022. "Time-frequency effect of crude oil and exchange rates on stock markets in BRICS countries: Evidence from wavelet quantile regression analysis," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    6. Rasheed O. Alao & Abdulkareem Alhassan & Saheed Alao & Ifedolapo O. Olanipekun & Godwin O. Olasehinde-Williams & Ojonugwa Usman, 2023. "Symmetric and asymmetric GARCH estimations of the impact of oil price uncertainty on output growth: evidence from the G7," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-14, December.
    7. Ngo Thai HUNG, 2020. "Conditional dependence between oil prices and CEE stock markets: a copula-GARCH approach Abstract: This study investigates both the constant and time-varying conditional dependency between crude oil a," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 62-86, June.
    8. Jieqiong Wang & Shichao Hu & Ziyi Zhang, 2023. "Does Environmental Regulation Promote Eco-Innovation Performance of Manufacturing Firms?—Empirical Evidence from China," Energies, MDPI, vol. 16(6), pages 1-18, March.

  27. Hamori, Shigeyuki & Motegi, Kaiji & Zhang, Zheng, 2020. "Copula-based regression models with data missing at random," Journal of Multivariate Analysis, Elsevier, vol. 180(C).

    Cited by:

    1. Boulin, Alexis & Di Bernardino, Elena & Laloë, Thomas & Toulemonde, Gwladys, 2022. "Non-parametric estimator of a multivariate madogram for missing-data and extreme value framework," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    2. Nsikak Mitchel Offiong & Fayyaz Ali Memon & Yulei Wu, 2023. "Time Series Data Preparation for Failure Prediction in Smart Water Taps (SWT)," Sustainability, MDPI, vol. 15(7), pages 1-15, March.

  28. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

    Cited by:

    1. Zhang, Li & Wang, Lu & Wang, Xunxiao & Zhang, Yaojie & Pan, Zhigang, 2022. "How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method," Resources Policy, Elsevier, vol. 77(C).
    2. Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
    3. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    4. Zhang, Yulian & Hamori, Shigeyuki, 2022. "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 182-203.
    5. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.
    6. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    7. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    8. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).

  29. Jin Shang & Shigeyuki Hamori, 2020. "The Response of US Macroeconomic Aggregates to Price Shocks in Crude Oil vs. Natural Gas," Energies, MDPI, vol. 13(10), pages 1-17, May.

    Cited by:

    1. Zhaoyong Sun & Xinyu Cai & Wei-Chiao Huang, 2022. "The Impact of Oil Price Fluctuations on Consumption, Output, and Investment in China’s Industrial Sectors," Energies, MDPI, vol. 15(9), pages 1-19, May.
    2. Olusola Joshua Olujobi & Elizabeta Smaranda Olarinde & Tunde Ebenezer Yebisi & Uchechukwu Emena Okorie, 2022. "COVID-19 Pandemic: The Impacts of Crude Oil Price Shock on Nigeria’s Economy, Legal and Policy Options," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    3. Ganepola, Chanaka N. & Shubita, Moade & Lee, Lillian, 2023. "The electric shock: Causes and consequences of electricity prices in the United Kingdom," Energy Economics, Elsevier, vol. 126(C).

  30. Yuchen Zhang & Shigeyuki Hamori, 2020. "The Predictability of the Exchange Rate When Combining Machine Learning and Fundamental Models," JRFM, MDPI, vol. 13(3), pages 1-16, March.

    Cited by:

    1. Zhaoyi Xu & Yuqing Zeng & Yangrong Xue & Shenggang Yang, 2022. "Early Warning of Chinese Yuan’s Exchange Rate Fluctuation and Value at Risk Measure Using Neural Network Joint Optimization Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1293-1315, December.
    2. Joseph Agyapong, 2021. "Application of Taylor Rule Fundamentals in Forecasting Exchange Rates," Economies, MDPI, vol. 9(2), pages 1-27, June.
    3. Jiayang Yu & Kuo-Chu Chang, 2020. "Neural Network Predictive Modeling on Dynamic Portfolio Management—A Simulation-Based Portfolio Optimization Approach," JRFM, MDPI, vol. 13(11), pages 1-23, November.
    4. de Souza Vasconcelos, Camila & Hadad Júnior, Eli, 2023. "Forecasting exchange rate: A bibliometric and content analysis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 607-628.
    5. Guan, Keqin & Gong, Xu, 2023. "A new hybrid deep learning model for monthly oil prices forecasting," Energy Economics, Elsevier, vol. 128(C).
    6. Mei-Li Shen & Cheng-Feng Lee & Hsiou-Hsiang Liu & Po-Yin Chang & Cheng-Hong Yang, 2021. "An Effective Hybrid Approach for Forecasting Currency Exchange Rates," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    7. Thomas E. Koker & Dimitrios Koutmos, 2020. "Cryptocurrency Trading Using Machine Learning," JRFM, MDPI, vol. 13(8), pages 1-7, August.

  31. Kaiji Motegi & Xiaojing Cai & Shigeyuki Hamori & Haifeng Xu, 2020. "Moving average threshold heterogeneous autoregressive (MAT‐HAR) models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1035-1042, November.

    Cited by:

    1. Ridha Nouira & Sami Saafi, 2022. "What Drives the Relationship Between Export Upgrading and Growth? The Role of Human Capital, Institutional Quality, and Economic Development," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 1944-1961, September.
    2. Bucci, Andrea & Sanmarchi, Francesco & Santi, Luca & Golinelli, Davide, 2024. "Evaluating the nonlinear association between PM10 and emergency department visits," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).

  32. Tiantian Liu & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Influence of Fluctuations in Fossil Fuel Commodities on Electricity Markets: Evidence from Spot and Futures Markets in Europe," Energies, MDPI, vol. 13(8), pages 1-20, April.

    Cited by:

    1. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    2. Guannan Wang & Juan Meng & Bin Mo, 2023. "Dynamic Volatility Spillover Effects and Portfolio Strategies among Crude Oil, Gold, and Chinese Electricity Companies," Mathematics, MDPI, vol. 11(4), pages 1-25, February.
    3. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    4. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.
    5. Coskun, Merve & Taspinar, Nigar, 2022. "Volatility spillovers between Turkish energy stocks and fossil fuel energy commodities based on time and frequency domain approaches," Resources Policy, Elsevier, vol. 79(C).
    6. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    7. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    8. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    9. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, vol. 13(12), pages 1-28, June.

  33. Wenting Zhang & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "How Does the Spillover among Natural Gas, Crude Oil, and Electricity Utility Stocks Change over Time? Evidence from North America and Europe," Energies, MDPI, vol. 13(3), pages 1-26, February.

    Cited by:

    1. Tadahiro Nakajima & Yuki Toyoshima, 2020. "Examination of the Spillover Effects among Natural Gas and Wholesale Electricity Markets Using Their Futures with Different Maturities and Spot Prices," Energies, MDPI, vol. 13(7), pages 1-14, March.
    2. Guannan Wang & Juan Meng & Bin Mo, 2023. "Dynamic Volatility Spillover Effects and Portfolio Strategies among Crude Oil, Gold, and Chinese Electricity Companies," Mathematics, MDPI, vol. 11(4), pages 1-25, February.
    3. Ahmed A. Elamer & Bassam A. Elbialy & Kholoud A. Alsaab & Mohamed A. Khashan, 2022. "The Impact of COVID-19 on the Relationship between Non-Renewable Energy and Saudi Stock Market Sectors Using Wavelet Coherence Approach and Neural Networks," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    4. Bigerna, Simona & Bollino, Carlo Andrea & Polinori, Paolo, 2021. "Oil import portfolio risk and spillover volatility," Resources Policy, Elsevier, vol. 70(C).
    5. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Huszár, Zsuzsa R. & Kotró, Balázs B. & Tan, Ruth S.K., 2023. "Dynamic volatility transfer in the European oil and gas industry," Energy Economics, Elsevier, vol. 127(PA).
    7. Karkowska, Renata & Urjasz, Szczepan, 2021. "Connectedness structures of sovereign bond markets in Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    8. Coskun, Merve & Taspinar, Nigar, 2022. "Volatility spillovers between Turkish energy stocks and fossil fuel energy commodities based on time and frequency domain approaches," Resources Policy, Elsevier, vol. 79(C).
    9. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.
    10. Thobekile Qabhobho & Anokye M. Adam & Anthony Adu-Asare Idun & Emmanuel Asafo-Adjei & Ebenezer Boateng, 2023. "Exploring the Time-varying Connectedness and Contagion Effects among Exchange Rates of BRICS, Energy Commodities, and Volatilities," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 272-283, March.
    11. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    12. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).
    13. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    14. Abdou, Hussein A. & Elamer, Ahmed A. & Abedin, Mohammad Zoynul & Ibrahim, Bassam A., 2024. "The impact of oil and global markets on Saudi stock market predictability: A machine learning approach," Energy Economics, Elsevier, vol. 132(C).

  34. Xue-Feng Shao & Kostas Gouliamos & Ben Nan-Feng Luo & Shigeyuki Hamori & Stephen Satchell & Xiao-Guang Yue & Jane Qiu, 2020. "Diversification and Desynchronicity: An Organizational Portfolio Perspective on Corporate Risk Reduction," Risks, MDPI, vol. 8(2), pages 1-16, May.

    Cited by:

    1. Xiao-Guang Yue & Yan Han & Deimante Teresiene & Justina Merkyte & Wei Liu, 2020. "Sustainable Funds’ Performance Evaluation," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    2. Asad H. Aburumman, 2020. "The concept of global governance in tourism franchises: a case study of TUI group," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 1321-1339, December.
    3. Liu, Baoliu & Cifuentes-Faura, Javier & Ding, Chante Jian & Liu, Xiaoqian, 2023. "Toward carbon neutrality: How will environmental regulatory policies affect corporate green innovation?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1006-1020.
    4. Moses Waiganjo & Danijela Godinic & Bojan Obrenovic, 2021. "Strategic Planning and Sustainable Innovation During the COVID-19 Pandemic: A Literature Review," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 7(5), pages 52-59, December.
    5. Ruihui Pu & Deimante Teresiene & Ina Pieczulis & Jie Kong & Xiao-Guang Yue, 2021. "The Interaction between Banking Sector and Financial Technology Companies: Qualitative Assessment—A Case of Lithuania," Risks, MDPI, vol. 9(1), pages 1-22, January.

  35. Xie He & Tetsuya Takiguchi & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Spillover effects between energies, gold, and stock: the United States versus China," Energy & Environment, , vol. 31(8), pages 1416-1447, December.

    Cited by:

    1. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    2. Nicoleta BARBUTA-MISU & Teodor HADA & Iulia Cristina IUGA & Dorin WAINBERG, 2023. "Do Methane Gas Prices Interact with Stock Indices?," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 90-100.
    3. Elgammal, Mohammed M. & Ahmed, Walid M.A. & Alshami, Abdullah, 2021. "Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 74(C).
    4. Qi, Haozhi & Ma, Lijun & Peng, Pin & Chen, Hao & Li, Kang, 2022. "Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    5. Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Volatility spillovers between strategic commodity futures and stock markets and portfolio implications: Evidence from developed and emerging economies," Resources Policy, Elsevier, vol. 71(C).
    6. Wang, Zi-Xin & Liu, Bing-Yue & Fan, Ying, 2023. "Network connectedness between China's crude oil futures and sector stock indices," Energy Economics, Elsevier, vol. 125(C).
    7. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Dynamic frequency volatility spillovers and connectedness between strategic commodity and stock markets: US-based sectoral analysis," Resources Policy, Elsevier, vol. 79(C).
    8. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.
    9. Walid Mensi & Salem Adel Ziadat & Xuan Vinh Vo & Sang Hoon Kang, 2024. "Spillovers and Portfolio Management Between the Uncertainty Indices of Oil and Gold and G7 Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2233-2262, October.
    10. Cui, Jinxin & Goh, Mark & Zou, Huiwen, 2021. "Coherence, extreme risk spillovers, and dynamic linkages between oil and China’s commodity futures markets," Energy, Elsevier, vol. 225(C).
    11. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    12. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    13. Ioannis Katsampoxakis & Apostolos Christopoulos & Petros Kalantonis & Vasileios Nastas, 2022. "Crude Oil Price Shocks and European Stock Markets during the COVID-19 Period," Energies, MDPI, vol. 15(11), pages 1-14, June.
    14. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    15. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, vol. 13(12), pages 1-28, June.

  36. Guifu Chen & Shan Zhan & Shigeyuki Hamori, 2020. "The Influence of Quality and Variety of New Imports on Enterprise Innovation: Evidence from China," Sustainability, MDPI, vol. 12(22), pages 1-20, November.

    Cited by:

    1. Kexuan Zhou & Sanjay Kumar & Futao Lu & Qiaoyun Fang & Linhui Yu, 2022. "Has the Belt and Road Initiative Improved the Quality of Food Imported by Chinese Enterprises?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(2), pages 60-83, March.

  37. Yulian Zhang & Shigeyuki Hamori, 2020. "Forecasting Crude Oil Market Crashes Using Machine Learning Technologies," Energies, MDPI, vol. 13(10), pages 1-14, May.

    Cited by:

    1. S. Boubaker & Liu, Z. & Zhan, Y., 2021. "Risk management for crude oil futures: an optimal stopping-timing approach," Post-Print hal-03323674, HAL.
    2. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
    3. Lu, Xinjie & Ma, Feng & Xu, Jin & Zhang, Zehui, 2022. "Oil futures volatility predictability: New evidence based on machine learning models11All the authors contribute to the paper equally," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.

  38. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, vol. 13(12), pages 1-28, June.

    Cited by:

    1. Zhou, Wei & Chen, Yan & Chen, Jin, 2022. "Risk spread in multiple energy markets: Extreme volatility spillover network analysis before and during the COVID-19 pandemic," Energy, Elsevier, vol. 256(C).
    2. Zhang, Yingying & Xu, Shaojun, 2023. "Spillover connectedness between oil and China's industry stock markets: A perspective of carbon emissions," Finance Research Letters, Elsevier, vol. 54(C).
    3. Naeem, Muhammad Abubakr & Karim, Sitara & Tiwari, Aviral Kumar, 2022. "Quantifying systemic risk in US industries using neural network quantile regression," Research in International Business and Finance, Elsevier, vol. 61(C).
    4. Mukhriz Izraf Azman Aziz & Norzalina Ahmad & Jin Zichu & Safwan Mohd Nor, 2022. "The Impact of COVID-19 on the Connectedness of Stock Index in ASEAN+3 Economies," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    5. Caporale, Guglielmo Maria & Spagnolo, Nicola & Almajali, Awon, 2023. "Connectedness between fossil and renewable energy stock indices: The impact of the COP policies," Economic Modelling, Elsevier, vol. 123(C).
    6. Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
    7. K. Abhaya Kumar & Prakash Pinto & Iqbal Thonse Hawaldar & Saheem Shaikh & Shravan Bhagav & B. Padmanabha, 2022. "Investigating the Nexus between Crude Oil Price and Stock Prices of Oil Exploration Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 40-47, July.
    8. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    9. Puch, Luis A. & Ruiz, Jesús, 2023. "Energy News Shocks and their Propagation to Renewable and Fossil Fuels Use," UC3M Working papers. Economics 37355, Universidad Carlos III de Madrid. Departamento de Economía.
    10. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    11. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.
    12. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).
    13. Coskun, Merve & Taspinar, Nigar, 2022. "Volatility spillovers between Turkish energy stocks and fossil fuel energy commodities based on time and frequency domain approaches," Resources Policy, Elsevier, vol. 79(C).
    14. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    15. Dutta, Anupam & Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Impact of energy sector volatility on clean energy assets," Energy, Elsevier, vol. 212(C).
    16. Çelik, İsmail & Sak, Ahmet Furkan & Höl, Arife Özdemir & Vergili, Gizem, 2022. "The dynamic connectedness and hedging opportunities of implied and realized volatility: Evidence from clean energy ETFs," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    17. Ali, Shoaib & Naveed, Muhammad & Youssef, Manel & Yousaf, Imran, 2024. "FinTech-powered integration: Navigating the static and dynamic connectedness between GCC equity markets and renewable energy cryptocurrencies," Resources Policy, Elsevier, vol. 89(C).
    18. Cynthia Sari DEWI & Florentina KURNIASARI & Helena DEWI & Eko ENDARTO & Nurhuda NIZAR, 2021. "Return Spillover Between The U.S., Japanese, And Indonesian Stock Market During Covid-19," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(5), pages 196-207, October.
    19. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).
    20. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    21. Guglielmo Maria Caporale & Nicola Spagnolo & Awon Almajali, 2022. "Fossil and Renewable Energy Stock Indices: Connectedness and the COP Meetings," CESifo Working Paper Series 9824, CESifo.

  39. Lu Yang & Shigeyuki Hamori, 2020. "Forecasts of Value-at-Risk and Expected Shortfall in the Crude Oil Market: A Wavelet-Based Semiparametric Approach," Energies, MDPI, vol. 13(14), pages 1-27, July.

    Cited by:

    1. Alkathery, Mohammed A. & Chaudhuri, Kausik & Nasir, Muhammad Ali, 2022. "Implications of clean energy, oil and emissions pricing for the GCC energy sector stock," Energy Economics, Elsevier, vol. 112(C).
    2. Yanqiong Liu & Zhenghui Li & Yanyan Yao & Hao Dong, 2021. "Asymmetry of Risk Evolution in Crude Oil Market: From the Perspective of Dual Attributes of Oil," Energies, MDPI, vol. 14(13), pages 1-22, July.
    3. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    4. Michał Woźniak & Marcin Chlebus, 2021. "HCR & HCR-GARCH – novel statistical learning models for Value at Risk estimation," Working Papers 2021-10, Faculty of Economic Sciences, University of Warsaw.

  40. Wenting Zhang & Shigeyuki Hamori, 2020. "Do Machine Learning Techniques and Dynamic Methods Help Forecast US Natural Gas Crises?," Energies, MDPI, vol. 13(9), pages 1-22, May.

    Cited by:

    1. Dimitrios Mouchtaris & Emmanouil Sofianos & Periklis Gogas & Theophilos Papadimitriou, 2021. "Forecasting Natural Gas Spot Prices with Machine Learning," Energies, MDPI, vol. 14(18), pages 1-13, September.
    2. Liu, Han & Yang, Peng & He, Yongda & Oxley, Les & Guo, Pengwei, 2024. "Exploring the influence of the geopolitical risks on the natural resource price volatility and correlation: Evidence from DCC-MIDAS-X model," Energy Economics, Elsevier, vol. 129(C).
    3. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.

  41. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.

    Cited by:

    1. Vincenzo Candila & Denis Maximov & Alexey Mikhaylov & Nikita Moiseev & Tomonobu Senjyu & Nicole Tryndina, 2021. "On the Relationship between Oil and Exchange Rates of Oil-Exporting and Oil-Importing Countries: From the Great Recession Period to the COVID-19 Era," Energies, MDPI, vol. 14(23), pages 1-18, December.
    2. Wang, Xiong & Li, Jingyao & Ren, Xiaohang & Bu, Ruijun & Jawadi, Fredj, 2023. "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Energy Economics, Elsevier, vol. 117(C).
    3. Balli, Faruk & O Balli, Hatice & Nguyen, Thi Thu Ha, 2023. "Dynamic connectedness between crude oil and equity markets: What about the effects of firm's solvency and profitability positions?," Journal of Commodity Markets, Elsevier, vol. 31(C).
    4. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    5. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    6. Tao, Chen & Zhong, Guang-Yan & Li, Jiang-Cheng, 2023. "Dynamic correlation and risk resonance among industries of Chinese stock market: New evidence from time–frequency domain and complex network perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
    7. Li, Jiang-Cheng & Xu, Ming-Zhe & Han, Xu & Tao, Chen, 2022. "Dynamic risk resonance between crude oil and stock market by econophysics and machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    8. Jieqiong Wang & Shichao Hu & Ziyi Zhang, 2023. "Does Environmental Regulation Promote Eco-Innovation Performance of Manufacturing Firms?—Empirical Evidence from China," Energies, MDPI, vol. 16(6), pages 1-18, March.
    9. Liu, Min & Lee, Chien-Chiang, 2022. "Is gold a long-run hedge, diversifier, or safe haven for oil? Empirical evidence based on DCC-MIDAS," Resources Policy, Elsevier, vol. 76(C).
    10. Boubaker, Heni & Larbi, Ons Ben, 2022. "Dynamic dependence and hedging strategies in BRICS stock markets with oil during crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 263-279.

  42. Hamori, Shigeyuki & Motegi, Kaiji & Zhang, Zheng, 2019. "Calibration estimation of semiparametric copula models with data missing at random," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 85-109.

    Cited by:

    1. Hamori, Shigeyuki & Motegi, Kaiji & Zhang, Zheng, 2020. "Copula-based regression models with data missing at random," Journal of Multivariate Analysis, Elsevier, vol. 180(C).
    2. Jierui Du & Xia Cui, 2024. "Semiparametric estimation in generalized additive partial linear models with nonignorable nonresponse data," Statistical Papers, Springer, vol. 65(5), pages 3235-3259, July.
    3. Boulin, Alexis & Di Bernardino, Elena & Laloë, Thomas & Toulemonde, Gwladys, 2022. "Non-parametric estimator of a multivariate madogram for missing-data and extreme value framework," Journal of Multivariate Analysis, Elsevier, vol. 192(C).

  43. Yijin He & Shigeyuki Hamori, 2019. "Conditional Dependence between Oil Prices and Exchange Rates in BRICS Countries: An Application of the Copula-GARCH Model," JRFM, MDPI, vol. 12(2), pages 1-25, June.

    Cited by:

    1. Ngo Thai Hung, 2020. "Analysis of the Time-frequency Connectedness between Gold Prices, Oil Prices and Hungarian Financial Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 51-59.
    2. Ngo Thai HUNG, 2020. "Conditional dependence between oil prices and CEE stock markets: a copula-GARCH approach Abstract: This study investigates both the constant and time-varying conditional dependency between crude oil a," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 62-86, June.

  44. Koji Yasuda & Tomoko Kinugasa & Shigeyuki Hamori, 2019. "An Empirical Analysis Of Marital Status In Japan," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(03), pages 773-798, June.

    Cited by:

    1. Julen Esteban‐Pretel & Junichi Fujimoto, 2022. "How do marital formation and dissolution differ across employment statuses? Analysis of Japanese non‐regular employees," Pacific Economic Review, Wiley Blackwell, vol. 27(5), pages 425-461, December.

  45. Chen, Wang & Hamori, Shigeyuki & Kinkyo, Takuji, 2019. "Complexity of financial stress spillovers: Asymmetry and interaction effects of institutional quality and foreign bank ownership," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 567-581.

    Cited by:

    1. Kowalewski & Pawel Pisany, 2021. "Home–host distance in governance quality, foreign banks’ lending, and emerging host markets’ resilience," Working Papers 2021-ACF-08, IESEG School of Management.
    2. Altınkeski, Buket Kırcı & Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2022. "Financial stress transmission between the U.S. and the Euro Area," Journal of Financial Stability, Elsevier, vol. 60(C).

  46. Yijin He & Tadahiro Nakajima & Shigeyuki Hamori, 2019. "Connectedness Between Natural Gas Price and BRICS Exchange Rates: Evidence from Time and Frequency Domains," Energies, MDPI, vol. 12(20), pages 1-28, October.

    Cited by:

    1. Tadahiro Nakajima & Yuki Toyoshima, 2020. "Examination of the Spillover Effects among Natural Gas and Wholesale Electricity Markets Using Their Futures with Different Maturities and Spot Prices," Energies, MDPI, vol. 13(7), pages 1-14, March.
    2. Anna A. Gainetdinova, 2023. "Asymmetric Impact of Geopolitical Risk and Economic Policy Uncertainty on Russian Ruble Exchange Rate," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(2), pages 270-293.
    3. Thobekile Qabhobho & Anokye M. Adam & Emmanuel Asafo-Adjei, 2023. "Do Local and International Shocks Matter in the Interconnectedness amid Exchange Rates and Energy Commodities? Insights into BRICS Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 666-678, November.
    4. Xie He & Tetsuya Takiguchi & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Spillover effects between energies, gold, and stock: the United States versus China," Energy & Environment, , vol. 31(8), pages 1416-1447, December.
    5. Ioannis Katsampoxakis & Apostolos Christopoulos & Petros Kalantonis & Vasileios Nastas, 2022. "Crude Oil Price Shocks and European Stock Markets during the COVID-19 Period," Energies, MDPI, vol. 15(11), pages 1-14, June.

  47. Zhaojie Luo & Xiaojing Cai & Katsuyuki Tanaka & Tetsuya Takiguchi & Takuji Kinkyo & Shigeyuki Hamori, 2019. "Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks," JRFM, MDPI, vol. 12(1), pages 1-13, January.

    Cited by:

    1. Urolagin, Siddhaling & Sharma, Nikhil & Datta, Tapan Kumar, 2021. "A combined architecture of multivariate LSTM with Mahalanobis and Z-Score transformations for oil price forecasting," Energy, Elsevier, vol. 231(C).
    2. Shima Nabiee & Nader Bagherzadeh, 2023. "Stock Trend Prediction: A Semantic Segmentation Approach," Papers 2303.09323, arXiv.org.
    3. Li, Mingchen & Cheng, Zishu & Lin, Wencan & Wei, Yunjie & Wang, Shouyang, 2023. "What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 123(C).
    4. Aniruddha Dutta & Saket Kumar & Meheli Basu, 2020. "A Gated Recurrent Unit Approach to Bitcoin Price Prediction," JRFM, MDPI, vol. 13(2), pages 1-16, February.
    5. Li, Yuze & Jiang, Shangrong & Li, Xuerong & Wang, Shouyang, 2021. "The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach," Energy Economics, Elsevier, vol. 95(C).
    6. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.

  48. Katsuyuki Tanaka & Takuo Higashide & Takuji Kinkyo & Shigeyuki Hamori, 2019. "Analyzing Industry‐Level Vulnerability By Predicting Financial Bankruptcy," Economic Inquiry, Western Economic Association International, vol. 57(4), pages 2017-2034, October.

    Cited by:

    1. Solomon Y. Deku & Alper Kara & Artur Semeyutin, 2021. "The predictive strength of MBS yield spreads during asset bubbles," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 111-142, January.
    2. Wenting Zhang & Shigeyuki Hamori, 2020. "Do Machine Learning Techniques and Dynamic Methods Help Forecast US Natural Gas Crises?," Energies, MDPI, vol. 13(9), pages 1-22, May.
    3. Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    4. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
    5. Susanna Levantesi & Gabriella Piscopo, 2020. "The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach," Risks, MDPI, vol. 8(4), pages 1-17, October.
    6. Yulian Zhang & Shigeyuki Hamori, 2020. "Forecasting Crude Oil Market Crashes Using Machine Learning Technologies," Energies, MDPI, vol. 13(10), pages 1-14, May.
    7. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.

  49. Shigeyuki Hamori & Minami Kawai & Takahiro Kume & Yuji Murakami & Chikara Watanabe, 2018. "Ensemble Learning or Deep Learning? Application to Default Risk Analysis," JRFM, MDPI, vol. 11(1), pages 1-14, March.
    See citations under working paper version above.
  50. Takashi Miyazaki & Shigeyuki Hamori, 2018. "The Determinants Of A Simultaneous Crash In Gold And Stock Markets: An Ordered Logit Approach," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-25, March.
    See citations under working paper version above.
  51. Lei Xu & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Predicting Currency Crises: A Novel Approach Combining Random Forests and Wavelet Transform," JRFM, MDPI, vol. 11(4), pages 1-11, December.

    Cited by:

    1. Wenting Zhang & Shigeyuki Hamori, 2020. "Do Machine Learning Techniques and Dynamic Methods Help Forecast US Natural Gas Crises?," Energies, MDPI, vol. 13(9), pages 1-22, May.
    2. Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah & Florian Gerth, 2021. "Towards Full-Fledged Inflation Targeting Monetary Policy Regime in Mauritius," JRFM, MDPI, vol. 14(3), pages 1-18, March.
    3. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.

  52. Lu Yang & Shigeyuki Hamori, 2018. "Modeling The Dynamics Of International Agricultural Commodity Prices: A Comparison Of Garch And Stochastic Volatility Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-20, September.

    Cited by:

    1. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
    2. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
    3. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    4. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(3), pages 704-728, July.
    5. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.

  53. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2018. "What determines the long-term correlation between oil prices and exchange rates?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 140-152.

    Cited by:

    1. Vincenzo Candila & Denis Maximov & Alexey Mikhaylov & Nikita Moiseev & Tomonobu Senjyu & Nicole Tryndina, 2021. "On the Relationship between Oil and Exchange Rates of Oil-Exporting and Oil-Importing Countries: From the Great Recession Period to the COVID-19 Era," Energies, MDPI, vol. 14(23), pages 1-18, December.
    2. Chen, Qiang & Gong, Yuting, 2019. "The economic sources of China's CSI 300 spot and futures volatilities before and after the 2015 stock market crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 102-121.
    3. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    4. Szafranek, Karol & Szafrański, Grzegorz & Leszczyńska-Paczesna, Agnieszka, 2024. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 789-810.
    5. Jin Guo & Tetsuji Tanaka, 2020. "The Effectiveness of Self-Sufficiency Policy: International Price Transmissions in Beef Markets," Sustainability, MDPI, vol. 12(15), pages 1-23, July.
    6. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.
    7. Qifa Xu & Junqing Zuo & Cuixia Jiang & Yaoyao He, 2021. "A large constrained time‐varying portfolio selection model with DCC‐MIDAS: Evidence from Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3417-3435, July.
    8. Köse, Nezir & Ünal, Emre, 2021. "The effects of the oil price and oil price volatility on inflation in Turkey," Energy, Elsevier, vol. 226(C).
    9. Antonio J., Garzón & Luis A., Hierro, 2022. "Inflation, oil prices and exchange rates. The Euro’s dampening effect," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 130-146.
    10. Radmila Krkošková, 2020. "Relationship Between the Brent Oil Price and the US Dollar Exchange Rate," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(2), pages 187-206.
    11. Chowdhury, Kushal Banik & Garg, Bhavesh, 2022. "Has COVID-19 intensified the oil price–exchange rate nexus?," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 280-298.
    12. Guo, Ranran & Ye, Wuyi, 2021. "A model of dynamic tail dependence between crude oil prices and exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    13. Raluca Maran, 2023. "Do Sovereign Catastrophe Bonds Improve Fiscal Resilience? An Application of Synthetic Control Method to Mexico," Economics of Disasters and Climate Change, Springer, vol. 7(3), pages 431-455, November.
    14. He, Kaijian & Tso, Geoffrey K.F. & Zou, Yingchao & Liu, Jia, 2018. "Crude oil risk forecasting: New evidence from multiscale analysis approach," Energy Economics, Elsevier, vol. 76(C), pages 574-583.
    15. Jiang, Cuixia & Ding, Xiaoyi & Xu, Qifa & Tong, Yongbo, 2020. "A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    16. Jungho Baek, 2023. "A Note on the Asymmetry of Oil Price Shocks," Commodities, MDPI, vol. 2(1), pages 1-2, March.
    17. Umar Tijjani Babuga & Niaz Ahmad Mohd Naseem, 2022. "Oil Price Change and Economic Growth: Evidence from Net Sub-Saharan Africa Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 369-378, March.
    18. Aganin, Artem & Peresetsky, Anatoly, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    19. Husaini, Dzul Hadzwan & Lean, Hooi Hooi, 2021. "Asymmetric impact of oil price and exchange rate on disaggregation price inflation," Resources Policy, Elsevier, vol. 73(C).
    20. Hong Eun Moon & Si Won Choi & Yoon Hee Ha, 2024. "Prioritizing factors for the sustainable growth of Vietnam's solar photovoltaic power market," Energy & Environment, , vol. 35(4), pages 2151-2177, June.
    21. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    22. Liu, Min & Lee, Chien-Chiang, 2022. "Is gold a long-run hedge, diversifier, or safe haven for oil? Empirical evidence based on DCC-MIDAS," Resources Policy, Elsevier, vol. 76(C).

  54. Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    See citations under working paper version above.
  55. Guizhou Liu & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Modeling the Dependence Structure of Share Prices among Three Chinese City Banks," JRFM, MDPI, vol. 11(4), pages 1-18, September.

    Cited by:

    1. Christian Bucio Pacheco & Luis Villanueva & Raúl de Jesús Gutiérrez, 2021. "Dependence in the Banking Sector of the United States and Mexico: A Copula Approach," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-23, Septiembr.
    2. Arnab Bhattacharjee & Sudipto Roy, 2019. "Abnormal Returns or Mismeasured Risk? Network Effects and Risk Spillover in Stock Returns," JRFM, MDPI, vol. 12(2), pages 1-13, March.
    3. Jin Shang & Shigeyuki Hamori, 2023. "Differential Tail Dependence between Crude Oil and Forex Markets in Oil-Importing and Oil-Exporting Countries during Recent Crisis Periods," Sustainability, MDPI, vol. 15(19), pages 1-24, October.
    4. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.

  56. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.

    Cited by:

    1. Hanli Chen & Yu Zhang & Ningxin Zhang & Man Zhou & Heping Ding, 2022. "Analysis on the Spatial Effect of Infrastructure Development on the Real Estate Price in the Yangtze River Delta," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    2. Mahua Barari & Srikanta Kundu, 2019. "The Role of the Federal Reserve in the U.S. Housing Crisis: A VAR Analysis with Endogenous Structural Breaks," JRFM, MDPI, vol. 12(3), pages 1-20, July.
    3. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.

  57. Yang, Lu & Tian, Shuairu & Yang, Wei & Xu, Mingli & Hamori, Shigeyuki, 2018. "Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 116-137.

    Cited by:

    1. Zheng, Yanting & Luan, Xin & Lu, Xin & Liu, Jiaming, 2023. "A new view of risk contagion by decomposition of dependence structure: Empirical analysis of Sino-US stock markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Abhibasu Sen & Karabi Dutta Chaudhury, 2019. "On the Co-movement of Crude, Gold Prices and Stock Index in Indian Market," Papers 1904.05317, arXiv.org.
    3. Kim Hiang Liow, 2022. "Exploring a Three-Factor Dependence Structure of Conditional Volatilities: Some Quantile Regression Evidence from Real Estate Investment Trusts," JRFM, MDPI, vol. 15(6), pages 1-13, May.
    4. Mo, Xuan & Su, Zhi & Yin, Libo, 2019. "Can the skewness of oil returns affect stock returns? Evidence from China’s A-Share markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    5. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Khaliq Ul Rehman & Ghulam Ghouse, 2024. "Examining Inflation Expectations within Asian Economies: Application of Wavelet Quantile Analysis towards Assessing Monetary Policy Credibility," Journal of Economic Impact, Science Impact Publishers, vol. 6(1), pages 70-80.
    7. Muhammad Azmat Hayat & Huma Ghulam & Maryam Batool & Muhammad Zahid Naeem & Abdullah Ejaz & Cristi Spulbar & Ramona Birau, 2021. "Investigating the Causal Linkages among Inflation, Interest Rate, and Economic Growth in Pakistan under the Influence of COVID-19 Pandemic: A Wavelet Transformation Approach," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    8. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Dynamic frequency volatility spillovers and connectedness between strategic commodity and stock markets: US-based sectoral analysis," Resources Policy, Elsevier, vol. 79(C).
    9. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    10. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    11. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    12. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2020. "Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    13. Zhu, Huiming & Yu, Dongwei & Hau, Liya & Wu, Hao & Ye, Fangyu, 2022. "Time-frequency effect of crude oil and exchange rates on stock markets in BRICS countries: Evidence from wavelet quantile regression analysis," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    14. Tian, Shuairu & Gao, Xiang & Cai, Xiaojing, 2023. "The interactive CNY-CNH relationship: A wavelet analysis," Journal of International Money and Finance, Elsevier, vol. 133(C).
    15. Miao, Xiaoyu & Wang, Qunwei & Dai, Xingyu, 2022. "Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 450-470.
    16. Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    17. Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    18. Hau, Liya & Zhu, Huiming & Yu, Yang & Yu, Dongwei, 2022. "Time-frequency coherence and quantile causality between trade policy uncertainty and rare earth prices: Evidence from China and the US," Resources Policy, Elsevier, vol. 75(C).
    19. Boubaker, Heni & Larbi, Ons Ben, 2022. "Dynamic dependence and hedging strategies in BRICS stock markets with oil during crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 263-279.

  58. Youngho Chang & Zheng Fang & Shigeyuki Hamori & Dawn Chow, 2018. "A Sustainable Metropolis: Perspectives of Population, Productivity and Parity," Sustainability, MDPI, vol. 10(11), pages 1-17, November.

    Cited by:

    1. Anna Martyka & Dorota Jopek & Izabela Skrzypczak, 2022. "Analysis of the Sustainable Development Index in the Communes of the Podkarpackie Voivodeship: A Polish Case Study," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    2. Xueli Chen & Yongyong Song & Xingang Fan & Jing Ma, 2022. "Sustainable Population Size at the County Level under Limited Development Policy Constraints: Case Study of the Xihaigu Mountain Area, Northwest China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.

  59. Lu Yang & Jason Z. Ma & Shigeyuki Hamori, 2018. "Dependence Structures and Systemic Risk of Government Securities Markets in Central and Eastern Europe: A CoVaR-Copula Approach," Sustainability, MDPI, vol. 10(2), pages 1-23, January.

    Cited by:

    1. Andrzej Paczoski & Solomon T. Abebe & Giuseppe T. Cirella, 2019. "Debt and Deficit Growth Rate Reporting for Post-Communist European Union Member States," Social Sciences, MDPI, vol. 8(6), pages 1-17, June.
    2. Guoxiang Xu & Wangfeng Gao, 2019. "Financial Risk Contagion in Stock Markets: Causality and Measurement Aspects," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    3. Yuhao Liu & Petar M. Djurić & Young Shin Kim & Svetlozar T. Rachev & James Glimm, 2021. "Systemic Risk Modeling with Lévy Copulas," JRFM, MDPI, vol. 14(6), pages 1-20, June.
    4. Zhang, Xiaoming & Zhang, Xinsong & Lee, Chien-Chiang & Zhao, Yue, 2023. "Measurement and prediction of systemic risk in China’s banking industry," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    6. Yunsong Xu & Hanying Qi & Jiaqi Li & Ning Ding, 2021. "The Risk Spillover Effects of the Real Estate Industry on the Financial Industry: A GARCH-Time-Varying-Copula-CoVaR Approach on China," SAGE Open, , vol. 11(4), pages 21582440211, December.
    7. Seok-Kyun Hur & Chune Young Chung & Chang Liu, 2018. "Is Liquidity Risk Priced? Theory and Evidence," Sustainability, MDPI, vol. 10(6), pages 1-13, May.
    8. Cevik, Emrah Ismail & Caliskan Terzioglu, Hande & Kilic, Yunus & Bugan, Mehmet Fatih & Dibooglu, Sel, 2024. "Interconnectedness and systemic risk: Evidence from global stock markets," Research in International Business and Finance, Elsevier, vol. 69(C).

  60. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.

    Cited by:

    1. Tadahiro Nakajima & Yuki Toyoshima, 2019. "Measurement of Connectedness and Frequency Dynamics in Global Natural Gas Markets," Energies, MDPI, vol. 12(20), pages 1-15, October.
    2. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Kinkyo, Takuji, 2021. "Region-wide connectedness of Asian equity and currency markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Cui Jinxin & Zou Huiwen, 2020. "Connectedness Among Economic Policy Uncertainties: Evidence from the Time and Frequency Domain Perspectives," Journal of Systems Science and Information, De Gruyter, vol. 8(5), pages 401-433, October.
    5. Mukhriz Izraf Azman Aziz & Norzalina Ahmad & Jin Zichu & Safwan Mohd Nor, 2022. "The Impact of COVID-19 on the Connectedness of Stock Index in ASEAN+3 Economies," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    6. Jin, Yi & Zhao, Hang & Bu, Lin & Zhang, Dayong, 2023. "Geopolitical risk, climate risk and energy markets: A dynamic spillover analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    7. Guo, Li-Yang & Feng, Chao, 2021. "Are there spillovers among China's pilots for carbon emission allowances trading?," Energy Economics, Elsevier, vol. 103(C).
    8. Escribano, Ana & Koczar, Monika W. & Jareño, Francisco & Esparcia, Carlos, 2023. "Shock transmission between crude oil prices and stock markets," Resources Policy, Elsevier, vol. 83(C).
    9. Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
    10. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    11. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.
    12. Tomal Mateusz, 2020. "Spillovers across House Price Convergence Clubs: Evidence from the Polish Housing Market," Real Estate Management and Valuation, Sciendo, vol. 28(2), pages 13-20, June.
    13. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    14. Niyati Bhanja & Samia Nasreen & Arif Billah Dar & Aviral Kumar Tiwari, 2022. "Connectedness in International Crude Oil Markets," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 227-262, January.
    15. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Hammoudeh, Shawkat, 2022. "The connectedness in the world petroleum futures markets using a Quantile VAR approach," Journal of Commodity Markets, Elsevier, vol. 27(C).
    16. Xie He & Tetsuya Takiguchi & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Spillover effects between energies, gold, and stock: the United States versus China," Energy & Environment, , vol. 31(8), pages 1416-1447, December.
    17. Wenting Zhang & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "How Does the Spillover among Natural Gas, Crude Oil, and Electricity Utility Stocks Change over Time? Evidence from North America and Europe," Energies, MDPI, vol. 13(3), pages 1-26, February.
    18. Tiantian Liu & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Influence of Fluctuations in Fossil Fuel Commodities on Electricity Markets: Evidence from Spot and Futures Markets in Europe," Energies, MDPI, vol. 13(8), pages 1-20, April.
    19. Peng Zhang & Yunfei Huang & Ying Wu, 2018. "Springback Coefficient Research of API X60 Pipe with Dent Defect," Energies, MDPI, vol. 11(11), pages 1-17, November.
    20. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).
    21. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.
    22. Majid Mirzaee Ghazani & Ali Akbar Momeni Malekshah & Reza Khosravi, 2024. "Analyzing time–frequency connectedness between cryptocurrencies, stock indices, and benchmark crude oils during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.
    23. Kinkyo, Takuji, 2020. "Time-frequency dynamics of exchange rates in East Asia," Research in International Business and Finance, Elsevier, vol. 52(C).
    24. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, vol. 13(12), pages 1-28, June.

  61. Wanjun Yao & Shigeyuki Hamori, 2018. "The long-run relationship between farm size and productivity," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(2), pages 373-386, September.

    Cited by:

    1. Wenjing Han & Zhengfeng Zhang & Xiaoling Zhang & Li He, 2021. "Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China," Land, MDPI, vol. 10(9), pages 1-22, August.

  62. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.

    Cited by:

    1. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2023. "Systemwide directional connectedness from Crude Oil to sovereign credit risk," Journal of Commodity Markets, Elsevier, vol. 30(C).
    2. Huthaifa Alqaralleh, 2024. "The sovereign Credit Default Swap Spreads and Chinese Sectors Stock Market: A Causality in Quantile and Dependence Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(4), pages 845-866, December.
    3. Chen, Wang & Ho, Kung-Cheng & Yang, Lu, 2020. "Network structures and idiosyncratic contagion in the European sovereign credit default swap market," International Review of Financial Analysis, Elsevier, vol. 72(C).
    4. Ceylan Nesrin & Münyas Turgay, 2021. "An Empirical Investigation on the Relationship Between the Eurozone Zew Index and the Eurozone Stock Markets," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 31(4), pages 1-17, December.
    5. Yao, Yinhong & Li, Jingyu & Chen, Wei, 2024. "Multiscale extreme risk spillovers among the Chinese mainland, Hong Kong, and London stock markets: Comparing the impacts of three Stock Connect programs," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1217-1233.
    6. Yang, Lu, 2019. "Connectedness of economic policy uncertainty and oil price shocks in a time domain perspective," Energy Economics, Elsevier, vol. 80(C), pages 219-233.
    7. Sevillano, María Caridad & Jareño, Francisco & López, Raquel & Esparcia, Carlos, 2024. "Connectedness between oil price shocks and US sector returns: Evidence from TVP-VAR and wavelet decomposition," Energy Economics, Elsevier, vol. 131(C).
    8. Özer Depren & Mustafa Tevfik Kartal & Serpil Kılıç Depren, 2021. "Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-20, December.
    9. Yang, Lu, 2023. "Oil price bubbles: The role of network centrality on idiosyncratic sovereign risk," Resources Policy, Elsevier, vol. 82(C).
    10. Mustafa Tevfik KARTAL, 2022. "The Role of Macroeconomic and Market Indicators in Explaining Sovereign Credit Default Swaps (CDS) Spread Changes: Evidence from Türkiye," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 145-164, April.
    11. Depren, Özer & Kartal, Mustafa Tevfik & Kılıç Depren, Serpil, 2021. "Changes of gold prices in COVID-19 pandemic: Daily evidence from Turkey's monetary policy measures with selected determinants," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    12. Li, Haiping & Semeyutin, Artur & Lau, Chi Keung Marco & Gozgor, Giray, 2020. "The relationship between oil and financial markets in emerging economies: The significant role of Kazakhstan as the oil exporting country," Finance Research Letters, Elsevier, vol. 32(C).
    13. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    14. Lu Yang & Lei Yang & Xue Cui, 2023. "Sovereign default network and currency risk premia," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    15. de Oliveira, Erick Meira & Cunha, Felipe Arias Fogliano de Souza & Palazzi, Rafael Baptista & Klotzle, Marcelo Cabus & Maçaira, Paula Medina, 2020. "On the effects of uncertainty measures on sustainability indices: An empirical investigation in a nonlinear framework," International Review of Financial Analysis, Elsevier, vol. 70(C).
    16. ERER, Deniz, 2022. "The Asymmetrical Impact Of Policy Responses On Volatility Of Sovereign Default Swaps," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 26(3), pages 35-54, September.
    17. Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    18. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    19. Ahmed R. M. Alsayed, 2023. "Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1107-1123, October.
    20. Imran Yousaf & Shoaib Ali & Muhammad Naveed & Ifraz Adeel, 2021. "Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications," SAGE Open, , vol. 11(2), pages 21582440211, April.
    21. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    22. Cheuathonghua, Massaporn & de Boyrie, Maria E. & Pavlova, Ivelina & Wongkantarakorn, Jutamas, 2022. "Extreme risk spillovers from commodity indexes to sovereign CDS spreads of commodity dependent countries: A VAR quantile analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    23. Prayer M. Rikhotso & Beatrice D. Simo-Kengne, 2022. "Dependence Structures between Sovereign Credit Default Swaps and Global Risk Factors in BRICS Countries," JRFM, MDPI, vol. 15(3), pages 1-22, February.
    24. Huthaifa Sameeh Alqaralleh, 2024. "From volatility to stability: understanding the role of macroeconomic factors in sovereign CDS spreads," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 665-707, September.
    25. Yang, Lu & Hamori, Shigeyuki, 2023. "Modeling the global sovereign credit network under climate change," International Review of Financial Analysis, Elsevier, vol. 87(C).

  63. Xiao Jing Cai & Shuairu Tian & Shigeyuki Hamori, 2017. "Stock Market Integration in China: Evidence from the Asymmetric DCC Model and Copula Approach," Applied Economics and Finance, Redfame publishing, vol. 4(2), pages 1-10, March.

    Cited by:

    1. Guoxiang Xu & Wangfeng Gao, 2019. "Financial Risk Contagion in Stock Markets: Causality and Measurement Aspects," Sustainability, MDPI, vol. 11(5), pages 1-20, March.

  64. W. Chen & S. Hamori & T. Kinkyo, 2017. "Banking sector resilience to financial spillovers," Applied Economics Letters, Taylor & Francis Journals, vol. 24(6), pages 422-426, March.

    Cited by:

    1. Seza Danışoğlu & Z. Nuray Güner & Hande Ayaydın Hacıömeroğlu, 2018. "International Evidence on Risk Taking by Banks Around the Global Financial Crisis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 1946-1962, July.
    2. Pierre-Richard Agénor & Luiz A. Pereira da Silva, 2022. "Financial spillovers, spillbacks, and the scope for international macroprudential policy coordination," International Economics and Economic Policy, Springer, vol. 19(1), pages 79-127, February.
    3. Chen, Wang & Hamori, Shigeyuki & Kinkyo, Takuji, 2019. "Complexity of financial stress spillovers: Asymmetry and interaction effects of institutional quality and foreign bank ownership," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 567-581.

  65. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2017. "Does the crude oil price influence the exchange rates of oil-importing and oil-exporting countries differently? A wavelet coherence analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 536-547.

    Cited by:

    1. Volker Seiler, 2024. "The relationship between Chinese and FOB prices of rare earth elements – Evidence in the time and frequency domain," Post-Print hal-04549980, HAL.
    2. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Bachmeier, Lance, 2019. "Modelling systemic risk and dependence structure between the prices of crude oil and exchange rates in BRICS economies: Evidence using quantile coherency and NGCoVaR approaches," Energy Economics, Elsevier, vol. 81(C), pages 1011-1028.
    3. Yousfi, Mohamed & Ben Zaied, Younes & Ben Cheikh, Nidhaleddine & Ben Lahouel, Béchir & Bouzgarrou, Houssem, 2021. "Effects of the COVID-19 pandemic on the US stock market and uncertainty: A comparative assessment between the first and second waves," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Scott M. R. Mahadeo & Reinhold Heinlein & Gabriella Deborah Legrenzi, 2018. "Energy Contagion Analysis: A New Perspective with Application to a Small Petroleum Economy," CESifo Working Paper Series 7279, CESifo.
    5. Benzid, Lamia & Bakari, Sayef, 2021. "Modeling the Asymmetric Relationship between the Covid-19 and the U.S Dollar Exchange Rate: an Empirical Analysis via the NARDL Approach," MPRA Paper 105566, University Library of Munich, Germany.
    6. Baek, Jungho, 2023. "Supply and demand shocks in the global oil market: How much do they matter for exchange rates in OPEC members?," Resources Policy, Elsevier, vol. 81(C).
    7. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    8. Su, Zhi & Lu, Man & Yin, Libo, 2018. "Oil prices and news-based uncertainty: Novel evidence," Energy Economics, Elsevier, vol. 72(C), pages 331-340.
    9. Vukovic, Darko B. & Lapshina, Kseniya A. & Maiti, Moinak, 2021. "Wavelet coherence analysis of returns, volatility and interdependence of the US and the EU money markets: Pre & post crisis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    10. Bruna, Karel & Van Tran, Quang, 2023. "Asymmetric effects of oil price shocks on EUR/USD exchange rate and structural shock decomposition in a BVAR model with sign restriction," Energy Economics, Elsevier, vol. 128(C).
    11. Wu, Kai & Zhu, Jingran & Xu, Mingli & Yang, Lu, 2020. "Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    12. Jingran Zhu & Qinghua Song & Dalia Streimikiene, 2020. "Multi-Time Scale Spillover Effect of International Oil Price Fluctuation on China’s Stock Markets," Energies, MDPI, vol. 13(18), pages 1-29, September.
    13. Yildirim, Zekeriya & Arifli, Arif, 2021. "Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy," Energy, Elsevier, vol. 219(C).
    14. Mohammad Sahabuddin & Md. Aminul Islam & Mosab I. Tabash & Suhaib Anagreh & Rozina Akter & Md. Mizanur Rahman, 2022. "Co-Movement, Portfolio Diversification, Investors’ Behavior and Psychology: Evidence from Developed and Emerging Countries’ Stock Markets," JRFM, MDPI, vol. 15(8), pages 1-15, July.
    15. Aviral Kumar Tiwari & Ibrahim D. Raheem & Seref Bozoklu & Shawkat Hammoudeh, 2022. "The Oil Price‐Macroeconomic fundamentals nexus for emerging market economies: Evidence from a wavelet analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1569-1590, January.
    16. Kumar, Suresh & Choudhary, Sangita & Singh, Gurcharan & Singhal, Shelly, 2021. "Crude oil, gold, natural gas, exchange rate and indian stock market: Evidence from the asymmetric nonlinear ARDL model," Resources Policy, Elsevier, vol. 73(C).
    17. Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Asymmetric spillovers and connectedness between crude oil and currency markets using high-frequency data," Resources Policy, Elsevier, vol. 77(C).
    18. Yang, Lu & Hamori, Shigeyuki, 2021. "Systemic risk and economic policy uncertainty: International evidence from the crude oil market," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 142-158.
    19. Moinak Maiti & Darko Vukovic & Yaroslav Vyklyuk & Zoran Grubisic, 2022. "BRICS Capital Markets Co-Movement Analysis and Forecasting," Risks, MDPI, vol. 10(5), pages 1-13, April.
    20. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).
    21. Ding, Shusheng & Zheng, Dandan & Cui, Tianxiang & Du, Min, 2023. "The oil price-inflation nexus: The exchange rate pass- through effect," Energy Economics, Elsevier, vol. 125(C).
    22. Ji, Qiang & Liu, Bing-Yue & Nguyen, Duc Khuong & Fan, Ying, 2019. "Dynamic dependence and extreme risk comovement: The case of oil prices and exchange rates," MPRA Paper 101387, University Library of Munich, Germany, revised Jan 2020.
    23. Salisu, Afees A. & Adekunle, Wasiu & Alimi, Wasiu A. & Emmanuel, Zachariah, 2019. "Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries," Resources Policy, Elsevier, vol. 62(C), pages 33-56.
    24. Wang, Fang & Han, Guosheng, 2023. "Coupling correlation adaptive detrended analysis for multiple nonstationary series," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    25. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.
    26. Muhammad Azmat Hayat & Huma Ghulam & Maryam Batool & Muhammad Zahid Naeem & Abdullah Ejaz & Cristi Spulbar & Ramona Birau, 2021. "Investigating the Causal Linkages among Inflation, Interest Rate, and Economic Growth in Pakistan under the Influence of COVID-19 Pandemic: A Wavelet Transformation Approach," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    27. Abuzayed, Bana & Al-Fayoumi, Nedal, 2021. "Risk spillover from crude oil prices to GCC stock market returns: New evidence during the COVID-19 outbreak," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    28. Shang, Jin & Hamori, Shigeyuki, 2021. "Do crude oil prices and the sentiment index influence foreign exchange rates differently in oil-importing and oil-exporting countries? A dynamic connectedness analysis," Resources Policy, Elsevier, vol. 74(C).
    29. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    30. Yue Liu & Pierre Failler & Jiaying Peng & Yuhang Zheng, 2020. "Time-Varying Relationship between Crude Oil Price and Exchange Rate in the Context of Structural Breaks," Energies, MDPI, vol. 13(9), pages 1-17, May.
    31. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility," Energy Economics, Elsevier, vol. 102(C).
    32. Bwo-Nung Huang & Chi-Chuan Lee & Yu-Fang Chang & Chien-Chiang Lee, 2021. "Dynamic linkage between oil prices and exchange rates: new global evidence," Empirical Economics, Springer, vol. 61(2), pages 719-742, August.
    33. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    34. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    35. Xu, Yang & Han, Liyan & Wan, Li & Yin, Libo, 2019. "Dynamic link between oil prices and exchange rates: A non-linear approach," Energy Economics, Elsevier, vol. 84(C).
    36. Lu Yang & Lei Yang & Xue Cui, 2023. "Sovereign default network and currency risk premia," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    37. Gao Wenxin & Wen Jun & Zakaria Muhammad & Mahmood Hamid, 2022. "Nonlinear and Asymmetric Impact of Oil Prices on Exchange Rates: Evidence from South Asia," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 16(1), pages 243-256, January.
    38. Huang, Shupei & An, Haizhong & Wen, Shaobo & An, Feng, 2017. "Revisiting driving factors of oil price shocks across time scales," Energy, Elsevier, vol. 139(C), pages 617-629.
    39. Sun, Qingru & An, Haizhong & Gao, Xiangyun & Guo, Sui & Wang, Ze & Liu, Siyao & Wen, Shaobo, 2019. "Effects of crude oil shocks on the PPI system based on variance decomposition network analysis," Energy, Elsevier, vol. 189(C).
    40. Wen, Tiange & Wang, Gang-Jin, 2020. "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    41. Boying Li & Chun-Ping Chang & Yin Chu & Bo Sui, 2020. "Oil prices and geopolitical risks: What implications are offered via multi-domain investigations?," Energy & Environment, , vol. 31(3), pages 492-516, May.
    42. Rabeh Khalfaoui & Suleman Sarwar & Aviral Kumar Tiwari, 2019. "Analysing volatility spillover between the oil market and the stock market in oil-importing and oil-exporting countries: Implications on portfolio management," Post-Print hal-03797589, HAL.
    43. Managi, Shunsuke & Yousfi, Mohamed & Ben Zaied, Younes & Ben Mabrouk, Nejah & Ben Lahouel, Béchir, 2022. "Oil price, US stock market and the US business conditions in the era of COVID-19 pandemic outbreak," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 129-139.
    44. Chen, Qitong & Zhu, Huiming & Yu, Dongwei & Hau, Liya, 2022. "How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    45. Zhang, Xiang & Baek, Jungho, 2022. "The role of oil price shocks on exchange rates for the selected Asian countries: Asymmetric evidence from nonlinear ARDL and generalized IRFs approaches," Energy Economics, Elsevier, vol. 112(C).
    46. Chowdhury, Kushal Banik & Garg, Bhavesh, 2022. "Has COVID-19 intensified the oil price–exchange rate nexus?," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 280-298.
    47. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    48. Choi, Sun-Yong, 2022. "Evidence from a multiple and partial wavelet analysis on the impact of geopolitical concerns on stock markets in North-East Asian countries," Finance Research Letters, Elsevier, vol. 46(PB).
    49. Chen, Yufeng & Msofe, Zulkifr Abdallah & Wang, Chuwen, 2024. "Asymmetric dynamic spillover and time-frequency connectedness in the oil-stock nexus under COVID-19 shock: Evidence from African oil importers and exporters," Resources Policy, Elsevier, vol. 90(C).
    50. Albulescu, Claudiu Tiberiu & Demirer, Riza & Raheem, Ibrahim D. & Tiwari, Aviral Kumar, 2019. "Does the U.S. economic policy uncertainty connect financial markets? Evidence from oil and commodity currencies," Energy Economics, Elsevier, vol. 83(C), pages 375-388.
    51. Theocharis, Dimitrios & Rodrigues, Vasco Sanchez & Pettit, Stephen & Haider, Jane, 2019. "Feasibility of the Northern Sea Route: The role of distance, fuel prices, ice breaking fees and ship size for the product tanker market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 111-135.
    52. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    53. Jiang, Yonghong & Lao, Jiashun & Mo, Bin & Nie, He, 2018. "Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 265-279.
    54. Sohag, Kazi & Hassan, M. Kabir & Kalina, Irina & Mariev, Oleg, 2023. "The relative response of Russian National Wealth Fund to oil demand, supply and risk shocks," Energy Economics, Elsevier, vol. 123(C).
    55. Guo, Ranran & Ye, Wuyi, 2021. "A model of dynamic tail dependence between crude oil prices and exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    56. Zhu, Huiming & Li, Shuang & Huang, Zishan, 2023. "Frequency domain quantile dependence and connectedness between crude oil and exchange rates: Evidence from oil-importing and exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 1-30.
    57. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    58. Jungho Baek, 2021. "The role of crude oil prices in the movement of the Indonesian rupiah: a quantile ARDL approach," Economic Change and Restructuring, Springer, vol. 54(4), pages 975-994, November.
    59. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    60. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2024. "Connectedness among Chinese climate policy uncertainty, exchange rate, Chinese and international crude oil markets: Insights from time and frequency domain analyses of high order moments," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    61. Rashid Abdul & Jehan Zainab & Tahira Maria & Javed Amir, 2024. "Do Exchange Rates Respond Asymmetrically to Crude Oil Market Shocks? Insights from BRICS and Pakistan," Zagreb International Review of Economics and Business, Sciendo, vol. 27(1), pages 31-62.
    62. Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
    63. Jiang, Yong & Ren, Yi-Shuai & Narayan, Seema & Ma, Chao-Qun & Yang, Xiao-Guang, 2022. "Heterogeneity dependence between oil prices and exchange rate: Evidence from a parametric test of Granger causality in quantiles," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    64. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
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    66. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    67. Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
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    73. Wen, Danyan & Liu, Li & Ma, Chaoqun & Wang, Yudong, 2020. "Extreme risk spillovers between crude oil prices and the U.S. exchange rate: Evidence from oil-exporting and oil-importing countries," Energy, Elsevier, vol. 212(C).
    74. Youshu Li & Junjie Guo, 2022. "The asymmetric impacts of oil price and shocks on inflation in BRICS: a multiple threshold nonlinear ARDL model," Applied Economics, Taylor & Francis Journals, vol. 54(12), pages 1377-1395, March.
    75. Qiang Ji & Syed Jawad Hussain Shahzad & Elie Bouri & Muhammad Tahir Suleman, 2020. "Dynamic structural impacts of oil shocks on exchange rates: lessons to learn," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-19, December.
    76. Firouzi, Shahrokh & Wang, Xiangning, 2019. "A comparative study of exchange rates and order flow based on wavelet transform coherence and cross wavelet transform," Economic Modelling, Elsevier, vol. 82(C), pages 42-56.
    77. Sangram Keshari Jena & Aviral Kumar Tiwari & Shawkat Hammoudeh & Muhammad Shahbaz, 2020. "Dynamics of FII flows and stock market returns in a major developing country: How does economic uncertainty matter?," The World Economy, Wiley Blackwell, vol. 43(8), pages 2263-2284, August.
    78. Suyi Kim & So-Yeun Kim & Kyungmee Choi, 2020. "Effect of Oil Prices on Exchange Rate Movements in Korea and Japan Using Markov Regime-Switching Models," Energies, MDPI, vol. 13(17), pages 1-16, August.
    79. Theocharis, Dimitrios & Rodrigues, Vasco Sanchez & Pettit, Stephen & Haider, Jane, 2021. "Feasibility of the Northern Sea Route for seasonal transit navigation: The role of ship speed on ice and alternative fuel types for the oil product tanker market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 259-283.
    80. He, Feng & Ma, Feng & Wang, Ziwei & Yang, Bohan, 2021. "Asymmetric volatility spillover between oil-importing and oil-exporting countries' economic policy uncertainty and China's energy sector," International Review of Financial Analysis, Elsevier, vol. 75(C).
    81. Afees A. Salisu & Wasiu Adekunle & Zachariah Emmanuel & Wasiu A. Alimi, 2018. "Predicting exchange rate with commodity prices: The role of structural breaks and asymmetries," Working Papers 055, Centre for Econometric and Allied Research, University of Ibadan.
    82. Chkir, Imed & Guesmi, Khaled & Brayek, Angham Ben & Naoui, Kamel, 2020. "Modelling the nonlinear relationship between oil prices, stock markets, and exchange rates in oil-exporting and oil-importing countries," Research in International Business and Finance, Elsevier, vol. 54(C).
    83. Sohag, Kazi & Kalina, Irina & Samargandi, Nahla, 2024. "Oil market cyclical shocks and fiscal stance in OPEC+," Energy, Elsevier, vol. 296(C).
    84. Kumar, Pawan & Singh, Vipul Kumar, 2022. "Does crude oil fire the emerging markets currencies contagion spillover? A systemic perspective," Energy Economics, Elsevier, vol. 116(C).
    85. Jung, Young Cheol & Das, Anupam & McFarlane, Adian, 2020. "The asymmetric relationship between the oil price and the US-Canada exchange rate," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 198-206.
    86. Wang, Lu & Ruan, Hang & Hong, Yanran & Luo, Keyu, 2023. "Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method," Research in International Business and Finance, Elsevier, vol. 64(C).
    87. Parul Bhatia, 2021. "Sustainability Of Exchange Rates And Crude Oil Prices Connection With Covid-19: An Investigation For Brics," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 19-29, October.
    88. Suyi Kim & So-Yeun Kim & Kyungmee Choi, 2019. "Analyzing Oil Price Shocks and Exchange Rates Movements in Korea using Markov Regime-Switching Models," Energies, MDPI, vol. 12(23), pages 1-16, December.
    89. Chatziantoniou, Ioannis & Elsayed, Ahmed H. & Gabauer, David & Gozgor, Giray, 2023. "Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies," Energy Economics, Elsevier, vol. 120(C).
    90. Sudipta Das, 2021. "The Time–Frequency Relationship between Oil Price, Stock Returns and Exchange Rate," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 129-149, November.
    91. Zankawah, Mutawakil M. & Stewart, Chris, 2019. "Measuring volatility spill-over effects of crude oil prices on Ghana’s exchange rate and stock market between 1991 and 2015," Economics Discussion Papers 2019-1, School of Economics, Kingston University London.
    92. Changyu Liu & Muhammad Abubakr Naeem & Mobeen Ur Rehman & Saqib Farid & Syed Jawad Hussain Shahzad, 2020. "Oil as Hedge, Safe-Haven, and Diversifier for Conventional Currencies," Energies, MDPI, vol. 13(17), pages 1-19, August.
    93. Bhuiyan, Rubaiyat Ahsan & Rahman, Maya Puspa & Saiti, Buerhan & Ghani, Gairuzazmi Bin Mat, 2019. "Does the Malaysian Sovereign sukuk market offer portfolio diversification opportunities for global fixed-income investors? Evidence from wavelet coherence and multivariate-GARCH analyses," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 675-687.
    94. Chunyi Lu & Zhuoqi Teng & Yu Gao & Renhong Wu & Md. Alamgir Hossain & Yuantao Fang, 2022. "Analysis of Early Warning of RMB Exchange Rate Fluctuation and Value at Risk Measurement Based on Deep Learning," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1501-1524, April.
    95. Xu, Lei. & Hamori, Shigeyuki & Kinkyo, Takuji, 2021. "Continuous wavelet analysis of Chinese renminbi: Co-movement and lead-lag relationship between onshore and offshore exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    96. Zhao, Lu-Tao & Zheng, Zhi-Yi & Wei, Yi-Ming, 2023. "Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model," Energy Economics, Elsevier, vol. 120(C).
    97. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    98. Kyophilavong, Phouphet & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar, 2023. "Cross-spectral coherence and co-movement between WTI oil price and exchange rate of Thai Baht," Resources Policy, Elsevier, vol. 80(C).
    99. Belhassine, Olfa & Karamti, Chiraz, 2021. "Volatility spillovers and hedging effectiveness between oil and stock markets: Evidence from a wavelet-based and structural breaks analysis," Energy Economics, Elsevier, vol. 102(C).

  66. Cai, Xiao Jing & Tian, Shuairu & Yuan, Nannan & Hamori, Shigeyuki, 2017. "Interdependence between oil and East Asian stock markets: Evidence from wavelet coherence analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 206-223.

    Cited by:

    1. Maghyereh, Aktham & Abdoh, Hussein, 2022. "Extreme dependence between structural oil shocks and stock markets in GCC countries," Resources Policy, Elsevier, vol. 76(C).
    2. Yonghong Jiang & Jinqi Mu & He Nie & Lanxin Wu, 2022. "Time‐frequency analysis of risk spillovers from oil to BRICS stock markets: A long‐memory Copula‐CoVaR‐MODWT method," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3386-3404, July.
    3. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 397-419.
    4. Su, Zhi & Lu, Man & Yin, Libo, 2018. "Oil prices and news-based uncertainty: Novel evidence," Energy Economics, Elsevier, vol. 72(C), pages 331-340.
    5. Wu, Kai & Zhu, Jingran & Xu, Mingli & Yang, Lu, 2020. "Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    6. Yang, Lu & Tian, Shuairu & Yang, Wei & Xu, Mingli & Hamori, Shigeyuki, 2018. "Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 116-137.
    7. Kinkyo, Takuji, 2020. "Growing influences of the Chinese renminbi on Asian exchange rates: Evidence from a wavelet analysis of dynamic spillovers," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    8. Aviral Kumar Tiwari & Ibrahim D. Raheem & Seref Bozoklu & Shawkat Hammoudeh, 2022. "The Oil Price‐Macroeconomic fundamentals nexus for emerging market economies: Evidence from a wavelet analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1569-1590, January.
    9. Kinkyo, Takuji, 2022. "The intermediating role of the Chinese renminbi in Asian currency markets: Evidence from partial wavelet coherence," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    10. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    11. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2017. "Does the crude oil price influence the exchange rates of oil-importing and oil-exporting countries differently? A wavelet coherence analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 536-547.
    12. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    13. Kinkyo, Takuji, 2020. "Volatility interdependence on foreign exchange markets: The contribution of cross-rates," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    14. Wang, Fang & Han, Guosheng, 2023. "Coupling correlation adaptive detrended analysis for multiple nonstationary series," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    15. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.
    16. Sa Xu & Ziqing Du & Hai Zhang, 2020. "Can Crude Oil Serve as a Hedging Asset for Underlying Securities?—Research on the Heterogenous Correlation between Crude Oil and Stock Index," Energies, MDPI, vol. 13(12), pages 1-19, June.
    17. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    18. Yousaf, Imran & Arfaoui, Nadia & Gubareva, Mariya, 2024. "Spillovers and hedging effectiveness between oil and US equity sectors: Evidence from the COVID pre- and post-vaccination phases," Research in International Business and Finance, Elsevier, vol. 69(C).
    19. Qiao, Xingzhi & Zhu, Huiming & Hau, Liya, 2020. "Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    20. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.
    21. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    22. Takuji Kinkyo, 2022. "Hedging capabilities of Bitcoin for Asian currencies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1769-1784, April.
    23. Cevik, Emrah Ismail & Gunay, Samet & Zafar, Muhammad Wasif & Destek, Mehmet Akif & Bugan, Mehmet Fatih & Tuna, Fatih, 2022. "The impact of digital finance on the natural resource market: Evidence from DeFi, oil, and gold," Resources Policy, Elsevier, vol. 79(C).
    24. Yousaf, Imran & Hassan, Arshad, 2019. "Linkages between crude oil and emerging Asian stock markets: New evidence from the Chinese stock market crash," Finance Research Letters, Elsevier, vol. 31(C).
    25. Asadi, Mehrad & Roubaud, David & Tiwari, Aviral Kumar, 2022. "Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness," Energy Economics, Elsevier, vol. 109(C).
    26. Huang, Shupei & An, Haizhong & Wen, Shaobo & An, Feng, 2017. "Revisiting driving factors of oil price shocks across time scales," Energy, Elsevier, vol. 139(C), pages 617-629.
    27. Boying Li & Chun-Ping Chang & Yin Chu & Bo Sui, 2020. "Oil prices and geopolitical risks: What implications are offered via multi-domain investigations?," Energy & Environment, , vol. 31(3), pages 492-516, May.
    28. Jiang, Yonghong & Nie, He & Monginsidi, Joe Yohanes, 2017. "Co-movement of ASEAN stock markets: New evidence from wavelet and VMD-based copula tests," Economic Modelling, Elsevier, vol. 64(C), pages 384-398.
    29. Xiaojing Cai & Shigeyuki Hamori & Lu Yang & Shuairu Tian, 2020. "Multi-Horizon Dependence between Crude Oil and East Asian Stock Markets and Implications in Risk Management," Energies, MDPI, vol. 13(2), pages 1-24, January.
    30. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2021. "How do Artificial Intelligence and Robotics Stocks co-move with traditional and alternative assets in the age of the 4th industrial revolution? Implications and Insights for the COVID-19 period," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    31. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    32. Huang, Shupei & An, Haizhong & Huang, Xuan & Jia, Xiaoliang, 2018. "Co-movement of coherence between oil prices and the stock market from the joint time-frequency perspective," Applied Energy, Elsevier, vol. 221(C), pages 122-130.
    33. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    34. Jiang, Zhuhua & Yoon, Seong-Min, 2020. "Dynamic co-movement between oil and stock markets in oil-importing and oil-exporting countries: Two types of wavelet analysis," Energy Economics, Elsevier, vol. 90(C).
    35. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    36. Charalampos Basdekis & Apostolos Christopoulos & Ioannis Katsampoxakis & Vasileios Nastas, 2022. "The Impact of the Ukrainian War on Stock and Energy Markets: A Wavelet Coherence Analysis," Energies, MDPI, vol. 15(21), pages 1-15, November.
    37. Mehdi Mili & Jean‐Michel Sahut & Frédéric Teulon, 2020. "Shift‐contagion in energy markets and global crisis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 725-736, August.
    38. Samia Nasreen & Syed Asif Ali Naqvi & Aviral Kumar Tiwari & Shawkat Hammoudeh & Syed Ale Raza Shah, 2020. "A Wavelet-Based Analysis of the Co-Movement between Sukuk Bonds and Shariah Stock Indices in the GCC Region: Implications for Risk Diversification," JRFM, MDPI, vol. 13(4), pages 1-21, March.
    39. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    40. Choi, Sun-Yong, 2020. "Industry volatility and economic uncertainty due to the COVID-19 pandemic: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 37(C).
    41. Liow, Kim Hiang & Huang, Yuting & Song, Jeonseop, 2019. "Relationship between the United States housing and stock markets: Some evidence from wavelet analysis," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    42. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    43. Vamsidhar Ambatipudi & Dilip Kumar, 2022. "Economic Policy Uncertainty Versus Sector Volatility: Evidence from India Using Multi-scale Wavelet Granger Causality Analysis," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 184-210, June.
    44. Hong Thai Le & Marta Disegna, 2018. "Responses of macroeconomy and stock markets to structural oil price shocks: New evidence from Asian oil refinery," BAFES Working Papers BAFES25, Department of Accounting, Finance & Economic, Bournemouth University.
    45. Tian, Shuairu & Gao, Xiang & Cai, Xiaojing, 2023. "The interactive CNY-CNH relationship: A wavelet analysis," Journal of International Money and Finance, Elsevier, vol. 133(C).
    46. Lin, Saiyan & Chen, Rongda & Lv, Zhihong & Zhou, Tianqing & Jin, Chenglu, 2019. "Integrated measurement of liquidity risk and market risk of company bonds based on the optimal Copula model," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    47. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    48. Imran Yousaf & Shoaib Ali & Muhammad Naveed & Ifraz Adeel, 2021. "Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications," SAGE Open, , vol. 11(2), pages 21582440211, April.
    49. Lei Xu & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Predicting Currency Crises: A Novel Approach Combining Random Forests and Wavelet Transform," JRFM, MDPI, vol. 11(4), pages 1-11, December.
    50. Sudipta Das, 2021. "The Time–Frequency Relationship between Oil Price, Stock Returns and Exchange Rate," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 129-149, November.
    51. Ali, Syed Riaz Mahmood & Mensi, Walid & Anik, Kaysul Islam & Rahman, Mishkatur & Kang, Sang Hoon, 2022. "The impacts of COVID-19 crisis on spillovers between the oil and stock markets: Evidence from the largest oil importers and exporters," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 345-372.
    52. Xu, Lei. & Hamori, Shigeyuki & Kinkyo, Takuji, 2021. "Continuous wavelet analysis of Chinese renminbi: Co-movement and lead-lag relationship between onshore and offshore exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    53. Zhang, Guofu & Liu, Wei, 2018. "Analysis of the international propagation of contagion between oil and stock markets," Energy, Elsevier, vol. 165(PA), pages 469-486.
    54. Belhassine, Olfa & Karamti, Chiraz, 2021. "Volatility spillovers and hedging effectiveness between oil and stock markets: Evidence from a wavelet-based and structural breaks analysis," Energy Economics, Elsevier, vol. 102(C).

  67. Wang Chen & Shigeyuki Hamori & Takuji Kinkyo, 2016. "Financial development and financial openness nexus: the precondition of banking competition," Applied Economics, Taylor & Francis Journals, vol. 48(12), pages 1130-1139, March.
    See citations under working paper version above.
  68. Tamakoshi, Go & Hamori, Shigeyuki, 2016. "Time-varying co-movements and volatility spillovers among financial sector CDS indexes in the UK," Research in International Business and Finance, Elsevier, vol. 36(C), pages 288-296.

    Cited by:

    1. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Abakah, Emmanuel Joel Aikins & Brahim, Mariem & Carlotti, Jean-Etienne & Tiwari, Aviral Kumar & Mensi, Walid, 2024. "Extreme downside risk connectedness and portfolio hedging among the G10 currencies," International Economics, Elsevier, vol. 178(C).
    3. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    4. Ji, Qiang & Bahloul, Walid & Geng, Jiang-Bo & Gupta, Rangan, 2020. "Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective," Research in International Business and Finance, Elsevier, vol. 52(C).
    5. Ahmad, Wasim & Sharma, Sumit Kumar, 2018. "Testing output gap and economic uncertainty as an explicator of stock market returns," Research in International Business and Finance, Elsevier, vol. 45(C), pages 293-306.
    6. Ivanov, Ivan & Kabaivanov, Stanimir & Bogdanova, Boryana, 2016. "Stock market recovery from the 2008 financial crisis: The differences across Europe," Research in International Business and Finance, Elsevier, vol. 37(C), pages 360-374.
    7. Audrino, Francesco & Tetereva, Anastasija, 2019. "Sentiment spillover effects for US and European companies," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 542-567.
    8. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    9. Saker Sabkha & Christian de Peretti & Dorra Mezzez Hmaied, 2019. "International risk spillover in the sovereign credit markets: An empirical analysis," Post-Print hal-01652526, HAL.
    10. Li, Leon, 2017. "Dynamic correlations and domestic-global diversification," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 280-290.
    11. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "Volatility spillovers during market supply shocks: The case of negative oil prices," Resources Policy, Elsevier, vol. 74(C).
    12. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "An analysis of investor behaviour and information flows surrounding the negative WTI oil price futures event," Energy Economics, Elsevier, vol. 104(C).
    13. Moutsianas, Konstantinos A. & Kosmidou, Kyriaki, 2016. "Bank earnings volatility in the UK: Does size matter? A comparison between commercial and investment banks," Research in International Business and Finance, Elsevier, vol. 38(C), pages 137-150.
    14. Yu, Sherry, 2017. "Sovereign and bank Interdependencies—Evidence from the CDS market," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 68-84.

  69. Tanaka, Katsuyuki & Kinkyo, Takuji & Hamori, Shigeyuki, 2016. "Random forests-based early warning system for bank failures," Economics Letters, Elsevier, vol. 148(C), pages 118-121.

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    1. Mirjana Jemović & Srđan Marinković, 2021. "Determinants of financial crises—An early warning system based on panel logit regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 103-117, January.
    2. Solomon Y. Deku & Alper Kara & Artur Semeyutin, 2021. "The predictive strength of MBS yield spreads during asset bubbles," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 111-142, January.
    3. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers 2/2019, Halle Institute for Economic Research (IWH).
    4. Alexandr Patalaha & Maria A. Shchepeleva, 2023. "Bank Crisis Management Policies and the New Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 43-60, December.
    5. Asyrofa Rahmi & Hung-Yuan Lu & Deron Liang & Dinda Novitasari & Chih-Fong Tsai, 2023. "Role of Comprehensive Income in Predicting Bankruptcy," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 689-720, August.
    6. Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    7. Deng, Shangkun & Huang, Xiaoru & Zhu, Yingke & Su, Zhihao & Fu, Zhe & Shimada, Tatsuro, 2023. "Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    8. Ronghua Xu & Yiran Liu & Meng Liu & Chengang Ye, 2023. "Sustainability of Shipping Logistics: A Warning Model," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    9. Yuxi Heluo & Kexin Wang & Charles W. Robson, 2023. "Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis," Papers 2311.13046, arXiv.org.
    10. Wang, Peiwan & Zong, Lu, 2023. "Does machine learning help private sectors to alarm crises? Evidence from China’s currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    11. Mathieu Mercadier & Jean-Pierre Lardy, 2019. "Credit spread approximation and improvement using random forest regression," Post-Print hal-03241566, HAL.
    12. Abdel Latef Anouze & Imad Bou-Hamad, 2021. "Inefficiency source tracking: evidence from data envelopment analysis and random forests," Annals of Operations Research, Springer, vol. 306(1), pages 273-293, November.
    13. Mohammad S. Uddin & Guotai Chi & Mazin A. M. Al Janabi & Tabassum Habib, 2022. "Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3713-3729, July.
    14. Rezaei , Pooria & Ebrahimi , Seyed Babak & Azin , Pejman, 2019. "Evaluating the Application of a Financial Early Warning System in the Iranian Banking System," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(2), pages 177-204, April.
    15. Hitoshi Hamori & Shigeyuki Hamori, 2020. "Does Ensemble Learning Always Lead to Better Forecasts?," Applied Economics and Finance, Redfame publishing, vol. 7(2), pages 51-56, March.
    16. Li Xian Liu & Shuangzhe Liu & Milind Sathye, 2021. "Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    17. Wenting Zhang & Shigeyuki Hamori, 2020. "Do Machine Learning Techniques and Dynamic Methods Help Forecast US Natural Gas Crises?," Energies, MDPI, vol. 13(9), pages 1-22, May.
    18. Alessandro Bitetto & Paola Cerchiello & Charilaos Mertzanis, 2021. "A data-driven approach to measuring financial soundness throughout the world," DEM Working Papers Series 199, University of Pavia, Department of Economics and Management.
    19. Parnes, Dror & Gormus, Alper, 2024. "Prescreening bank failures with K-means clustering: Pros and cons," International Review of Financial Analysis, Elsevier, vol. 93(C).
    20. Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    21. Kwon, Yujin & Park, Sung Y., 2023. "Modeling an early warning system for household debt risk in Korea: A simple deep learning approach," Journal of Asian Economics, Elsevier, vol. 84(C).
    22. Manthoulis, Georgios & Doumpos, Michalis & Zopounidis, Constantin & Galariotis, Emilios, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," European Journal of Operational Research, Elsevier, vol. 282(2), pages 786-801.
    23. Xianglong Liu, 2023. "Towards Better Banking Crisis Prediction: Could an Automatic Variable Selection Process Improve the Performance?," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 288-312, June.
    24. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    25. Durand, Pierre & Le Quang, Gaëtan, 2022. "Banks to basics! Why banking regulation should focus on equity," European Journal of Operational Research, Elsevier, vol. 301(1), pages 349-372.
    26. Hallman, Nicholas J. & Kartapanis, Antonis & Schmidt, Jaime J., 2022. "How do auditors respond to competition? Evidence from the bidding process," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    27. Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).
    28. Cristina Zeldea, 2020. "Modeling the Connection between Bank Systemic Risk and Balance-Sheet Liquidity Proxies through Random Forest Regressions," Administrative Sciences, MDPI, vol. 10(3), pages 1-14, August.
    29. Kurowski, Łukasz & Smaga, Paweł, 2023. "Analysing financial stability reports as crisis predictors with the use of text-mining," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    30. Jiaming Liu & Chengzhang Li & Peng Ouyang & Jiajia Liu & Chong Wu, 2023. "Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1112-1137, August.
    31. Susanna Levantesi & Gabriella Piscopo, 2020. "The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach," Risks, MDPI, vol. 8(4), pages 1-17, October.
    32. Buch, Claudia M. & Vogel, Edgar & Weigert, Benjamin, 2018. "Evaluating macroprudential policies," ESRB Working Paper Series 76, European Systemic Risk Board.
    33. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    34. Huynh, Tran & Uebelmesser, Silke, 2024. "Early warning models for systemic banking crises: Can political indicators improve prediction?," European Journal of Political Economy, Elsevier, vol. 81(C).
    35. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).
    36. Xie, Qichang & Fang, Tingwei & Rong, Xueyun & Xu, Xin, 2024. "Nonlinear behavior of tail risk resonance and early warning: Insight from global energy stock markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    37. Maria Ludovica Drudi & Stefano Nobili, 2021. "A liquidity risk early warning indicator for Italian banks: a machine learning approach," Temi di discussione (Economic working papers) 1337, Bank of Italy, Economic Research and International Relations Area.
    38. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    39. Dichtl, Hubert & Drobetz, Wolfgang & Otto, Tizian, 2023. "Forecasting Stock Market Crashes via Machine Learning," Journal of Financial Stability, Elsevier, vol. 65(C).
    40. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.
    41. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.
    42. Irfan Nurfalah & Aam Slamet Rusydiana & Nisful Laila & Eko Fajar Cahyono, 2018. "Early Warning to Banking Crises in the Dual Financial System in Indonesia: The Markov Switching Approach التحذير المبكر من الأزمات المصرفية في النظام المالي المزدوج في إندونيسيا: مقاربة ماركوف للتحويل," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 31(2), pages 133-156, July.
    43. Fu, Junhui & Zhou, Qingling & Liu, Yufang & Wu, Xiang, 2020. "Predicting stock market crises using daily stock market valuation and investor sentiment indicators," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    44. Sreenivasulu Puli & Nagaraju Thota & A. C. V. Subrahmanyam, 2024. "Assessing Machine Learning Techniques for Predicting Banking Crises in India," JRFM, MDPI, vol. 17(4), pages 1-16, March.
    45. Yu Xia & Ta Xu & Ming-Xia Wei & Zhen-Ke Wei & Lian-Jie Tang, 2023. "Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    46. Jinxi Chen & Bowen Cai, 2024. "AIIB Investment and Economic Development of India: The Case of the Gujarat Road Project," JRFM, MDPI, vol. 17(2), pages 1-25, February.

  70. Xiao Jing Cai & Shuairu Tian & Shigeyuki Hamori, 2016. "Dynamic correlation and equicorrelation analysis of global financial turmoil: evidence from emerging East Asian stock markets," Applied Economics, Taylor & Francis Journals, vol. 48(40), pages 3789-3803, August.

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    1. Lv, Fei & Yang, Chen & Fang, Libing, 2020. "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    2. Roberto Louis Forestal & Shih Ming Pi, 2021. "Dynamic Equicorrelation Analysis of Financial Contagion: Evidence from Latin America Markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-2.
    3. Marco Tronzano, 2021. "Financial Crises, Macroeconomic Variables, and Long-Run Risk: An Econometric Analysis of Stock Returns Correlations (2000 to 2019)," JRFM, MDPI, vol. 14(3), pages 1-25, March.
    4. Akhtaruzzaman, Md & Shamsuddin, Abul, 2016. "International contagion through financial versus non-financial firms," Economic Modelling, Elsevier, vol. 59(C), pages 143-163.
    5. Mori Kogid & Jaratin Lily & Rozilee Asid & James M. Alin & Dullah Mulok, 2022. "Volatility spillover and dynamic co-movement of foreign direct investment between Malaysia and China and developed countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 131-148, February.
    6. Prince Osei Mensah & Anokye M. Adam, 2020. "Copula-Based Assessment of Co-Movement and Tail Dependence Structure Among Major Trading Foreign Currencies in Ghana," Risks, MDPI, vol. 8(2), pages 1-20, June.
    7. Thai Hung, Ngo & Nguyen, Linh Thi My & Vinh Vo, Xuan, 2022. "Exchange rate volatility connectedness during Covid-19 outbreak: DECO-GARCH and Transfer Entropy approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    8. Saker Sabkha & Christian de Peretti, 2022. "On the performances of Dynamic Conditional Correlation models in the Sovereign CDS market and the corresponding bond market," Post-Print hal-01710398, HAL.

  71. T. Tamakoshi & S. Hamori, 2016. "Testing cointegration between health care expenditure and GDP in Japan with the presence of a regime shift," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 151-155, February.

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    1. Lars Hultkrantz, 2021. "Discounting in economic evaluation of healthcare interventions: what about the risk term?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 357-363, April.
    2. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain, 2019. "Is health care a luxury or necessity good? Evidence from Asian countries," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 213-233, June.
    3. Rezwanul Hasan Rana & Khorshed Alam & Jeff Gow, 2020. "Health expenditure and gross domestic product: causality analysis by income level," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 55-77, March.

  72. Tian, Shuairu & Hamori, Shigeyuki, 2016. "Time-varying price shock transmission and volatility spillover in foreign exchange, bond, equity, and commodity markets: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 163-171.

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    1. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Shanghui Jia & Xinhui Chen & Liyan Han & Jiayu Jin, 2023. "Global climate change and commodity markets: A hedging perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1393-1422, October.
    3. Morales-Zumaquero, Amalia & Sosvilla-Rivero, Simón, 2018. "Volatility spillovers between foreign exchange and stock markets in industrialized countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 121-136.
    4. Yin, Libo & Ma, Xiyuan, 2018. "Causality between oil shocks and exchange rate: A Bayesian, graph-based VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 434-453.
    5. Rim Ammar Lamouchi & Ruba Khalid Shira, 2023. "Heterogeneous Behavior and Volatility Transmission in the Forex Market using High-Frequency Data," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-3.
    6. Ozdemir, Huseyin & Ozdemir, Zeynel Abidin, 2021. "A Survey of Hedge and Safe Havens Assets against G-7 Stock Markets before and during the COVID-19 Pandemic," IZA Discussion Papers 14888, Institute of Labor Economics (IZA).
    7. Ren, Xiaohang & Xiao, Ya & Duan, Kun & Urquhart, Andrew, 2024. "Spillover effects between fossil energy and green markets: Evidence from informational inefficiency," Energy Economics, Elsevier, vol. 131(C).
    8. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2017. "Does the crude oil price influence the exchange rates of oil-importing and oil-exporting countries differently? A wavelet coherence analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 536-547.
    9. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    10. Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir & Mark E. Wohar, 2019. "Fed’s Unconventional Monetary Policy and Risk Spillover in the US Financial Markets," Working Papers 15-47, Eastern Mediterranean University, Department of Economics.
    11. Jiang, Yong & Liu, Cenjie & Xie, Rui, 2021. "Oil price shocks and credit spread: Structural effect and dynamic spillover," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    13. Yin, Libo & Su, Zhi & Lu, Man, 2022. "Is oil risk important for commodity-related currency returns?," Research in International Business and Finance, Elsevier, vol. 60(C).
    14. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    15. Chowdhury, Kushal Banik & Garg, Bhavesh, 2022. "Has COVID-19 intensified the oil price–exchange rate nexus?," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 280-298.
    16. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    17. Nekhili, Ramzi & Mensi, Walid & Vo, Xuan Vinh, 2021. "Multiscale spillovers and connectedness between gold, copper, oil, wheat and currency markets," Resources Policy, Elsevier, vol. 74(C).
    18. Sokhanvar, Amin & Çiftçioğlu, Serhan & Lee, Chien-Chiang, 2023. "The effect of energy price shocks on commodity currencies during the war in Ukraine," Resources Policy, Elsevier, vol. 82(C).
    19. Pagnottoni, Paolo & Spelta, Alessandro & Pecora, Nicolò & Flori, Andrea & Pammolli, Fabio, 2021. "Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    20. Vo, Xuan Vinh & Ellis, Craig, 2018. "International financial integration: Stock return linkages and volatility transmission between Vietnam and advanced countries," Emerging Markets Review, Elsevier, vol. 36(C), pages 19-27.
    21. Wenting Zhang & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "How Does the Spillover among Natural Gas, Crude Oil, and Electricity Utility Stocks Change over Time? Evidence from North America and Europe," Energies, MDPI, vol. 13(3), pages 1-26, February.
    22. Mensi, Walid & Aslan, Aylin & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Time-frequency spillovers and connectedness between precious metals, oil futures and financial markets: Hedge and safe haven implications," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 219-232.
    23. Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Feedback spillover dynamics of crude oil and global assets indicators: A system-wide network perspective," Energy Economics, Elsevier, vol. 80(C), pages 321-335.
    24. Wen, Shaobo & An, Haizhong & Huang, Shupei & Liu, Xueyong, 2019. "Dynamic impact of China's stock market on the international commodity market," Resources Policy, Elsevier, vol. 61(C), pages 564-571.
    25. Zhang, Weiping & Zhuang, Xintian & Lu, Yang & Wang, Jian, 2020. "Spatial linkage of volatility spillovers and its explanation across G20 stock markets: A network framework," International Review of Financial Analysis, Elsevier, vol. 71(C).
    26. Yadav, Miklesh Prasad & Abedin, Mohammad Zoynul & Sinha, Neena & Arya, Vandana, 2024. "Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion," Research in International Business and Finance, Elsevier, vol. 67(PA).
    27. Sohag, Kazi & Shams, S.M. Riad & Gainetdinova, Anna & Nappo, Fabio, 2023. "Frequency connectedness and cross-quantile dependence among medicare, medicine prices and health-tech equity," Technovation, Elsevier, vol. 120(C).
    28. Xie, Qichang & Luo, Chao & Cong, Xiaoping & Wang, Xu, 2024. "Volatility connectedness and its determinants of global energy stock markets," Economic Systems, Elsevier, vol. 48(2).
    29. Bhuiyan, Rubaiyat Ahsan & Rahman, Maya Puspa & Saiti, Buerhan & Ghani, Gairuzazmi Bin Mat, 2019. "Does the Malaysian Sovereign sukuk market offer portfolio diversification opportunities for global fixed-income investors? Evidence from wavelet coherence and multivariate-GARCH analyses," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 675-687.
    30. Saadati, Alireza & Honarmandi, Zahra & Zarei, Samira, 2020. "Real Exchange Rate Shocks and Export-Oriented Businesses in Iran: An Empirical Analysis Using NARDL Model," MPRA Paper 101554, University Library of Munich, Germany, revised 30 Jun 2020.
    31. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.
    32. Amin Sokhanvar & Chien-Chiang Lee, 2023. "How do energy price hikes affect exchange rates during the war in Ukraine?," Empirical Economics, Springer, vol. 64(5), pages 2151-2164, May.

  73. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.

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    1. Singh, Jitendra & Ahmad, Wasim & Mishra, Anil, 2019. "Coherence, connectedness and dynamic hedging effectiveness between emerging markets equities and commodity index funds," Resources Policy, Elsevier, vol. 61(C), pages 441-460.
    2. Hathroubi, Salem & Aloui, Chaker, 2022. "Oil price dynamics and fiscal policy cyclicality in Saudi Arabia: New evidence from partial and multiple wavelet coherences," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 149-160.
    3. Muhammad Abubakr Naeem & Saqib Farid & Fiza Qureshi & Farhad Taghizadeh‐Hesary, 2023. "Global factors and the transmission between United States and emerging stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3488-3510, October.
    4. Zhicheng Liang & Junwei Wang & Kin Keung Lai, 2020. "Dependence Structure Analysis and VaR Estimation Based on China’s and International Gold Price: A Copula Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 169-193, February.
    5. Yang, Lu & Tian, Shuairu & Yang, Wei & Xu, Mingli & Hamori, Shigeyuki, 2018. "Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 116-137.
    6. Ngo Thai Hung, 2021. "Volatility Behaviour of the Foreign Exchange Rate and Transmission Among Central and Eastern European Countries: Evidence from the EGARCH Model," Global Business Review, International Management Institute, vol. 22(1), pages 36-56, February.
    7. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    8. Yoshito Funashima, 2018. "Macroeconomic policy coordination between Japanese central and local governments," Empirical Economics, Springer, vol. 54(4), pages 1631-1651, June.
    9. Bonga-Bonga, Lumengo & Mpoha, Salifya, 2024. "Spillover effects from China and the United States to Key Regional Emerging Markets: A dynamic analysis," International Review of Financial Analysis, Elsevier, vol. 91(C).
    10. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    11. Umar, Zaghum & Gubareva, Mariya, 2020. "A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    12. Qiao, Xingzhi & Zhu, Huiming & Hau, Liya, 2020. "Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    13. Alexandru Chiriluș & Adrian Costea, 2023. "The Effect of FDI on Environmental Degradation in Romania: Testing the Pollution Haven Hypothesis," Sustainability, MDPI, vol. 15(13), pages 1-16, July.
    14. Syed Jawad Hussain Shahzad & Jose Arreola‐Hernandez & Md Lutfur Rahman & Gazi Salah Uddin & Muhammad Yahya, 2021. "Asymmetric interdependence between currency markets' volatilities across frequencies and time scales," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2436-2457, April.
    15. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    16. Azza Bejaoui & Wajdi Frikha & Ahmed Jeribi, 2023. "On the dynamic connectedness between the G7 stock market indices and different asset classes: Fresh insights from the COVID-19 pandemic and Russia–Ukraine war," SN Business & Economics, Springer, vol. 3(11), pages 1-21, November.
    17. Bejaoui, Azza & Frikha, Wajdi & Jeribi, Ahmed & Bariviera, Aurelio F., 2023. "Connectedness between emerging stock markets, gold, cryptocurrencies, DeFi and NFT: Some new evidence from wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    18. Nekhili, Ramzi & Ziadat, Salem Adel & Mensi, Walid, 2023. "Frequency interdependence and portfolio management between gold, oil and sustainability stock markets," International Economics, Elsevier, vol. 176(C).
    19. Gong, Yuting & Ma, Chao & Chen, Qiang, 2022. "Exchange rate dependence and economic fundamentals: A Copula-MIDAS approach," Journal of International Money and Finance, Elsevier, vol. 123(C).
    20. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    21. Maneejuk, Paravee & Kaewtathip, Nuttaphong & Jaipong, Peemmawat & Yamaka, Woraphon, 2022. "The transition of the global financial markets' connectedness during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    22. Aktham Maghyereh & Basel Awartani & Abul Hassan, 2018. "Can gold be used as a hedge against the risks of Sharia-compliant securities? Application for Islamic portfolio management," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 394-412, October.
    23. Ngo Thai Hung, 2020. "Identifying the Dynamic Connectedness between Propane and Oil Prices: Evidence from Wavelet Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 315-326.
    24. Cai, Xiao Jing & Tian, Shuairu & Yuan, Nannan & Hamori, Shigeyuki, 2017. "Interdependence between oil and East Asian stock markets: Evidence from wavelet coherence analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 206-223.
    25. Concepción González-Concepción & María Candelaria Gil-Fariña & Celina Pestano-Gabino, 2018. "Wavelet power spectrum and cross-coherency of Spanish economic variables," Empirical Economics, Springer, vol. 55(2), pages 855-882, September.
    26. Socaciu, Erzsébet-Mirjám & Nagy, Bálint-Zsolt & Benedek, Botond, 2023. "No place like home: Home bias and flight-to-quality in Group of Seven countries," Economic Modelling, Elsevier, vol. 129(C).
    27. Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
    28. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    29. Pattnaik, Debidutta & Kumar, Satish & Burton, Bruce & Lim, Weng Marc, 2022. "Economic Modelling at thirty-five: A retrospective bibliometric survey," Economic Modelling, Elsevier, vol. 107(C).
    30. Wang, Haiying & Yuan, Ying & Li, Yiou & Wang, Xunhong, 2021. "Financial contagion and contagion channels in the forex market: A new approach via the dynamic mixture copula-extreme value theory," Economic Modelling, Elsevier, vol. 94(C), pages 401-414.
    31. Sangram Keshari Jena & Aviral Kumar Tiwari & Shawkat Hammoudeh & Muhammad Shahbaz, 2020. "Dynamics of FII flows and stock market returns in a major developing country: How does economic uncertainty matter?," The World Economy, Wiley Blackwell, vol. 43(8), pages 2263-2284, August.
    32. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2023. "Does market sentiment and global uncertainties influence ESG-oil nexus? A time-frequency analysis," Resources Policy, Elsevier, vol. 86(PA).
    33. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    34. Xingxing He & Korhan K. Gokmenoglu & Dervis Kirikkaleli & Syed Kumail Abbas Rizvi, 2023. "Co‐movement of foreign exchange rate returns and stock market returns in an emerging market: Evidence from the wavelet coherence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1994-2005, April.
    35. Xiuwen Chen, 2023. "Are the shocks of EPU, VIX, and GPR indexes on the oil-stock nexus alike? A time-frequency analysis," Applied Economics, Taylor & Francis Journals, vol. 55(48), pages 5637-5652, October.
    36. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    37. Devendra Kumar Jain & Naqeeb Ur-Rehman & Omonjon Ganiev & Kapil Arora, 2023. "Currencies of greater interest for central Asian economies: an analysis of exchange market pressure amid global and regional interdependence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-18, December.
    38. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.
    39. Saba Qureshi & Muhammad Aftab, 2023. "Exchange Rate Interdependence in ASEAN Markets: A Wavelet Analysis," Global Business Review, International Management Institute, vol. 24(6), pages 1180-1204, December.

  74. T. Miyazaki & S. Hamori, 2016. "Asymmetric correlations in gold and other financial markets," Applied Economics, Taylor & Francis Journals, vol. 48(46), pages 4419-4425, October.

    Cited by:

    1. Thi-Hong-Van Hoang & Zhenzhen Zhu & Abdelbari El Khamlichi & Wing-Keung Wong, 2019. "Does the Shari’ah screening impact the gold-stock nexus? A sectorial analysis," Post-Print hal-02179795, HAL.
    2. Linyu Cao & Ruili Sun & Tiefeng Ma & Conan Liu, 2023. "On Asymmetric Correlations and Their Applications in Financial Markets," JRFM, MDPI, vol. 16(3), pages 1-18, March.
    3. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    4. Meraz, M. & Alvarez-Ramirez, J. & Echeverria, J.C., 2017. "Asymmetric correlations in the ozone concentration dynamics of the Mexico City Metropolitan Area," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 377-386.
    5. Dagher, Leila & Jamali, Ibrahim & badra, nasser, 2018. "The Predictive Power of Oil and Commodity Prices for Equity Markets," MPRA Paper 116055, University Library of Munich, Germany.
    6. Naeem, Muhammad Abubakr & Qureshi, Fiza & Arif, Muhammad & Balli, Faruk, 2021. "Asymmetric relationship between gold and Islamic stocks in bearish, normal and bullish market conditions," Resources Policy, Elsevier, vol. 72(C).

  75. Lu Yang & Shigeyuki Hamori, 2016. "Hot Money and Business Cycle Volatility: Evidence from Selected ASEAN Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(2), pages 351-363, February.

    Cited by:

    1. Zhang, Yihao & Chen, Fang & Huang, Jian & Shenoy, Catherine, 2019. "Hot money flows and production uncertainty: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    2. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    3. Mohamed Ibrahim Nor & Tajul Ariffin Masron & Tariq Tawfeeq Yousif Alabdullah, 2020. "Macroeconomic Fundamentals and the Exchange Rate Volatility: Empirical Evidence From Somalia," SAGE Open, , vol. 10(1), pages 21582440198, January.
    4. Yıldırım-Karaman, Secil, 2017. "Uncertainty shocks, central bank characteristics and business cycles," Economic Systems, Elsevier, vol. 41(3), pages 379-388.

  76. Takeshi Inoue & Shigeyuki Hamori, 2016. "Do Workers’ Remittances Promote Access to Finance? Evidence from Asia-Pacific Developing Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 765-774, March.

    Cited by:

    1. Chrysost Bangake & Jude Eggoh, 2021. "Remittances and financial inclusion: Does financial developemnt matter?," Post-Print hal-03271429, HAL.
    2. Ranjan Kumar Dash, 2020. "Impact of Remittances on Domestic Investment: A Panel Study of Six South Asian Countries," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(1), pages 7-30, March.
    3. Emara, Noha & Zhang, Yuanhao, 2021. "The non-linear impact of digitization on remittances inflow: Evidence from the BRICS," Telecommunications Policy, Elsevier, vol. 45(4).
    4. Abba Yadou Barnabé & Ningaye Paul & Bangake Chrysost, 2021. "Do remittances spur financial inclusion in Africa? a multi-dimensional approach," Economics Bulletin, AccessEcon, vol. 41(2), pages 328-341.
    5. Jianmu Ye & KMMCB Kulathunga, 2019. "How Does Financial Literacy Promote Sustainability in SMEs? A Developing Country Perspective," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
    6. Addai, Bismark & Tang, Wenjin & Twumasi, Martinson Ankrah & Asante, Dennis & Agyeman, Annette Serwaa, 2022. "Access to financial services and lighting energy consumption: Empirical evidence from rural Ghana," Energy, Elsevier, vol. 253(C).
    7. Le Thanh Tung, 2018. "The Impact Of Remittances On Domestic Investment In Developing Countries: Fresh Evidence From The Asia-Pacific Region," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 9(2).

  77. Takeshi Inoue & Shigeyuki Hamori, 2016. "Financial Access and Economic Growth: Evidence from Sub-Saharan Africa," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 743-753, March.

    Cited by:

    1. Md. Nur Alam Siddik & Tanveer Ahsan & Sajal Kabiraj, 2019. "Does Financial Permeation Promote Economic Growth? Some Econometric Evidence From Asian Countries," SAGE Open, , vol. 9(3), pages 21582440198, July.
    2. Yakubu, Ibrahim Nandom & Bunyaminu, Alhassan, 2021. "Financial Inclusion and Economic Growth in West Africa: The Moderating Effect of Financial Openness," MPRA Paper 115183, University Library of Munich, Germany.
    3. Chengjuan Xia & Md. Qamruzzaman & Anass Hamadelneel Adow, 2022. "An Asymmetric Nexus: Remittance-Led Human Capital Development in the Top 10 Remittance-Receiving Countries: Are FDI and Gross Capital Formation Critical for a Road to Sustainability?," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    4. Isaac Ofoeda & Lordina Amoah & Ebenezer Bugri Anarfo & Joshua Yindenaba Abor, 2024. "Financial inclusion and economic growth: What roles do institutions and financial regulation play?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 832-848, January.
    5. Admasu A. Maruta & Habtamu T. Edjigu & Woubet Kassa, 2023. "Does financial inclusion empower women in Africa?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 52(3), November.
    6. Dakhlia, Sami & Diallo, Boubacar & Temimi, Akram, 2021. "Financial inclusion and ethnic development: Evidence from satellite light density at night," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    7. Aman Pushp & Rahul Singh Gautam & Vikas Tripathi & Jagjeevan Kanoujiya & Shailesh Rastogi & Venkata Mrudula Bhimavarapu & Neha Parashar, 2023. "Impact of Financial Inclusion on India’s Economic Development under the Moderating Effect of Internet Subscribers," JRFM, MDPI, vol. 16(5), pages 1-15, May.
    8. Tarna Silue, 2021. "Financial Inclusion and Economic Growth : Evidence in the Digital Environment of Developing Countries," CERDI Working papers hal-03281843, HAL.
    9. Tarna Silue, 2021. "Financial Inclusion and Economic Growth : Evidence in the Digital Environment of Developing Countries," Working Papers hal-03281843, HAL.
    10. Mahamat Ibrahim Ahmat Tidjani, 2020. "An exploratory analysis of financial inclusion in Chad," Post-Print hal-03322905, HAL.
    11. de Moraes, Claudio Oliveira & Roquete, Raphael Moses & Gawryszewski, Gustavo, 2023. "Who needs cash? Digital finance and income inequality," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 84-93.
    12. Amon Simba & Mahdi Tajeddin & Léo-Paul Dana & Domingo E. Ribeiro Soriano, 2024. "Deconstructing involuntary financial exclusion: a focus on African SMEs," Small Business Economics, Springer, vol. 62(1), pages 285-305, January.
    13. Morgan, Peter J. & Long, Trinh Quang, 2020. "Financial literacy, financial inclusion, and savings behavior in Laos," Journal of Asian Economics, Elsevier, vol. 68(C).
    14. Rashmi Umesh Arora & Tapan Sarker, 2023. "Financing for Sustainable Development Goals (SDGs) in the Era of COVID-19 and Beyond," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 1-19, February.
    15. US Thathsarani & Jianguo Wei & GRSRC Samaraweera, 2021. "Financial Inclusion’s Role in Economic Growth and Human Capital in South Asia: An Econometric Approach," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    16. Josephat Lotto, 2022. "Understanding financial inclusion in East Africa: How does Tanzania compare?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1075-1084, January.
    17. Emon Kalyan Chowdhury & Rupam Chowdhury, 2024. "Role of Financial Inclusion in Human Development: Evidence from Bangladesh, India and Pakistan," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3329-3354, March.
    18. Masoud Mohammed Albiman & Hamad Omar Bakar, 2022. "The Role of Financial Inclusion on Economic Growth in Sub Saharan African (SSA) Region," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 8(4), pages 363-384, October.
    19. Khan, Mohammed Arshad & Khan, Muhammad Atif & Khan, Muhammad Asif & Alhumoudi, Hamad & Haddad, Hossam, 2023. "Natural resource rents and access to finance," Journal of Multinational Financial Management, Elsevier, vol. 70.
    20. Nigo, Ayine R.S. & Gibogwe, Vincent, 2023. "Empirical Research on Financial Efficiency and Economic Growth in Sub-Saharan Africa," MPRA Paper 116041, University Library of Munich, Germany, revised 14 Dec 2022.
    21. EZZAHID, Elhadj & ELOUAOURTI, Zakaria, 2017. "Financial development and total factors productivity channel: Evidence from Africa," MPRA Paper 81764, University Library of Munich, Germany.
    22. Md Nur Alam Siddik, 2021. "Does Financial Permeation Induce Economic Growth? Evidence from SAARC Countries," Global Business Review, International Management Institute, vol. 22(4), pages 893-905, August.

  78. Tomoko Tamakoshi & Shigeyuki Hamori, 2015. "Health-care expenditure, GDP and share of the elderly in Japan: a panel cointegration analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 22(9), pages 725-729, June.

    Cited by:

    1. Yang Yang & Han Lin Shang & Joel E. Cohen, 2022. "Temporal and spatial Taylor's law: Application to Japanese subnational mortality rates," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1979-2006, October.
    2. Alberto Bucci & Lorenzo Carbonari & Monia Ranalli & Giovanni Trovato, 2019. "Health and Development," CEIS Research Paper 470, Tor Vergata University, CEIS, revised 24 Mar 2021.
    3. Kabaya, Kei, 2021. "Empirical analysis of associations between health expenditure and forest environments: A case of Japan," Ecological Economics, Elsevier, vol. 181(C).
    4. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.
    5. Deepak Kumar BEHERA & Umakant DASH, 2017. "Impact of GDP and tax revenue on health care financing: An empirical investigation from Indian states," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(611), S), pages 249-262, Summer.

  79. Tian, Shuairu & Hamori, Shigeyuki, 2015. "Modeling interest rate volatility: A Realized GARCH approach," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 158-171.

    Cited by:

    1. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2020. "Improving the realized GARCH’s volatility forecast for Bitcoin with jump-robust estimators," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    2. Wu, Xinyu & Xia, Michelle & Zhang, Huanming, 2020. "Forecasting VaR using realized EGARCH model with skewness and kurtosis," Finance Research Letters, Elsevier, vol. 32(C).
    3. Wang, Tianyi & Liang, Fang & Huang, Zhuo & Yan, Hong, 2022. "Do realized higher moments have information content? - VaR forecasting based on the realized GARCH-RSRK model," Economic Modelling, Elsevier, vol. 109(C).
    4. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
    5. Jui‐Cheng Hung & Hung‐Chun Liu & J. Jimmy Yang, 2023. "Does the tail risk index matter in forecasting downside risk?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3451-3466, July.
    6. Ehsan Hajizadeh & Masoud Mahootchi, 2019. "Developing a Risk-Based Approach for American Basket Option Pricing," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1593-1612, April.
    7. Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Econometrics, MDPI, vol. 11(3), pages 1-36, August.
    8. Jiang, Wei & Ruan, Qingsong & Li, Jianfeng & Li, Ye, 2018. "Modeling returns volatility: Realized GARCH incorporating realized risk measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 249-258.
    9. Tian, Shuairu & Hamori, Shigeyuki, 2016. "Time-varying price shock transmission and volatility spillover in foreign exchange, bond, equity, and commodity markets: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 163-171.
    10. Stavroula P. Fameliti & Vasiliki D. Skintzi, 2020. "Predictive ability and economic gains from volatility forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 200-219, March.
    11. Liu, Tao & Guan, Xinyue & Wei, Yigang & Xue, Shan & Xu, Liang, 2023. "Impact of economic policy uncertainty on the volatility of China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 121(C).
    12. Yusui Tang & Feng Ma & Yaojie Zhang & Yu Wei, 2022. "Forecasting the oil price realized volatility: A multivariate heterogeneous autoregressive model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4770-4783, October.
    13. Lin, Saiyan & Chen, Rongda & Lv, Zhihong & Zhou, Tianqing & Jin, Chenglu, 2019. "Integrated measurement of liquidity risk and market risk of company bonds based on the optimal Copula model," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    14. Emel Siklar & Ilyas Siklar, 2021. "Time Series Dynamics of Short Term Interest Rates in Turkey," Business and Economic Research, Macrothink Institute, vol. 11(1), pages 92-108, March.
    15. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    16. Mozumder, Sharif & Dempsey, Michael & Kabir, M. Humayun & Choudhry, Taufiq, 2016. "An improved framework for approximating option prices with application to option portfolio hedging," Economic Modelling, Elsevier, vol. 59(C), pages 285-296.
    17. Hasanov, Akram Shavkatovich & Poon, Wai Ching & Al-Freedi, Ajab & Heng, Zin Yau, 2018. "Forecasting volatility in the biofuel feedstock markets in the presence of structural breaks: A comparison of alternative distribution functions," Energy Economics, Elsevier, vol. 70(C), pages 307-333.
    18. Xiafei Li & Yu Wei & Xiaodan Chen & Feng Ma & Chao Liang & Wang Chen, 2022. "Which uncertainty is powerful to forecast crude oil market volatility? New evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4279-4297, October.

  80. Yang, Lu & Hamori, Shigeyuki, 2015. "Interdependence between the bond markets of CEEC-3 and Germany: A wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 124-138.

    Cited by:

    1. Sowmya, Subramaniam & Prasanna, Krishna & Bhaduri, Saumitra, 2016. "Linkages in the term structure of interest rates across sovereign bond markets," Emerging Markets Review, Elsevier, vol. 27(C), pages 118-139.
    2. Chaker Aloui & Rania Jammazi & Hela Ben Hamida, 2018. "Multivariate Co-movement Between Islamic Stock and Bond Markets Among the GCC: A Wavelet-Based View," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 603-626, August.
    3. Vukovic, Darko B. & Lapshina, Kseniya A. & Maiti, Moinak, 2021. "Wavelet coherence analysis of returns, volatility and interdependence of the US and the EU money markets: Pre & post crisis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Yang, Lu & Tian, Shuairu & Yang, Wei & Xu, Mingli & Hamori, Shigeyuki, 2018. "Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 116-137.
    5. Lu Yang & Jason Z. Ma & Shigeyuki Hamori, 2018. "Dependence Structures and Systemic Risk of Government Securities Markets in Central and Eastern Europe: A CoVaR-Copula Approach," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    6. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.
    7. Qiao, Xingzhi & Zhu, Huiming & Hau, Liya, 2020. "Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    8. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    9. Jammazi, Rania & Tiwari, Aviral Kr. & Ferrer, Román & Moya, Pablo, 2015. "Time-varying dependence between stock and government bond returns: International evidence with dynamic copulas," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 74-93.
    10. Karkowska, Renata & Urjasz, Szczepan, 2021. "Connectedness structures of sovereign bond markets in Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    11. Sanjay Kumar Rout & Hrushikesh Mallick, 2022. "Sovereign Bond Market Shock Spillover Over Different Maturities: A Journey from Normal to Covid-19 Period," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 697-734, December.
    12. Shabeer Khan & Niaz Ahmed Bhutto & Uzair Abdullah Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abdullah Ludeen, 2022. "Ṣukūk or Bond, Which Is More Sustainable during COVID-19? Global Evidence from the Wavelet Coherence Model," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    13. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    14. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    15. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    16. Funashima Yoshito, 2021. "Time–Frequency Regression," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 21-32, January.
    17. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    18. Bhuiyan, Rubaiyat Ahsan & Rahman, Maya Puspa & Saiti, Buerhan & Ghani, Gairuzazmi Bin Mat, 2019. "Does the Malaysian Sovereign sukuk market offer portfolio diversification opportunities for global fixed-income investors? Evidence from wavelet coherence and multivariate-GARCH analyses," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 675-687.

  81. Yang, Lu & Cai, Xiao Jing & Li, Mengling & Hamori, Shigeyuki, 2015. "Modeling dependence structures among international stock markets: Evidence from hierarchical Archimedean copulas," Economic Modelling, Elsevier, vol. 51(C), pages 308-314.

    Cited by:

    1. Mensah, Jones Odei & Alagidede, Paul, 2017. "How are Africa's emerging stock markets related to advanced markets? Evidence from copulas," Economic Modelling, Elsevier, vol. 60(C), pages 1-10.
    2. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    3. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2017. "Time Varying Integration amongst the South Asian Equity Markets: An Empirical Study," Working papers of CATT hal-01885142, HAL.
    4. Nguyen, Cuong & Ishaq Bhatti, M. & Henry, Darren, 2017. "Are Vietnam and Chinese stock markets out of the US contagion effect in extreme events?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 480(C), pages 10-21.
    5. Phong Nguyen & Wei-han Liu, 2017. "Time-Varying Linkage of Possible Safe Haven Assets: A Cross-Market and Cross-asset Analysis," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 43-76, March.
    6. Benlagha, Noureddine, 2020. "Stock market dependence in crisis periods: Evidence from oil price shocks and the Qatar blockade," Research in International Business and Finance, Elsevier, vol. 54(C).
    7. Nguyen, Cuong & Bhatti, M. Ishaq & Komorníková, Magda & Komorník, Jozef, 2016. "Gold price and stock markets nexus under mixed-copulas," Economic Modelling, Elsevier, vol. 58(C), pages 283-292.
    8. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    9. Mokni, Khaled & Mansouri, Faysal, 2017. "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 116-131.
    10. Yunsong Xu & Hanying Qi & Jiaqi Li & Ning Ding, 2021. "The Risk Spillover Effects of the Real Estate Industry on the Financial Industry: A GARCH-Time-Varying-Copula-CoVaR Approach on China," SAGE Open, , vol. 11(4), pages 21582440211, December.
    11. Jiang, Kunliang & Ye, Wuyi, 2022. "Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?," Economic Modelling, Elsevier, vol. 117(C).
    12. A. Ford Ramsey & Barry K. Goodwin, 2019. "Value-at-Risk and Models of Dependence in the U.S. Federal Crop Insurance Program," JRFM, MDPI, vol. 12(2), pages 1-21, April.
    13. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2018. "Stock Market Integration Dynamics and its Determinants in the East Asian Economic Community Region," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 389-425, June.
    14. Charfeddine, Lanouar & Al Refai, Hisham, 2019. "Political tensions, stock market dependence and volatility spillover: Evidence from the recent intra-GCC crises," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    15. Bellenzier, Lucia & Vitting Andersen, Jørgen & Rotundo, Giulia, 2016. "Contagion in the world's stock exchanges seen as a set of coupled oscillators," Economic Modelling, Elsevier, vol. 59(C), pages 224-236.
    16. Labidi, Chiaz & Rahman, Md Lutfur & Hedström, Axel & Uddin, Gazi Salah & Bekiros, Stelios, 2018. "Quantile dependence between developed and emerging stock markets aftermath of the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 179-211.
    17. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    18. Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
    19. Ojea-Ferreiro, Javier & Reboredo, Juan C., 2021. "Exchange rates and the global transmission of equity market shocks," JRC Working Papers in Economics and Finance 2021-05, Joint Research Centre, European Commission.
    20. Lei, Lei & Peng, Yijie & Fu, Michael C. & Hu, Jian-Qiang, 2023. "Copula sensitivity analysis for portfolio credit derivatives," European Journal of Operational Research, Elsevier, vol. 308(1), pages 455-466.
    21. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    22. Lin, Saiyan & Chen, Rongda & Lv, Zhihong & Zhou, Tianqing & Jin, Chenglu, 2019. "Integrated measurement of liquidity risk and market risk of company bonds based on the optimal Copula model," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    23. Mo, Guoli & Zhang, Weiguo & Tan, Chunzhi & Liu, Xing, 2022. "Predicting the portfolio risk of high-dimensional international stock indices with dynamic spatial dependence," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    24. Abakah, Emmanuel Joel Aikins & Addo, Emmanuel & Gil-Alana, Luis A. & Tiwari, Aviral Kumar, 2021. "Re-examination of international bond market dependence: Evidence from a pair copula approach," International Review of Financial Analysis, Elsevier, vol. 74(C).
    25. Prince Osei Mensah & Anokye M. Adam, 2020. "Copula-Based Assessment of Co-Movement and Tail Dependence Structure Among Major Trading Foreign Currencies in Ghana," Risks, MDPI, vol. 8(2), pages 1-20, June.

  82. Takeshi Inoue & Shigeyuki Hamori, 2014. "Market efficiency of commodity futures in India," Applied Economics Letters, Taylor & Francis Journals, vol. 21(8), pages 522-527, May.
    See citations under working paper version above.
  83. Lu Yang & Shigeyuki Hamori, 2014. "Gold prices and exchange rates: a time-varying copula analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 24(1), pages 41-50, January.

    Cited by:

    1. Ibrahim, Zil Farlilah & Masih, Mansur, 2017. "Is gold a better choice as reserve currency for smaller market economies?," MPRA Paper 105474, University Library of Munich, Germany.
    2. Xinyu Yuan & Jiechen Tang & Wing-Keung Wong & Songsak Sriboonchitta, 2020. "Modeling Co-Movement among Different Agricultural Commodity Markets: A Copula-GARCH Approach," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
    3. Raza Syed Ali & Shah Nida & Ali Muhammad & Shahbaz Muhammad, 2021. "Do Exchange Rates Fluctuations Influence Gold Price in G7 Countries? New Insights from a Nonparametric Causality-in-Quantiles Test," Zagreb International Review of Economics and Business, Sciendo, vol. 24(2), pages 37-57.
    4. Brian M. Lucey & Maurice Peat & Aleksandar Šević & Samuel A. Vigne, 2021. "What is the optimal weight for gold in a portfolio?," Annals of Operations Research, Springer, vol. 297(1), pages 277-291, February.
    5. Emmanuel Afuecheta & Saralees Nadarajah & Stephen Chan, 2021. "A Statistical Analysis of Global Economies Using Time Varying Copulas," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1167-1194, December.
    6. Bulut, Levent & Rizvanoghlu, Islam, 2019. "Is Gold a Safe Haven? International Evidence revisited," MPRA Paper 91957, University Library of Munich, Germany.
    7. Tanin, Tauhidul Islam & Sarker, Ashutosh & Brooks, Robert, 2021. "Do currency exchange rates impact gold prices? New evidence from the ongoing COVID-19 period," International Review of Financial Analysis, Elsevier, vol. 77(C).
    8. Paul, Manas & Bhanja, Niyati & Dar, Arif Billah, 2019. "Gold, gold mining stocks and equities- partial wavelet coherence evidence from developed countries," Resources Policy, Elsevier, vol. 62(C), pages 378-384.
    9. Shubhasis Dey, 2016. "Historical Events and the Gold Price," Working papers 198, Indian Institute of Management Kozhikode.
    10. Reboredo, Juan C. & Ugando, Mikel, 2014. "US dollar exchange rate and food price dependence: Implications for portfolio risk management," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 72-89.
    11. O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015. "The financial economics of gold — A survey," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
    12. Dey Shubhasis & Sampath Aravind, 2017. "Dynamic Linkages between Gold and Equity Prices: Evidence from Indian Financial Services and Information Technology Companies," Working papers 251, Indian Institute of Management Kozhikode.
    13. Dar, Arif Billah & Bhanja, Niyati & Paul, Manas, 2019. "Do gold mining stocks behave like gold or equities? Evidence from the UK and the US," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 369-384.
    14. Peng, Wei & Hu, Shichao & Chen, Wang & Zeng, Yu-feng & Yang, Lu, 2019. "Modeling the joint dynamic value at risk of the volatility index, oil price, and exchange rate," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 137-149.

  84. Yang, Lu & Hamori, Shigeyuki, 2014. "Spillover effect of US monetary policy to ASEAN stock markets: Evidence from Indonesia, Singapore, and Thailand," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 145-155.

    Cited by:

    1. Solikin M. Juhro & Bernard N. Iyke & Paresh K. Narayan, 2020. "Interdependence Between Monetary Policy And Asset Prices In Asean-5 Countries," Working Papers WP/01/2020, Bank Indonesia.
    2. Chandra Utama & Insukindro & Ardyanto Fitrady, 2022. "Fiscal And Monetary Policy Interactions In Indonesia During Periods Of Economic Turmoil In The Us: 2001q1-2014q4," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(1), pages 97-116, June.
    3. Bosupeng, Mpho, 2015. "The Impossible Trinity and Financial Markets – An Examination of Inflation Volatility Spillovers," MPRA Paper 77923, University Library of Munich, Germany, revised 2015.
    4. Ahmad Maulin Naufa & Mamduh M. Hanafi & I Wayan Nuka Lantara, 2021. "Foreign Ownership, Stock Performance-Risk, And Macroeconomic Factors In Asean Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 24(1), pages 151-168, March.
    5. Cao, Fangzhi & Su, Chi-Wei & Sun, Dian & Qin, Meng & Umar, Muhammad, 2024. "U.S. monetary policy: The pushing hands of crude oil price?," Energy Economics, Elsevier, vol. 134(C).
    6. Sophio Togonidze & Evžen Kočenda, 2022. "Macroeconomic Responses of Emerging Market Economies to Oil Price Shocks: An Analysis by Region and Resource Profile," FFA Working Papers 4.005, Prague University of Economics and Business, revised 25 Apr 2022.
    7. Suwanprasert, Wisarut, 2023. "Consequences of Thailand’s 2006 military coup: Evidence from the synthetic control method," European Journal of Political Economy, Elsevier, vol. 80(C).
    8. Benson, Karen & Faff, Robert & Smith, Tom, 2015. "Injecting liquidity into liquidity research," Pacific-Basin Finance Journal, Elsevier, vol. 35(PB), pages 533-540.
    9. , & Hwa, Yen Siew & Chua, Soo Y. & Hooi, Lean Hooi, 2015. "Do Indian Economic Activities Impact ASEAN-5 Stock Markets?," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 49(2), pages 61-76.
    10. Sun, Xinxin & Lu, Xinsheng & Yue, Gongzheng & Li, Jianfeng, 2017. "Cross-correlations between the US monetary policy, US dollar index and crude oil market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 326-344.

  85. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Spillovers among CDS indexes in the US financial sector," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 104-113.

    Cited by:

    1. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Papafilis, Michalis-Panayiotis & Psillaki, Maria & Margaritis, Dimitris, 2015. "Interdependence between Sovereign and Bank CDS Spreads in Eurozone during the European Debt Crisis - The PSI Effect," MPRA Paper 68037, University Library of Munich, Germany.
    4. Amstad, Marlene & Remolona, Eli & Shek, Jimmy, 2016. "How do global investors differentiate between sovereign risks? The new normal versus the old," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 32-48.
    5. Bouri, Elie & Awartani, Basel & Maghyereh, Aktham, 2016. "Crude oil prices and sectoral stock returns in Jordan around the Arab uprisings of 2010," Energy Economics, Elsevier, vol. 56(C), pages 205-214.
    6. Ahmed, Walid M.A., 2018. "On the interdependence of natural gas and stock markets under structural breaks," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 149-161.
    7. Ahmed, Walid M.A., 2019. "Islamic and conventional equity markets: Two sides of the same coin, or not?," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 191-205.
    8. Tamakoshi, Go & Hamori, Shigeyuki, 2016. "Time-varying co-movements and volatility spillovers among financial sector CDS indexes in the UK," Research in International Business and Finance, Elsevier, vol. 36(C), pages 288-296.
    9. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.

  86. Go Tamakoshi & Shigeyuki Hamori, 2014. "Nonlinear adjustment between the Eonia and Euribor rates: a two-regime threshold cointegration analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 24(2), pages 139-143, January.

    Cited by:

    1. Hlebik Sviatlana & Verga Giovanni, 2015. "The European Central Bank Quantitative Policy and Its Consistency with the Demand for Liquidity," Scientific Annals of Economics and Business, Sciendo, vol. 62(3), pages 425-451, November.

  87. Yasunori Yoshizaki & Shigeyuki Haomori, 2014. "The effects of oil price shocks on expenditure category CPI," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1652-1664, May.

    Cited by:

    1. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Claudiu Tiberiu Albulescu & Cornel Oros & Aviral Kumar Tiwari, 2017. "Oil price–inflation pass-through in Romania during the inflation targeting regime," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1527-1542, March.
    3. Andre Harrison & Annika Segelhorst, 2024. "Do consumer price indices in oil-producing economies respond differently to oil market shocks? Evidence from Canada," Empirical Economics, Springer, vol. 67(5), pages 2039-2076, November.
    4. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    5. Zhang, Yulian & Hamori, Shigeyuki, 2022. "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 182-203.
    6. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
    7. Naurin, Abida & Qayyum, Abdul, 2016. "Impact of Oil Price and Its Volatility on CPI of Pakistan: Bivariate EGARCH Model," MPRA Paper 69774, University Library of Munich, Germany.
    8. Jinyu Chen & Xuehong Zhu, 2021. "The Effects of Different Types of Oil Price Shocks on Industrial PPI: Evidence from 36 Sub-industries in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3411-3434, September.

  88. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "On cross-currency transmissions between US dollar and euro LIBOR-OIS spreads," Research in International Business and Finance, Elsevier, vol. 30(C), pages 83-90.

    Cited by:

    1. Kai-Hua Wang & Chi-Wei Su & Ran Tao, 2019. "Does the Mundell-Fleming model fit in China?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 11-28.
    2. Bhuyan, Rafiqul & Robbani, Mohammad G. & Talukdar, Bakhtear & Jain, Ajeet, 2016. "Information transmission and dynamics of stock price movements: An empirical analysis of BRICS and US stock markets," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 180-195.
    3. Pedro Pires Ribeiro & José Dias Curto, 2017. "Volatility spillover effects in interbank money markets," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 105-136, February.

  89. Go Tamakoshi & Shigeyuki Hamori, 2014. "Causality-in-variance and causality-in-mean between the Greek sovereign bond yields and Southern European banking sector equity returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 627-642, October.

    Cited by:

    1. Kuruppuarachchi, Duminda & Premachandra, I.M. & Roberts, Helen, 2019. "A novel market efficiency index for energy futures and their term structure risk premiums," Energy Economics, Elsevier, vol. 77(C), pages 23-33.
    2. Jin Guo & Tetsuji Tanaka, 2020. "The Effectiveness of Self-Sufficiency Policy: International Price Transmissions in Beef Markets," Sustainability, MDPI, vol. 12(15), pages 1-23, July.
    3. Tetsuji Tanaka & Jin Guo, 2020. "How does the self-sufficiency rate affect international price volatility transmissions in the wheat sector? Evidence from wheat-exporting countries," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    4. Román Ferrer & Syed Jawad Hussain Shahzad & Adrián Maizonada, 2019. "Nonlinear and extreme dependence between long-term sovereign bond yields and the stock market: A quantile-on-quantile analysis," Economics Bulletin, AccessEcon, vol. 39(2), pages 969-981.
    5. Husain, Afzol & Karim, Sitara & Sensoy, Ahmet, 2024. "Financial fusion: Bridging Islamic and Green investments in the European stock market," International Review of Financial Analysis, Elsevier, vol. 94(C).
    6. Umar, Zaghum & Riaz, Yasir & Shahab, Yasir & Teplova, Tamara, 2023. "Network connectedness of the term structure of yield curve and global Sukuks," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    7. Stolbov, Mikhail, 2014. "The causal linkages between sovereign CDS prices for the BRICS and major European economies," Economics Discussion Papers 2014-9, Kiel Institute for the World Economy (IfW Kiel).
    8. Jin Guo & Tetsuji Tanaka, 2019. "Determinants of international price volatility transmissions: the role of self-sufficiency rates in wheat-importing countries," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-13, December.
    9. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    10. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Hammoudeh, Shawkat M., 2017. "Main driving factors of the interest rate-stock market Granger causality," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 260-280.
    11. Umar, Zaghum & Yousaf, Imran & Aharon, David Y., 2021. "The relationship between yield curve components and equity sectorial indices: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    12. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.

  90. Shenglong Liu & Guifu Chen & Shigeyuki Hamori, 2014. "Empirical research on monetary policy, asset prices and inflation: an analysis based on provincial panel data in China," Applied Economics, Taylor & Francis Journals, vol. 46(34), pages 4190-4204, December.

    Cited by:

    1. Chi-Wei Su & Jiao-Jiao Fan & Hsu-Ling Chang & Xiao-Lin Li, 2016. "Is there Causal Relationship between Money Supply Growth and Inflation in China? Evidence from Quantity Theory of Money," Review of Development Economics, Wiley Blackwell, vol. 20(3), pages 702-719, August.

  91. Yang, Lu & Hamori, Shigeyuki, 2014. "Dependence structure between CEEC-3 and German government securities markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 109-125.

    Cited by:

    1. Wohlmann, Monika, 2015. "Finanzmarktintegration in Mittelosteuropa: Eine empirische Analyse der integrativen Wirkung des Euro," Arbeitspapiere der FOM 55, FOM Hochschule für Oekonomie & Management.
    2. Yang, Lu, 2019. "Connectedness of economic policy uncertainty and oil price shocks in a time domain perspective," Energy Economics, Elsevier, vol. 80(C), pages 219-233.
    3. Narcisa Kadlcakova & Lubos Komarek & Zlatuse Komarkova & Michal Hlavacek, 2013. "Identification of Asset Price Misalignments on Financial Markets With Extreme Value Theory," Working Papers 2013/14, Czech National Bank.
    4. Akanksha Jalan & Roman Matkovskyy & Larisa Yarovaya, 2021. "“Shiny” crypto assets: A systemic look at gold-backed cryptocurrencies during the COVID-19 pandemic," Post-Print hal-03512893, HAL.
    5. Lu Yang & Jason Z. Ma & Shigeyuki Hamori, 2018. "Dependence Structures and Systemic Risk of Government Securities Markets in Central and Eastern Europe: A CoVaR-Copula Approach," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    6. Karkowska, Renata & Urjasz, Szczepan, 2021. "Connectedness structures of sovereign bond markets in Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    7. Yang, Lu & Yang, Lei & Ho, Kung-Cheng & Hamori, Shigeyuki, 2020. "Dependence structures and risk spillover in China’s credit bond market: A copula and CoVaR approach," Journal of Asian Economics, Elsevier, vol. 68(C).
    8. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    9. Guizhou Liu & Shigeyuki Hamori, 2020. "Can One Reinforce Investments in Renewable Energy Stock Indices with the ESG Index?," Energies, MDPI, vol. 13(5), pages 1-19, March.
    10. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "The conditional dependence structure of insurance sector credit default swap indices," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 122-132.
    11. Huang, MeiChi & Wu, Chih-Chiang & Liu, Shih-Min & Wu, Chang-Che, 2016. "Facts or fates of investors' losses during crises? Evidence from REIT-stock volatility and tail dependence structures," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 54-71.
    12. Wenming Shi & Kevin X. Li & Zhongzhi Yang & Ganggang Wang, 2017. "Time-varying copula models in the shipping derivatives market," Empirical Economics, Springer, vol. 53(3), pages 1039-1058, November.
    13. Yang, Lu & Hamori, Shigeyuki, 2015. "Interdependence between the bond markets of CEEC-3 and Germany: A wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 124-138.

  92. Takuji Kinkyo & Shigeyuki Hamori, 2014. "Exchange Rate Flexibility and the Integration of the Securities Market in East Asia," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 293-309.

    Cited by:

    1. Wan, Xiaoli & Yan, Yuruo & Zeng, Zhixiong, 2020. "Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

  93. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "The conditional dependence structure of insurance sector credit default swap indices," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 122-132.

    Cited by:

    1. Oussama Kchaou & Makram Bellalah & Sofiane Tahi, 2022. "Transmission of the Greek crisis on the sovereign debt markets in the euro area," Annals of Operations Research, Springer, vol. 313(2), pages 1117-1139, June.
    2. Phong Nguyen & Wei-han Liu, 2017. "Time-Varying Linkage of Possible Safe Haven Assets: A Cross-Market and Cross-asset Analysis," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 43-76, March.
    3. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    4. Atil, Ahmed & Bradford, Marc & Elmarzougui, Abdelaziz & Lahiani, Amine, 2016. "Conditional dependence of US and EU sovereign CDS: A time-varying copula-based estimation," Finance Research Letters, Elsevier, vol. 19(C), pages 42-53.
    5. A. Ford Ramsey & Barry K. Goodwin, 2019. "Value-at-Risk and Models of Dependence in the U.S. Federal Crop Insurance Program," JRFM, MDPI, vol. 12(2), pages 1-21, April.
    6. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    7. Lei, Lei & Peng, Yijie & Fu, Michael C. & Hu, Jian-Qiang, 2023. "Copula sensitivity analysis for portfolio credit derivatives," European Journal of Operational Research, Elsevier, vol. 308(1), pages 455-466.
    8. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    9. Lin, Saiyan & Chen, Rongda & Lv, Zhihong & Zhou, Tianqing & Jin, Chenglu, 2019. "Integrated measurement of liquidity risk and market risk of company bonds based on the optimal Copula model," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    10. Krupskii, Pavel & Joe, Harry, 2020. "Flexible copula models with dynamic dependence and application to financial data," Econometrics and Statistics, Elsevier, vol. 16(C), pages 148-167.

  94. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.

    Cited by:

    1. Leroi RAPUTSOANE, 2016. "Real Effective Exchange Rates Comovements and the South African Currency," Journal of Economics Library, KSP Journals, vol. 3(1), pages 57-68, March.
    2. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    3. Anwer, Zaheer & Naeem, Muhammad Abubakr & Hassan, M. Kabir & Karim, Sitara, 2022. "Asymmetric connectedness across Asia-Pacific currencies: Evidence from time-frequency domain analysis," Finance Research Letters, Elsevier, vol. 47(PB).
    4. de Truchis, Gilles & Dell’Eva, Cyril & Keddad, Benjamin, 2017. "On exchange rate comovements: New evidence from a Taylor rule fundamentals model with adaptive learning," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 82-98.
    5. Boakye, Robert Owusu & Mensah, Lord Kwaku & Kang, Sang Hoon & Osei, Kofi Acheampong, 2023. "Foreign exchange market return spillovers and connectedness among African countries," International Review of Financial Analysis, Elsevier, vol. 86(C).
    6. Simona Moagăr-Poladian & Dorina Clichici & Cristian-Valeriu Stanciu, 2019. "The Comovement of Exchange Rates and Stock Markets in Central and Eastern Europe," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    7. Değerli, Ahmet & Fendoğlu, Salih, 2015. "Reserve option mechanism as a stabilizing policy tool: Evidence from exchange rate expectations," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 166-179.
    8. Ain Shahrier, Nur, 2022. "Contagion effects in ASEAN-5 exchange rates during the Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    9. Marco Tronzano, 2020. "Safe-Haven Assets, Financial Crises, and Macroeconomic Variables: Evidence from the Last Two Decades (2000–2018)," JRFM, MDPI, vol. 13(3), pages 1-21, February.
    10. Kim, In Joon & Kim, So Jung & Yoon, Sun-Joong, 2014. "A dark side of international capital market integration: Domestic investors' view," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 238-256.
    11. Albulescu, Claudiu Tiberiu & Aubin, Christian & Goyeau, Daniel & Tiwari, Aviral Kumar, 2018. "Extreme co-movements and dependencies among major international exchange rates: A copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 56-69.
    12. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.
    13. Antonio Portugal Duarte & Nuno Baetas da Silva, 2022. "Exchange Rate Synchronization for a Set of Currencies from Different Monetary Areas," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(2), pages 163-189, June.
    14. Krapl, Alain A., 2020. "The time-varying diversifiability of corporate foreign exchange exposure," Journal of Corporate Finance, Elsevier, vol. 65(C).
    15. Fuinhas, José Alberto & Marques, António Cardoso & Nogueira, David Coito, 2014. "Análise VAR dos índices bolsistas SP500, FTSE100, PSI20, HSI e IBOVESPA [Integration of the indexes SP500, FTSE100, PSI20, HSI and IBOVESPA: A VAR approach]," MPRA Paper 62092, University Library of Munich, Germany, revised 10 Feb 2015.
    16. Kim, Bong-Han & Kim, Hyeongwoo & Lee, Bong-Soo, 2015. "Spillover effects of the U.S. financial crisis on financial markets in emerging Asian countries," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 192-210.
    17. Siaw Frimpong, 2022. "On the Macroeconomic Conditions of West African Economies to External Uncertainty Shocks," Risks, MDPI, vol. 10(7), pages 1-27, July.
    18. Sevda Kuşkaya & Nurhan Toğuç & Faik Bilgili, 2022. "Wavelet coherence analysis and exchange rate movements," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4675-4692, December.
    19. Szafranek, Karol, 2021. "Disentangling the sources of inflation synchronization. Evidence from a large panel dataset," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 229-245.
    20. Gu, Huaying & Liu, Zhixue & Weng, Yingliang, 2017. "Time-varying correlations in global real estate markets: A multivariate GARCH with spatial effects approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 460-472.
    21. Costas Karfakis & Theodore Panagiotidis, 2015. "The effects of global monetary policy and Greek debt crisis on the dynamic conditional correlations of currency markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 795-811, November.
    22. Peterson Owusu Junior & Anokye M. Adam & George Tweneboah, 2017. "Co-movement of real exchange rates in the West African Monetary Zone," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1351807-135, January.
    23. Owusu Junior, Peterson & Tweneboah, George, 2020. "Are there asymmetric linkages between African stocks and exchange rates?," Research in International Business and Finance, Elsevier, vol. 54(C).
    24. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    25. Tetsuji Tanaka & Jin Guo, 2020. "International price volatility transmission and structural change: a market connectivity analysis in the beef sector," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    26. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    27. El Abed, Riadh & Zardoub, Amna, 2017. "Time varying and asymmetric effect between sovereign credit market and financial market: The asymmetric DCC model," Economics Discussion Papers 2017-97, Kiel Institute for the World Economy (IfW Kiel).
    28. Guoli Mo & Chunzhi Tan & Weiguo Zhang & Xuezeng Yu, 2023. "Dynamic spatiotemporal correlation coefficient based on adaptive weight," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-43, December.
    29. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    30. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    31. Das, Suman & Roy, Saikat Sinha, 2023. "Following the leaders? A study of co-movement and volatility spillover in BRICS currencies," Economic Systems, Elsevier, vol. 47(2).
    32. Mo, Guoli & Tan, Chunzhi & Zhang, Weiguo & Liu, Fang, 2019. "International portfolio of stock indices with spatiotemporal correlations: Can investors still benefit from portfolio, when and where?," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 168-183.
    33. Fink, Fabian & Frei, Lukas & Gloede, Oliver, 2022. "Global risk sentiment and the Swiss franc: A time-varying daily factor decomposition model," Journal of International Money and Finance, Elsevier, vol. 122(C).
    34. Wang, Xiangning & Huang, Qian & Zhang, Shuguang, 2023. "Effects of macroeconomic factors on stock prices for BRICS using the variational mode decomposition and quantile method," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    35. Feng, Yun & Yang, Jie & Huang, Qian, 2023. "Multiscale correlation analysis of Sino-US corn futures markets and the impact of international crude oil price: A new perspective from the multifractal method," Finance Research Letters, Elsevier, vol. 53(C).
    36. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    37. Jung-Bin Su & Jui-Cheng Hung, 2018. "The Value-At-Risk Estimate of Stock and Currency-Stock Portfolios’ Returns," Risks, MDPI, vol. 6(4), pages 1-42, November.
    38. Sriananthakumar, Sivagowry & Narayan, Seema, 2015. "Are prolonged conflict and tension deterrents for stock market integration? The case of Sri Lanka," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 504-520.
    39. Li, Jingwen & Wang, Yue & Song, Yubing & Su, Chi Wei, 2023. "How resistant is gold to stress? New evidence from global supply chain," Resources Policy, Elsevier, vol. 85(PB).
    40. Mo, Guoli & Zhang, Weiguo & Tan, Chunzhi & Liu, Xing, 2022. "Predicting the portfolio risk of high-dimensional international stock indices with dynamic spatial dependence," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    41. Jianxu Liu & Mengjiao Wang & Songsak Sriboonchitta, 2019. "Examining the Interdependence between the Exchange Rates of China and ASEAN Countries: A Canonical Vine Copula Approach," Sustainability, MDPI, vol. 11(19), pages 1-20, October.
    42. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "The impact of Euro through time: Exchange rate dynamics under different regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1375-1408, January.
    43. Prince Osei Mensah & Anokye M. Adam, 2020. "Copula-Based Assessment of Co-Movement and Tail Dependence Structure Among Major Trading Foreign Currencies in Ghana," Risks, MDPI, vol. 8(2), pages 1-20, June.
    44. Dr. Fabian Fink & Dr. Lukas Frei & Dr. Oliver Gloede, 2020. "Short-term determinants of bilateral exchange rates: A decomposition model for the Swiss franc," Working Papers 2020-21, Swiss National Bank.
    45. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    46. Mészáros Mercédesz & Kiss Gábor Dávid, 2020. "Spillover effects of unconventional monetary policy on capital markets in the shadow of the Eurozone: A sample of non-Eurozone countries," Review of Economic Perspectives, Sciendo, vol. 20(2), pages 171-195, June.
    47. Saba Qureshi & Muhammad Aftab, 2023. "Exchange Rate Interdependence in ASEAN Markets: A Wavelet Analysis," Global Business Review, International Management Institute, vol. 24(6), pages 1180-1204, December.
    48. Joscha Beckmann & Dionysius Glycopantis & Keith Pilbeam, 2018. "The dollar–euro exchange rate and monetary fundamentals," Empirical Economics, Springer, vol. 54(4), pages 1389-1410, June.
    49. Kamaruzdin, Thaqif & Masih, Mansur, 2014. "An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches," MPRA Paper 60248, University Library of Munich, Germany.

  95. Chen, Wang & Hamori, Shigeyuki & Kinkyo, Takuji, 2014. "Macroeconomic impacts of oil prices and underlying financial shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 1-12.

    Cited by:

    1. Zouheir Ahmed Mighri & Majid Ibrahim Alsaggaf, 2019. "Asymmetric Threshold Cointegration and Nonlinear Adjustment between Oil Prices and Financial Stress," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 87-105.
    2. Armah, Mohammed & Amewu, Godfred, 2024. "Quantile dependence and asymmetric connectedness between global financial market stress and REIT returns: Evidence from the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    3. Jiang, Yong & Wang, Gang-Jin & Ma, Chaoqun & Yang, Xiaoguang, 2021. "Do credit conditions matter for the impact of oil price shocks on stock returns? Evidence from a structural threshold VAR model," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 1-15.
    4. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Naveed Raza & Syed Jawad Hussain Shahzad & Aviral Kumar Tiwari & Muhammad Shahbaz, 2016. "Asymmetric impact of gold, oil prices and their volatilities on stock prices of emerging markets," Post-Print hal-02013747, HAL.
    6. Rufei Zhang & Haizhen Zhang & Wang Gao & Ting Li & Shixiong Yang, 2022. "The Dynamic Effects of Oil Price Shocks on Exchange Rates—From a Time-Varying Perspective," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    7. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2017. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," MPRA Paper 80435, University Library of Munich, Germany.
    8. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    9. Ahmed H. Elsayed & Gareth Downing & Chi Keung Marco Lau & Xin Sheng, 2024. "Exploring the role of oil shocks on the financial stability of Gulf Cooperation Council countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1804-1819, April.
    10. Niaz Bashiri Behmiri, Maryam Ahmadi, Juha-Pekka Junttila, and Matteo Manera, 2021. "Financial Stress and Basis in Energy Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    11. Mohammad I. Elian & Khalid M. Kisswani, 2018. "Oil price changes and stock market returns: cointegration evidence from emerging market," Economic Change and Restructuring, Springer, vol. 51(4), pages 317-337, November.
    12. Maryam Ahmadi & Niaz Bashiri Behmiri & Matteo Manera, 2020. "The theory of storage in the crude oil futures market, the role of financial conditions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1160-1175, July.
    13. Wan, Jer-Yuh & Kao, Chung-Wei, 2015. "Interactions between oil and financial markets — Do conditions of financial stress matter?," Energy Economics, Elsevier, vol. 52(PA), pages 160-175.
    14. Yousaf, Imran & Arfaoui, Nadia & Gubareva, Mariya, 2024. "Spillovers and hedging effectiveness between oil and US equity sectors: Evidence from the COVID pre- and post-vaccination phases," Research in International Business and Finance, Elsevier, vol. 69(C).
    15. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    16. Yin, Libo & Nie, Jing & Han, Liyan, 2021. "Understanding cryptocurrency volatility: The role of oil market shocks," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 233-253.
    17. Gongyue Jiang & Gaoxiu Qiao & Lu Wang & Feng Ma, 2024. "Hybrid forecasting of crude oil volatility index: The cross‐market effects of stock market jumps," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2378-2398, September.
    18. Giray Gozgor & Ender Demir, 2017. "Excess stock returns, oil shocks, and policy uncertainty in the U.S," Economics Bulletin, AccessEcon, vol. 37(2), pages 741-755.
    19. Bei Zhang & Xiaoqing Ai & Xingming Fang & Shi Chen, 2022. "The Transmission Mechanisms and Impacts of Oil Price Fluctuations: Evidence from DSGE Model," Energies, MDPI, vol. 15(16), pages 1-20, August.
    20. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," MPRA Paper 80436, University Library of Munich, Germany.
    21. Gupta, Rangan & Kanda, Patrick & Tiwari, Aviral Kumar & Wohar, Mark E., 2019. "Time-varying predictability of oil market movements over a century of data: The role of US financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    22. Dagher, Leila & Hasanov, Fakhri, 2022. "Oil Market Shocks and Financial Instability in Asian Countries," MPRA Paper 116079, University Library of Munich, Germany.
    23. Onur POLAT, 2018. "The Interaction between Oil Price and Financial Stress: Evidence from the U.S. Data," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 3.
    24. Das, Debojyoti & Maitra, Debasish & Dutta, Anupam & Basu, Sankarshan, 2022. "Financial stress and crude oil implied volatility: New evidence from continuous wavelet transformation framework," Energy Economics, Elsevier, vol. 115(C).
    25. Chen, Louisa & Verousis, Thanos & Wang, Kai & Zhou, Zhiping, 2023. "Financial stress and commodity price volatility," Energy Economics, Elsevier, vol. 125(C).
    26. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    27. Chen, Wang & Hamori, Shigeyuki & Kinkyo, Takuji, 2019. "Complexity of financial stress spillovers: Asymmetry and interaction effects of institutional quality and foreign bank ownership," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 567-581.
    28. Carlos J. Rincon & Darko B. Vukovic, 2024. "Assessing the Impact of Federal Reserve Policies on Equity Market Valuations: An Instrumental Variables Approach," JRFM, MDPI, vol. 17(10), pages 1-36, September.
    29. Elsayed, Ahmed H. & Sohag, Kazi & Sousa, Ricardo M., 2024. "Oil shocks and financial stability in MENA countries," Resources Policy, Elsevier, vol. 89(C).
    30. Sohag, Kazi & Kalina, Irina & Elsayed, Ahmed H., 2023. "Financial stress in Russia: Exploring the impact of oil market shocks," Resources Policy, Elsevier, vol. 86(PB).
    31. Alexey Mikhaylov & Ishaq M. Bhatti & Hasan Dinçer & Serhat Yüksel, 2024. "Integrated decision recommendation system using iteration-enhanced collaborative filtering, golden cut bipolar for analyzing the risk-based oil market spillovers," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 305-338, January.
    32. Barrales-Ruiz, Jose & Mohammed, Mikidadu, 2021. "Financial regimes and oil prices," Resources Policy, Elsevier, vol. 74(C).
    33. Filippidis, Michail & Filis, George & Kizys, Renatas, 2020. "Oil price shocks and EMU sovereign yield spreads," Energy Economics, Elsevier, vol. 86(C).
    34. Hong Thai Le & Marta Disegna, 2018. "Responses of macroeconomy and stock markets to structural oil price shocks: New evidence from Asian oil refinery," BAFES Working Papers BAFES25, Department of Accounting, Finance & Economic, Bournemouth University.
    35. Singhal, Shelly & Ghosh, Sajal, 2016. "Returns and volatility linkages between international crude oil price, metal and other stock indices in India: Evidence from VAR-DCC-GARCH models," Resources Policy, Elsevier, vol. 50(C), pages 276-288.
    36. Liu, Zhenhua & Tseng, Hui-Kuan & Wu, Jy S. & Ding, Zhihua, 2020. "Implied volatility relationships between crude oil and the U.S. stock markets: Dynamic correlation and spillover effects," Resources Policy, Elsevier, vol. 66(C).
    37. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    38. Liang Wang & Tingjia Xu, 2022. "Bidirectional Risk Spillovers between Exchange Rate of Emerging Market Countries and International Crude Oil Price–Based on Time-varing Copula-CoVaR," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 383-414, January.
    39. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2023. "Does market sentiment and global uncertainties influence ESG-oil nexus? A time-frequency analysis," Resources Policy, Elsevier, vol. 86(PA).
    40. Hong, Yanran & Li, Pan & Wang, Lu & Zhang, Yaojie, 2023. "New evidence of extreme risk transmission between financial stress and international crude oil markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    41. Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
    42. Belhassine, Olfa, 2020. "Volatility spillovers and hedging effectiveness between the oil market and Eurozone sectors: A tale of two crises," Research in International Business and Finance, Elsevier, vol. 53(C).
    43. Debojyoti Das & Anupam Dutta & Rabin K. Jana & Indranil Ghosh, 2023. "The asymmetric impact of oil price uncertainty on emerging market financial stress: A quantile regression approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4299-4323, October.
    44. Li Ping & Li Jie & Zhang Ziyi, 2021. "The Dynamic Impact of Structural Oil Price Shocks on the Macroeconomy," Journal of Systems Science and Information, De Gruyter, vol. 9(5), pages 469-497, October.
    45. Zhishuang Zhu & Huaming Zhang & Gege Tao & Feng Yu, 2016. "Effects of gas pricing reform on China’s price level and total output," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 167-178, November.
    46. Nazlioglu, Saban & Soytas, Ugur & Gupta, Rangan, 2015. "Oil prices and financial stress: A volatility spillover analysis," Energy Policy, Elsevier, vol. 82(C), pages 278-288.
    47. Andrea Cipollini & Ieva Mikaliunaite, 2021. "Financial distress and real economic activity in Lithuania: a Granger causality test based on mixed-frequency VAR," Empirical Economics, Springer, vol. 61(2), pages 855-881, August.
    48. Priya, Pragati & Pal, Debdatta, 2024. "Does crude oil price volatility respond asymmetrically to financial shocks?," Resources Policy, Elsevier, vol. 92(C).
    49. Brahim Gaies, Khaled Guesmi, Thomas Porcher, Raphael Boroumand, 2020. "Financial instability and oil price fluctuations: evidence from oil exporting developing countries," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 17(1), pages 55-71, June.

  96. Nannan Yuan & Shigeyuki Hamori, 2014. "Crowding-out effects of affordable and unaffordable housing in China, 1999-2010," Applied Economics, Taylor & Francis Journals, vol. 46(35), pages 4318-4333, December.

    Cited by:

    1. Hongbo Wang & Dan Rickman, 2018. "Regional growth differences in China for 1995–2013: an empirical integrative analysis of their sources," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 99-117, January.
    2. Yang Hu & Rory Coulter, 2017. "Living space and psychological well-being in urban China: Differentiated relationships across socio-economic gradients," Environment and Planning A, , vol. 49(4), pages 911-929, April.
    3. Yi Wu & Yunong Li, 2018. "Impact of government intervention in the housing market: evidence from the housing purchase restriction policy in China," Applied Economics, Taylor & Francis Journals, vol. 50(6), pages 691-705, February.
    4. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.

  97. Go Tamakoshi & Shigeyuki Hamori, 2014. "Greek sovereign bond index, volatility, and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 687-697, October.

    Cited by:

    1. Valerio Filoso, Valerio & Panico, Carlo & Papagni, Erasmo & Francesco, Purificato & Vázquez Suarez, Marta, 2016. "Causes and timing of the European debt crisis: An econometric evaluation," MPRA Paper 75847, University Library of Munich, Germany.
    2. Kin-Boon Tang & Shao-Jye Wong & Shih-Kuei Lin & Szu-Lang Liao, 2020. "Excess volatility and market efficiency in government bond markets: the ASEAN-5 context," Journal of Asset Management, Palgrave Macmillan, vol. 21(2), pages 154-165, March.
    3. Tunio, Mohsin Waheed, 2023. "What Explains the Volatility in Pakistan’s Sovereign Bond Yields?," MPRA Paper 116030, University Library of Munich, Germany.
    4. Stolbov, Mikhail, 2014. "The causal linkages between sovereign CDS prices for the BRICS and major European economies," Economics Discussion Papers 2014-9, Kiel Institute for the World Economy (IfW Kiel).
    5. Cró, Susana & Martins, António Miguel, 2017. "Structural breaks in international tourism demand: Are they caused by crises or disasters?," Tourism Management, Elsevier, vol. 63(C), pages 3-9.
    6. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    7. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    8. Davide De Gaetano, 2018. "Forecast Combinations for Structural Breaks in Volatility: Evidence from BRICS Countries," JRFM, MDPI, vol. 11(4), pages 1-13, October.
    9. Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.
    10. Bhuyan, Rafiqul & Robbani, Mohammad G. & Talukdar, Bakhtear & Jain, Ajeet, 2016. "Information transmission and dynamics of stock price movements: An empirical analysis of BRICS and US stock markets," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 180-195.
    11. Ibhagui, Oyakhilome, 2018. "Interrelations among cross-currency basis swap spreads: Pre-and post-crisis analysis," MPRA Paper 89024, University Library of Munich, Germany.
    12. Mariagrazia Fallanca & Antonio Fabio Forgione & Edoardo Otranto, 2021. "Do the Determinants of Non-Performing Loans Have a Different Effect over Time? A Conditional Correlation Approach," JRFM, MDPI, vol. 14(1), pages 1-15, January.

  98. Takashi Miyazaki & Shigeyuki Hamori, 2014. "Cointegration with Regime Shift between Gold and Financial Variables," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 90-97, October.

    Cited by:

    1. Takashi Miyazaki & Shigeyuki Hamori, 2018. "The Determinants Of A Simultaneous Crash In Gold And Stock Markets: An Ordered Logit Approach," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-25, March.
    2. Massimo Guidolin & Francesco Melloni & Manuela Pedio, 2019. "A Markov Switching Cointegration Analysis of the CDS-Bond Basis Puzzle," BAFFI CAREFIN Working Papers 19121, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    4. Walid Bakry & Audil Rashid & Somar Al-Mohamad & Nasser El-Kanj, 2021. "Bitcoin and Portfolio Diversification: A Portfolio Optimization Approach," JRFM, MDPI, vol. 14(7), pages 1-24, June.
    5. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    6. T. Miyazaki & S. Hamori, 2016. "Asymmetric correlations in gold and other financial markets," Applied Economics, Taylor & Francis Journals, vol. 48(46), pages 4419-4425, October.

  99. Takeshi Inoue & Shigeyuki Hamori, 2013. "Financial permeation as a role of microfinance: has microfinance actually been a viable financial intermediary for helping the poor?," Applied Financial Economics, Taylor & Francis Journals, vol. 23(20), pages 1567-1578, October.

    Cited by:

    1. Md. Nur Alam Siddik & Tanveer Ahsan & Sajal Kabiraj, 2019. "Does Financial Permeation Promote Economic Growth? Some Econometric Evidence From Asian Countries," SAGE Open, , vol. 9(3), pages 21582440198, July.
    2. Madhu Sehrawat & A. K. Giri, 2018. "The impact of financial development, economic growth, income inequality on poverty: evidence from India," Empirical Economics, Springer, vol. 55(4), pages 1585-1602, December.
    3. Mushtaq, Rizwan & Bruneau, Catherine, 2019. "Microfinance, financial inclusion and ICT: Implications for poverty and inequality," Technology in Society, Elsevier, vol. 59(C).
    4. Kamel Bel hadj Miled & Jalel-Eddine Ben Rejeb, 2018. "Can Microfinance Help to Reduce Poverty? A Review of Evidence for Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 613-635, June.
    5. Samouel Beji, 2019. "Financial Openness and Income Inequality: Do Institutions matter for Africa?," Economics Bulletin, AccessEcon, vol. 39(1), pages 104-114.
    6. Inoue, Takeshi & Hamori, Shigeyuki, 2013. "Financial Permeation and Economic Growth: Evidence from Sub-Saharan Africa," MPRA Paper 53417, University Library of Munich, Germany.
    7. Chen, Rui & Hartarska, Valentina, 2018. "Are All Banking Crises the Same: Evidence from MFIs," 2018 Annual Meeting, August 5-7, Washington, D.C. 274227, Agricultural and Applied Economics Association.
    8. Md Nur Alam Siddik, 2021. "Does Financial Permeation Induce Economic Growth? Evidence from SAARC Countries," Global Business Review, International Management Institute, vol. 22(4), pages 893-905, August.

  100. Go Tamakoshi & Shigeyuki Hamori, 2013. "An asymmetric DCC analysis of correlations among bank CDS indices," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 475-481, March.

    Cited by:

    1. Xiao Jing Cai & Shuairu Tian & Shigeyuki Hamori, 2017. "Stock Market Integration in China: Evidence from the Asymmetric DCC Model and Copula Approach," Applied Economics and Finance, Redfame publishing, vol. 4(2), pages 1-10, March.

  101. Takashi Miyazaki & Shigeyuki Hamori, 2013. "Testing for causality between the gold return and stock market performance: evidence for ‘gold investment in case of emergency’," Applied Financial Economics, Taylor & Francis Journals, vol. 23(1), pages 27-40, January.

    Cited by:

    1. Choudhry, Taufiq & Hassan, Syed S. & Shabi, Sarosh, 2015. "Relationship between gold and stock markets during the global financial crisis: Evidence from nonlinear causality tests," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 247-256.
    2. Ihsan Erdem Kayral & Ahmed Jeribi & Sahar Loukil, 2023. "Are Bitcoin and Gold a Safe Haven during COVID-19 and the 2022 Russia–Ukraine War?," JRFM, MDPI, vol. 16(4), pages 1-22, April.
    3. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    4. Takashi Miyazaki & Shigeyuki Hamori, 2014. "Cointegration with Regime Shift between Gold and Financial Variables," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 90-97, October.
    5. Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir, 2018. "Dynamic return and volatility spillovers among S&P 500, crude oil and gold," Working Papers 15-46, Eastern Mediterranean University, Department of Economics.
    6. Takashi Miyazaki & Shigeyuki Hamori, 2018. "The Determinants Of A Simultaneous Crash In Gold And Stock Markets: An Ordered Logit Approach," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-25, March.
    7. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Oduyemi, Gabriel O., 2021. "How COVID-19 upturns the hedging potentials of gold against oil and stock markets risks: Nonlinear evidences through threshold regression and markov-regime switching models," Resources Policy, Elsevier, vol. 70(C).
    8. Depren, Özer & Kartal, Mustafa Tevfik & Kılıç Depren, Serpil, 2021. "Changes of gold prices in COVID-19 pandemic: Daily evidence from Turkey's monetary policy measures with selected determinants," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    9. Aamir Aijaz Syed & Muhammad Abdul Kamal, 2024. "Do cryptocurrency and commodities markets affect stock market performance in South Asia? An empirical investigation during the COVID-19 pandemic," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 27(4), pages 673-692.
    10. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    11. Bahmani-Oskooee, Mohsen & Ghodsi, Seyed Hesam & Hadzic, Muris, 2020. "Asymmetric causality between stock returns and usual hedges: An industry-level analysis," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    12. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    13. Han, Yingying & Gong, Pu & Zhou, Xiang, 2016. "Correlations and risk contagion between mixed assets and mixed-asset portfolio VaR measurements in a dynamic view: An application based on time varying copula models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 940-953.
    14. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    15. Osman Gulseven, 2020. "Turn-of-the Year Affect in Gold Prices: Decomposition Analysis," Papers 2003.11027, arXiv.org.
    16. Maghyereh, Aktham & Awartani, Basel & Virk, Nader S., 2022. "Asymmetric risk transmissions between oil, gold and US equities: Recent evidence from the realized variance of the futures prices," Resources Policy, Elsevier, vol. 79(C).
    17. Hatice Gaye Gencer & Zafer Musoglu, 2014. "Volatility Transmission and Spillovers among Gold, Bonds and Stocks: An Empirical Evidence from Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 705-713.
    18. T. Miyazaki & S. Hamori, 2016. "Asymmetric correlations in gold and other financial markets," Applied Economics, Taylor & Francis Journals, vol. 48(46), pages 4419-4425, October.
    19. Muhammad Aftab & Syed Zulfiqar Ali Shah & Izlin Ismail, 2019. "Does Gold Act as a Hedge or a Safe Haven against Equity and Currency in Asia?," Global Business Review, International Management Institute, vol. 20(1), pages 105-118, February.
    20. Lin, Ling & Kuang, Yuanpei & Jiang, Yong & Su, Xianfang, 2019. "Assessing risk contagion among the Brent crude oil market, London gold market and stock markets: Evidence based on a new wavelet decomposition approach," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    21. Maghyereh, Aktham I. & Awartani, Basel & Tziogkidis, Panagiotis, 2017. "Volatility spillovers and cross-hedging between gold, oil and equities: Evidence from the Gulf Cooperation Council countries," Energy Economics, Elsevier, vol. 68(C), pages 440-453.
    22. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.
    23. Yunus, Nafeesa, 2020. "Time-varying linkages among gold, stocks, bonds and real estate," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 165-185.

  102. G. Tamakoshi & S. Hamori, 2013. "Dynamic linkages among cross-currency swap markets under stress," Applied Economics Letters, Taylor & Francis Journals, vol. 20(4), pages 404-409, March.

    Cited by:

    1. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    2. Szafranek, Karol, 2021. "Evidence on time-varying inflation synchronization," Economic Modelling, Elsevier, vol. 94(C), pages 1-13.

  103. Go Tamakoshi & Shigeyuki Hamori, 2013. "Volatility and mean spillovers between sovereign and banking sector CDS markets: a note on the European sovereign debt crisis," Applied Economics Letters, Taylor & Francis Journals, vol. 20(3), pages 262-266, February.

    Cited by:

    1. Murad A.Bein & Gulcay TUNA, 2015. "Volatility Transmission and Dynamic Correlation Analysis between Developed and Emerging European Stock Markets during Sovereign Debt Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 61-80, June.
    2. Burkhard Raunig, 2018. "Economic Policy Uncertainty and the Volatility of Sovereign CDS Spreads," Working Papers 219, Oesterreichische Nationalbank (Austrian Central Bank).
    3. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Spillovers among CDS indexes in the US financial sector," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 104-113.
    4. Clancy, Daragh & Gabriele, Carmine & Žigraiová, Diana, 2022. "Sovereign bond market spillovers from crisis-time developments in Greece," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    5. Zhou, Zhongbao & Lin, Ling & Li, Shuxian, 2018. "International stock market contagion: A CEEMDAN wavelet analysis," Economic Modelling, Elsevier, vol. 72(C), pages 333-352.
    6. Papafilis, Michalis-Panayiotis & Psillaki, Maria & Margaritis, Dimitris, 2015. "Interdependence between Sovereign and Bank CDS Spreads in Eurozone during the European Debt Crisis - The PSI Effect," MPRA Paper 68037, University Library of Munich, Germany.
    7. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    8. Antonakakis, Nikolaos & Vergos, Konstantinos, 2012. "Sovereign Bond Yield Spillovers in the Euro Zone During the Financial and Debt Crisis," MPRA Paper 43284, University Library of Munich, Germany.
    9. Papafilis, Michalis-Panayiotis & Psillaki, Maria & Margaritis, Dimitris, 2020. "The effect of the PSI in the relationship between sovereign and bank credit risk: Evidence from the Euro Area," MPRA Paper 98182, University Library of Munich, Germany.
    10. Ahmad, Wasim & Sehgal, Sanjay & Bhanumurthy, N.R., 2013. "Eurozone crisis and BRIICKS stock markets: Contagion or market interdependence?," Economic Modelling, Elsevier, vol. 33(C), pages 209-225.
    11. Wasim Ahmad & N.R. Bhanumurthy & Sanjay Sehgal, 2014. "The Eurozone crisis and its contagion effects on the European stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 31(3), pages 325-352, July.
    12. Maria E. de Boyrie & Ivelina Pavlova, 2016. "Dynamic interdependence of sovereign credit default swaps in BRICS and MIST countries," Applied Economics, Taylor & Francis Journals, vol. 48(7), pages 563-575, February.
    13. Go Tamakoshi & Shigeyuki Hamori, 2014. "Causality-in-variance and causality-in-mean between the Greek sovereign bond yields and Southern European banking sector equity returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 627-642, October.
    14. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    15. Hassan, Kamrul & Hoque, Ariful & Gasbarro, Dominic, 2017. "Sovereign default risk linkage: Implication for portfolio diversification," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 1-16.
    16. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "On cross-currency transmissions between US dollar and euro LIBOR-OIS spreads," Research in International Business and Finance, Elsevier, vol. 30(C), pages 83-90.
    17. Apergis, Nicholas & Baruník, Jozef & Lau, Marco Chi Keung, 2017. "Good volatility, bad volatility: What drives the asymmetric connectedness of Australian electricity markets?," Energy Economics, Elsevier, vol. 66(C), pages 108-115.

  104. Guifu Chen & Shigeyuki Hamori, 2013. "Formal And Informal Employment And Income Differentials In Urban China," Journal of International Development, John Wiley & Sons, Ltd., vol. 25(7), pages 987-1004, October.

    Cited by:

    1. Mohamed Amara, 2016. "The linkages between formal and informal employment growth in Tunisia: a spatial simultaneous equations approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 203-227, January.
    2. Nie, Peng & Otterbach, Steffen & Sousa-Poza, Alfonso, 2015. "Long work hours and health in China," China Economic Review, Elsevier, vol. 33(C), pages 212-229.
    3. Kritkorn Nawakitphaitoon & Can Tang, 2021. "Nonstandard Employment and Job Satisfaction across Time in China: Evidence from the Chinese General Social Survey (2006–2012)," Work, Employment & Society, British Sociological Association, vol. 35(3), pages 411-431, June.
    4. Gengzhi Huang & Bowei Cai & Shuyi Liu & Desheng Xue, 2024. "Analysing the heterogeneity in working conditions of migrant informal workers in China: a test of the WIEGO model of informal employment," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. Almeida, Eloiza R.F. & Araújo, Veneziano & Gonçalves, Solange L., 2022. "Urban wage premium for women: evidence across the wage distribution," World Development, Elsevier, vol. 159(C).
    6. Rahul Menon, 2019. "Short-term contracts and their effect on wages in Indian regular wage employment," The Economic and Labour Relations Review, , vol. 30(1), pages 142-164, March.
    7. Asian Bank, 2018. "Asian Development Outlook (ADO) 2018: How Technology Affects Jobs," Working Papers id:12717, eSocialSciences.
    8. Feeny, Simon & Mishra, Ankita & Trinh, Trong-Anh & Ye, Longfeng & Zhu, Anna, 2021. "Early-Life exposure to rainfall shocks and gender gaps in employment: Findings from Vietnam," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 533-554.

  105. Nakajima, Tadahiro & Hamori, Shigeyuki, 2013. "Testing causal relationships between wholesale electricity prices and primary energy prices," Energy Policy, Elsevier, vol. 62(C), pages 869-877.

    Cited by:

    1. Tadahiro Nakajima & Yuki Toyoshima, 2019. "Measurement of Connectedness and Frequency Dynamics in Global Natural Gas Markets," Energies, MDPI, vol. 12(20), pages 1-15, October.
    2. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.
    3. Melanie Houllier & Lilian M. De Menezes & Michael Tamvakis, 2014. "Time Varying Long Run Dynamics And Convergence In The Uk Energy Market," EcoMod2014 6970, EcoMod.
    4. Tadahiro Nakajima & Yuki Toyoshima, 2020. "Examination of the Spillover Effects among Natural Gas and Wholesale Electricity Markets Using Their Futures with Different Maturities and Spot Prices," Energies, MDPI, vol. 13(7), pages 1-14, March.
    5. Xia, Tongshui & Ji, Qiang & Geng, Jiang-Bo, 2020. "Nonlinear dependence and information spillover between electricity and fuel source markets: New evidence from a multi-scale analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    6. Scarcioffolo, Alexandre R. & Etienne, Xiaoli, 2021. "Testing directional predictability between energy prices: A quantile-based analysis," Resources Policy, Elsevier, vol. 74(C).
    7. Uddin, Gazi Salah & Tang, Ou & Sahamkhadam, Maziar & Taghizadeh-Hesary, Farhad & Yahya, Muhammad & Cerin, Pontus & Rehme, Jakob, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
    8. Mao, Xuegeng & Yang, Albert C. & Peng, Chung-Kang & Shang, Pengjian, 2020. "Analysis of economic growth fluctuations based on EEMD and causal decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    9. Uribe, Jorge M. & Guillen, Montserrat & Mosquera-López, Stephania, 2018. "Uncovering the nonlinear predictive causality between natural gas and electricity prices," Energy Economics, Elsevier, vol. 74(C), pages 904-916.
    10. Uribe, Jorge M. & Mosquera-López, Stephania & Arenas, Oscar J., 2022. "Assessing the relationship between electricity and natural gas prices in European markets in times of distress," Energy Policy, Elsevier, vol. 166(C).
    11. de Menezes, Lilian M. & Houllier, Melanie A. & Tamvakis, Michael, 2016. "Time-varying convergence in European electricity spot markets and their association with carbon and fuel prices," Energy Policy, Elsevier, vol. 88(C), pages 613-627.
    12. Bouri, Elie & Awartani, Basel & Maghyereh, Aktham, 2016. "Crude oil prices and sectoral stock returns in Jordan around the Arab uprisings of 2010," Energy Economics, Elsevier, vol. 56(C), pages 205-214.
    13. Moon, Jongwoo & Jung, Tae Yong, 2020. "A critical review of Korea's long-term contract for renewable energy auctions: The relationship between the import price of liquefied natural gas and system marginal price," Utilities Policy, Elsevier, vol. 67(C).
    14. Bouri, Elie & Chen, Qian & Lien, Donald & Lv, Xin, 2017. "Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 34-48.
    15. Ohler, Adrienne & Mohammadi, Hassan & Loomis, David G., 2020. "Electricity restructuring and the relationship between fuel costs and electricity prices for industrial and residential customers," Energy Policy, Elsevier, vol. 142(C).
    16. Alexopoulos, Thomas A., 2017. "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, vol. 137(C), pages 219-233.
    17. Okhrin, Yarema & Uddin, Gazi Salah & Yahya, Muhammad, 2023. "Nonlinear and asymmetric interconnectedness of crude oil with financial and commodity markets," Energy Economics, Elsevier, vol. 125(C).
    18. Bhuyan, Rafiqul & Robbani, Mohammad G. & Talukdar, Bakhtear & Jain, Ajeet, 2016. "Information transmission and dynamics of stock price movements: An empirical analysis of BRICS and US stock markets," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 180-195.
    19. Abdurrahman Nazif ÇATIK, 2020. "A Time-varying VAR Investigation of the Relationship among Electricity, Fossil Fuel Prices and Exchange Rate in Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 60-77, September.

  106. Go Tamakoshi & Shigeyuki Hamori, 2013. "On the Time-varying Linkages among the London Interbank Offer Rates for Major European Currencies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(1), pages 46-53, January.

    Cited by:

    1. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 237-256.
    2. Claudiu Tiberiu Albulescu & Daniel Goyeau & Aviral Kumar Tiwari, 2015. "Contagion and Dynamic Correlation of the Main European Stock Index Futures Markets: A Time-frequency Approach," Post-Print hal-01376756, HAL.
    3. Pedro Pires Ribeiro & José Dias Curto, 2017. "Volatility spillover effects in interbank money markets," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 105-136, February.

  107. Yuki Toyoshima & Tadahiro Nakajima & Shigeyuki Hamori, 2013. "Crude oil hedging strategy: new evidence from the data of the financial crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(12), pages 1033-1041, June.

    Cited by:

    1. You‐How Go & Jia‐Jun Teo & Kam Fong Chan, 2023. "The effectiveness of crude oil futures hedging during infectious disease outbreaks in the 21st century," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1559-1575, November.
    2. Aleksander Olstad & George Filis & Stavros Degiannakis, 2021. "Oil and currency volatilities: Co‐movements and hedging opportunities," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2351-2374, April.
    3. Hussain Shahzad, Syed Jawad & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2020. "Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin," Economic Modelling, Elsevier, vol. 87(C), pages 212-224.
    4. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    5. Walid Mensi & Shawkat Hammoude & Seong-Min Yoon, 2014. "Structural Breaks, Dynamic Correlations, Volatility Transmission, and Hedging Strategies for International Petroleum Prices and U.S. Dollar Exchange Rate," Working Papers 884, Economic Research Forum, revised Dec 2014.
    6. Nikolaos A. Kyriazis, 2020. "Is Bitcoin Similar to Gold? An Integrated Overview of Empirical Findings," JRFM, MDPI, vol. 13(5), pages 1-19, May.
    7. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    8. You-How Go & Wee-Yeap Lau, 2019. "Palm oil spot-futures relation: Evidence from unrefined and refined products," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(3), pages 133-142.
    9. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    10. Reboredo, Juan C. & Ugando, Mikel, 2014. "US dollar exchange rate and food price dependence: Implications for portfolio risk management," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 72-89.
    11. Imran Yousaf & Shoaib Ali & Muhammad Naveed & Ifraz Adeel, 2021. "Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications," SAGE Open, , vol. 11(2), pages 21582440211, April.
    12. Wenming Shi & Kevin X. Li & Zhongzhi Yang & Ganggang Wang, 2017. "Time-varying copula models in the shipping derivatives market," Empirical Economics, Springer, vol. 53(3), pages 1039-1058, November.
    13. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.
    14. Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).

  108. Lu Yang & Shigeyuki Hamori, 2013. "EU Accession, Financial Integration, and Contagion Effects: Dynamic Correlation Analysis of CEEC-3 Bond Markets," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(2), pages 179-189, October.

    Cited by:

    1. Iwasaki, Ichiro, 2018. "International Presence of the Japanese Study of Russian and East European Economies," RRC Working Paper Series 74, Russian Research Center, Institute of Economic Research, Hitotsubashi University.
    2. Narcisa Kadlcakova & Lubos Komarek & Zlatuse Komarkova & Michal Hlavacek, 2013. "Identification of Asset Price Misalignments on Financial Markets With Extreme Value Theory," Working Papers 2013/14, Czech National Bank.
    3. Lu Yang & Jason Z. Ma & Shigeyuki Hamori, 2018. "Dependence Structures and Systemic Risk of Government Securities Markets in Central and Eastern Europe: A CoVaR-Copula Approach," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    4. Wei Zhou, 2017. "Dynamic and Asymmetric Contagion Reactions of Financial Markets During the Last Subprime Crisis," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 207-230, August.
    5. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.
    6. Yang, Lu & Hamori, Shigeyuki, 2014. "Dependence structure between CEEC-3 and German government securities markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 109-125.
    7. Yang, Lu & Hamori, Shigeyuki, 2015. "Interdependence between the bond markets of CEEC-3 and Germany: A wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 124-138.

  109. Yasunori Yoshizaki & Shigeyuki Hamori, 2013. "On the Influence of Oil Price Shocks on Economic Activity, Inflation, and Exchange Rates," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(2), pages 33-41, April.

    Cited by:

    1. Mirzosaid Sultonov, 2016. "Dynamic conditional correlation and causality relationship among foreign exchange, stock and commodity markets: Evidence from 2014 Russian financial crisis," Economics Bulletin, AccessEcon, vol. 36(2), pages 949-962.
    2. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    3. Mansur, Alfan, 2015. "The Endogeneity of Oil Price Shocks and Their Effects on Indonesia: A Structural Vector Autoregression Model," MPRA Paper 93627, University Library of Munich, Germany, revised 20 Dec 2015.
    4. Jin Shang & Shigeyuki Hamori, 2024. "The response of oil-importing and oil-exporting countries’ macroeconomic aggregates to crude oil price shocks: some international evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 933-980, December.
    5. Jabir Esmaeil & Husam Rjoub & Wing-Keung Wong, 2020. "Do Oil Price Shocks and Other Factors Create Bigger Impacts on Islamic Banks than Conventional Banks?," Energies, MDPI, vol. 13(12), pages 1-16, June.
    6. Chen, Wang & Hamori, Shigeyuki & Kinkyo, Takuji, 2014. "Macroeconomic impacts of oil prices and underlying financial shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 1-12.
    7. Jin Shang & Shigeyuki Hamori, 2020. "The Response of US Macroeconomic Aggregates to Price Shocks in Crude Oil vs. Natural Gas," Energies, MDPI, vol. 13(10), pages 1-17, May.

  110. Wanjun Yao & Tomoko Kinugasa & Shigeyuki Hamori, 2013. "An empirical analysis of the relationship between economic development and population growth in China," Applied Economics, Taylor & Francis Journals, vol. 45(33), pages 4651-4661, November.

    Cited by:

    1. Md. Saiful Islam & Saleh Saud Alsaif & Talal Alsaif, 2022. "Trade Openness, Government Consumption, and Economic Growth Nexus in Saudi Arabia: ARDL Cointegration Approach," SAGE Open, , vol. 12(2), pages 21582440221, May.
    2. Bakari, Sayef & Mabrouki, Mohamed & Othmani, Abdelhafidh, 2018. "The Six Linkages between Foreign Direct Investment, Domestic Investment, Exports, Imports, Labor Force and Economic Growth: New Empirical and Policy Analysis from Nigeria," MPRA Paper 88259, University Library of Munich, Germany.
    3. Md. Saiful Islam & Ibrahim A. Alhamad, 2023. "Do personal remittance outflows impede economic growth in Saudi Arabia? The role of trade, labor force, human, and physical capital," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    4. Wei-Bin Zhang, 2014. "Growth and inequality examined by integrating the Walrasian general equilibrium and neoclassical growth theories," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 7(1), pages 7-32, April.
    5. Aribah Aslam, 2020. "The hotly debate of human capital and economic growth: why institutions may matter?," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1351-1362, August.
    6. Supper Roland Okijie & Ubong Edem Effiong, 2021. "Ascertaining the Optimal Population Growth Threshold for Nigeria’s Economic Development," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(6), pages 43-50, June.
    7. Ajit Kumar Singh, 2021. "Population Growth and Economic Development: Theoretical Arguments and Empirical Findings— A Survey of Literature," Indian Journal of Human Development, , vol. 15(3), pages 486-502, December.
    8. Marinko Škare & Sanja Blaževic, 2015. "Population and Economic Growth: A Review Essay," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(40), pages 1036-1036, August.
    9. Chen Kong San & Lee Chin, 2023. "Impact of Public Debt on Economic Growth: A Quantile Regression Approach," South Asian Journal of Macroeconomics and Public Finance, , vol. 12(2), pages 250-278, December.
    10. Azra Khan & Sadia Safdar & Samina Bibi, 2021. "Fiscal Discretion And Aggregate Demand: A Case Study Of Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 10(2), pages 204-220.
    11. Meng, Xin, 2023. "China's 40 Years Demographic Dividend and Labor Supply: The Quantity Myth," IZA Discussion Papers 16207, Institute of Labor Economics (IZA).
    12. Zhang Wei-Bin, 2014. "Land Value and Rent Dynamics in an Integrated Walrasian General Equilibrium and Neoclassical Growth Theory," Scientific Annals of Economics and Business, Sciendo, vol. 61(2), pages 235-258, December.
    13. Mkadmi, Jamel Eddine & Bakari, Sayef & Msai, Achwak, 2021. "Assessing the Impact of Tax Policies on Economic Growth in Tunisia: New Empirical and Policy Analysis," MPRA Paper 109023, University Library of Munich, Germany.
    14. Tsangyao Chang & Hsiao-Ping Chu & Frederick W. Deale & Rangan Gupta & Stephen M. Miller, 2016. "The Relationship between Population Growth and Standard-of-Living Growth Over 1870-2013: Evidence from a Bootstrapped Panel Granger Causality Test," Working papers 2016-17, University of Connecticut, Department of Economics.
    15. Wei-Bin ZHANG, 2015. "Tourism, Trade And Wealth Accumulation With Endogenous Income And Wealth Distribution Among Countries," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 4(1), pages 1-1, January.
    16. Wei-Bin Zhang, 2014. "Capital and Knowledge: Integrating Arrow’s Learning-by-Doing, the Walrasian Equilibrium Theory and Neoclassical Growth Theory," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(2), pages 267-293, December.
    17. Wei-Bin Zhang, 2014. "Environmental Dynamics in an Integrated Walrasian-General Equilibrium and Neoclassical-Growth Theory," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(3), pages 51-80, September.
    18. Silvia London & Gastón Cayssials & Fernando Antonio Ignacio González, 2022. "Population growth and economic growth: a panel causality analysis," Asociación Argentina de Economía Política: Working Papers 4574, Asociación Argentina de Economía Política.
    19. Prof. Wei-Bin Zhang, 2015. "Economic Oscillations in a Multi-Country Growth Model with Free Trade and Tourism," Eurasian Business & Economics Journal, Eurasian Academy Of Sciences, vol. 2(2), pages 1-19, July.
    20. E. Wesley F. Peterson, 2017. "The Role of Population in Economic Growth," SAGE Open, , vol. 7(4), pages 21582440177, October.
    21. Tsangyao Chang & Hsiao-Ping Chu & Frederick W. Deale & Rangan Gupta & Stephen M. Miller, 2014. "The Relationship between Population Growth and Economic Growth Over 1870-2013: Evidence from a Bootstrapped Panel-Granger Causality Test," Working Papers 201431, University of Pretoria, Department of Economics.
    22. Fumitaka Furuoka, 2018. "Is population beneficial to economic growth? An empirical study of China," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 209-225, January.
    23. Zhang, W.-B., 2014. "Ethnic Human Capital Externalities and Inequality in a General Equilibrium Growth Model," Journal of the New Economic Association, New Economic Association, vol. 21(1), pages 33-54.

  111. Yasunori Yoshizaki & Yuki Toyoshima & Shigeyuki Haomori, 2013. "The causal relationships between sovereign CDS premiums for Japan and selected EU countries," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 742-747, May.

    Cited by:

    1. Stolbov, Mikhail, 2014. "The causal linkages between sovereign CDS prices for the BRICS and major European economies," Economics Discussion Papers 2014-9, Kiel Institute for the World Economy (IfW Kiel).
    2. Boonlert Jitmaneeroj & John Ogwang, 2016. "An Empirical Analysis of Sovereign Credit Risk Co-movement between Japan and ASEAN Countries," Journal of Economics and Behavioral Studies, AMH International, vol. 8(4), pages 6-16.

  112. Lu Yang & Shigeyuki Hamori, 2013. "Dependence structure among international stock markets: a GARCH--copula analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(23), pages 1805-1817, December.

    Cited by:

    1. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    2. Li, Songsong & Zhang, Weiqian & Zhang, Wei, 2023. "Dynamic time-frequency connectedness and risk spillover between geopolitical risks and natural resources," Resources Policy, Elsevier, vol. 82(C).
    3. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2017. "Time Varying Integration amongst the South Asian Equity Markets: An Empirical Study," Working papers of CATT hal-01885142, HAL.
    4. Syed Abul, Basher & Salem, Nechi & Hui, Zhu, 2014. "Dependence patterns across Gulf Arab stock markets: a copula approach," MPRA Paper 56566, University Library of Munich, Germany.
    5. Rehman, Mobeen Ur & Ahmad, Nasir & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2022. "Dependence dynamics of stock markets during COVID-19," Emerging Markets Review, Elsevier, vol. 51(PB).
    6. Yang, Lu & Cai, Xiao Jing & Li, Mengling & Hamori, Shigeyuki, 2015. "Modeling dependence structures among international stock markets: Evidence from hierarchical Archimedean copulas," Economic Modelling, Elsevier, vol. 51(C), pages 308-314.
    7. Phong Nguyen & Wei-han Liu, 2017. "Time-Varying Linkage of Possible Safe Haven Assets: A Cross-Market and Cross-asset Analysis," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 43-76, March.
    8. Sunil S. Poshakwale & Anandadeep Mandal, 2017. "Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 859-892, May.
    9. Tachibana, Minoru, 2018. "Relationship between stock and currency markets conditional on the US stock returns: A vine copula approach," Journal of Multinational Financial Management, Elsevier, vol. 46(C), pages 75-106.
    10. Mokni, Khaled & Mansouri, Faysal, 2017. "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 116-131.
    11. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2018. "Stock Market Integration Dynamics and its Determinants in the East Asian Economic Community Region," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 389-425, June.
    12. Yang, Lu & Hamori, Shigeyuki, 2014. "Dependence structure between CEEC-3 and German government securities markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 109-125.
    13. Bellenzier, Lucia & Vitting Andersen, Jørgen & Rotundo, Giulia, 2016. "Contagion in the world's stock exchanges seen as a set of coupled oscillators," Economic Modelling, Elsevier, vol. 59(C), pages 224-236.
    14. Guizhou Liu & Shigeyuki Hamori, 2020. "Can One Reinforce Investments in Renewable Energy Stock Indices with the ESG Index?," Energies, MDPI, vol. 13(5), pages 1-19, March.
    15. Maoguo Wu & Yanyuan Wang, 2018. "Risk Analysis of World Major Stock Index Before and After the 2008 Financial Crisis ¨C Based on GARCH-VaR Approach," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(2), pages 39-54, April.
    16. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    17. Pérez-Rodríguez, Jorge V. & Ledesma-Rodríguez, Francisco & Santana-Gallego, María, 2015. "Testing dependence between GDP and tourism's growth rates," Tourism Management, Elsevier, vol. 48(C), pages 268-282.
    18. Reboredo, Juan C. & Ugando, Mikel, 2014. "US dollar exchange rate and food price dependence: Implications for portfolio risk management," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 72-89.
    19. Boako, Gideon & Tiwari, Aviral Kumar & Ibrahim, Muazu & Ji, Qiang, 2019. "Analysing dynamic dependence between gold and stock returns: Evidence using stochastic and full-range tail dependence copula models," Finance Research Letters, Elsevier, vol. 31(C).
    20. Jorge V. Pérez-Rodríguez, 2020. "Another look at the implied and realised volatility relation: a copula-based approach," Risk Management, Palgrave Macmillan, vol. 22(1), pages 38-64, March.
    21. Prince Osei Mensah & Anokye M. Adam, 2020. "Copula-Based Assessment of Co-Movement and Tail Dependence Structure Among Major Trading Foreign Currencies in Ghana," Risks, MDPI, vol. 8(2), pages 1-20, June.

  113. Toyoshima, Yuki & Hamori, Shigeyuki, 2013. "Asymmetric dynamics in stock market correlations: Evidence from Japan and Singapore," Journal of Asian Economics, Elsevier, vol. 24(C), pages 117-123.

    Cited by:

    1. Seema Narayan, 2019. "The Influence of Domestic and Foreign Shocks on Portfolio Diversification Gains and the Associated Risks," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    2. Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
    3. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Kang, Sang Hoon, 2016. "Global financial crisis and spillover effects among the U.S. and BRICS stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 257-276.
    4. Linyu Cao & Ruili Sun & Tiefeng Ma & Conan Liu, 2023. "On Asymmetric Correlations and Their Applications in Financial Markets," JRFM, MDPI, vol. 16(3), pages 1-18, March.
    5. Payal Jain & Sanjay Sehgal, 2019. "An examination of return and volatility spillovers between mature equity markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 180-210, January.
    6. El Abed, Riadh & Zardoub, Amna, 2017. "Time varying and asymmetric effect between sovereign credit market and financial market: The asymmetric DCC model," Economics Discussion Papers 2017-97, Kiel Institute for the World Economy (IfW Kiel).
    7. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    8. Nianling Wang & Lijie Zhang & Zhuo Huang & Yong Li, 2021. "Asymmetric Correlations in Predicting Portfolio Returns," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 97-120, March.
    9. Jin Yong Yang & Sang-Heon Lee & In-Sung Yeo, 2017. "Long and Short-term Volatility Comovements in the East Asian Stock," Applied Economics and Finance, Redfame publishing, vol. 4(3), pages 14-29, May.
    10. Lu Yang & Shigeyuki Hamori, 2013. "EU Accession, Financial Integration, and Contagion Effects: Dynamic Correlation Analysis of CEEC-3 Bond Markets," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(2), pages 179-189, October.

  114. Go Tamakoshi & Shigeyuki Hamori, 2013. "An asymmetric dynamic conditional correlation analysis of linkages of European financial institutions during the Greek sovereign debt crisis," The European Journal of Finance, Taylor & Francis Journals, vol. 19(10), pages 939-950, November.

    Cited by:

    1. Murad A.Bein & Gulcay TUNA, 2015. "Volatility Transmission and Dynamic Correlation Analysis between Developed and Emerging European Stock Markets during Sovereign Debt Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 61-80, June.
    2. Oussama Kchaou & Makram Bellalah & Sofiane Tahi, 2022. "Transmission of the Greek crisis on the sovereign debt markets in the euro area," Annals of Operations Research, Springer, vol. 313(2), pages 1117-1139, June.
    3. Go Tamakoshi & Shigeyuki Hamori, 2013. "On the Time-varying Linkages among the London Interbank Offer Rates for Major European Currencies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(1), pages 46-53, January.
    4. Weibo Li & Wei Liu & Lei Wu & Xue Guo, 2021. "Risk spillover networks in financial system based on information theory," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.
    5. Kuruppuarachchi, Duminda & Premachandra, I.M. & Roberts, Helen, 2019. "A novel market efficiency index for energy futures and their term structure risk premiums," Energy Economics, Elsevier, vol. 77(C), pages 23-33.
    6. Tetsuji Tanaka & Jin Guo, 2020. "How does the self-sufficiency rate affect international price volatility transmissions in the wheat sector? Evidence from wheat-exporting countries," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    7. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.
    8. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    9. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.
    10. Handika, Rangga & Soepriyanto, Gatot & Havidz, Shinta Amalina Hazrati, 2019. "Are cryptocurrencies contagious to Asian financial markets?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 416-429.
    11. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    12. Bellenzier, Lucia & Vitting Andersen, Jørgen & Rotundo, Giulia, 2016. "Contagion in the world's stock exchanges seen as a set of coupled oscillators," Economic Modelling, Elsevier, vol. 59(C), pages 224-236.
    13. Costas Karfakis & Theodore Panagiotidis, 2015. "The effects of global monetary policy and Greek debt crisis on the dynamic conditional correlations of currency markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 795-811, November.
    14. Jin Guo & Tetsuji Tanaka, 2019. "Determinants of international price volatility transmissions: the role of self-sufficiency rates in wheat-importing countries," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-13, December.
    15. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt Crisis in Europe (2001-2015): A Network General Equilibrium GVAR approach," MPRA Paper 89998, University Library of Munich, Germany.
    16. Tetsuji Tanaka & Jin Guo, 2020. "International price volatility transmission and structural change: a market connectivity analysis in the beef sector," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    17. Anokye M. Adam & Kwabena Kyei & Simiso Moyo & Ryan Gill & Emmanuel N. Gyamfi, 2022. "Multifrequency network for SADC exchange rate markets using EEMD-based DCCA," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 145-166, January.
    18. Wang, Xiangning & Huang, Qian & Zhang, Shuguang, 2023. "Effects of macroeconomic factors on stock prices for BRICS using the variational mode decomposition and quantile method," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    19. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    20. Feng, Yun & Yang, Jie & Huang, Qian, 2023. "Multiscale correlation analysis of Sino-US corn futures markets and the impact of international crude oil price: A new perspective from the multifractal method," Finance Research Letters, Elsevier, vol. 53(C).
    21. Murad A. BEIN & Gulcay TUNA, 2016. "Comparing Spillover Effects Among Emerging Markets With A Higher (Lower) Share Of Commodity Exports: Evidence From The Two Major Crises," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 265-284.
    22. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: a network general equilibrium GVAR approach," LSE Research Online Documents on Economics 86865, London School of Economics and Political Science, LSE Library.
    23. Imran Yousaf & Shoaib Ali & Muhammad Naveed & Ifraz Adeel, 2021. "Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications," SAGE Open, , vol. 11(2), pages 21582440211, April.

  115. Yuki Toyoshima & Shigeyuki Hamori, 2012. "Panel cointegration analysis of co-movement between interest rate swap and treasury markets," Applied Economics Letters, Taylor & Francis Journals, vol. 19(15), pages 1483-1486, October.

    Cited by:

    1. Zhuang, Yangyang & Zhang, Ditian & Tang, Pan & Peng, Hongjuan, 2024. "Clustering effects and evolution of the global major 10-year government bond market structure: A network perspective," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).

  116. Toyoshima, Yuki & Tamakoshi, Go & Hamori, Shigeyuki, 2012. "Asymmetric dynamics in correlations of treasury and swap markets: Evidence from the US market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 381-394.

    Cited by:

    1. Toyoshima, Yuki & Hamori, Shigeyuki, 2013. "Asymmetric dynamics in stock market correlations: Evidence from Japan and Singapore," Journal of Asian Economics, Elsevier, vol. 24(C), pages 117-123.
    2. Go Tamakoshi & Shigeyuki Hamori, 2013. "On the Time-varying Linkages among the London Interbank Offer Rates for Major European Currencies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(1), pages 46-53, January.
    3. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    4. Roumpis, Efthymios & Syriopoulos, Theodore, 2014. "Dynamics and risk factors in hedge funds returns: Implications for portfolio construction and performance evaluation," The Journal of Economic Asymmetries, Elsevier, vol. 11(C), pages 58-77.
    5. El Abed, Riadh & Zardoub, Amna, 2017. "Time varying and asymmetric effect between sovereign credit market and financial market: The asymmetric DCC model," Economics Discussion Papers 2017-97, Kiel Institute for the World Economy (IfW Kiel).
    6. Anokye M. Adam & Kwabena Kyei & Simiso Moyo & Ryan Gill & Emmanuel N. Gyamfi, 2022. "Multifrequency network for SADC exchange rate markets using EEMD-based DCCA," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 145-166, January.
    7. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    8. Go Tamakoshi & Shigeyuki Hamori, 2013. "An asymmetric DCC analysis of correlations among bank CDS indices," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 475-481, March.
    9. Lu Yang & Shigeyuki Hamori, 2013. "EU Accession, Financial Integration, and Contagion Effects: Dynamic Correlation Analysis of CEEC-3 Bond Markets," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(2), pages 179-189, October.

  117. Shigeyuki Hamori & Yoshihiro Hashiguchi, 2012. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroskedasticity," Economics Bulletin, AccessEcon, vol. 32(3), pages 2353-2365.
    See citations under working paper version above.
  118. Go Tamakoshi & Shigeyuki Hamori, 2012. "Real Oil Prices, Real Economic Activity, Real Interest Rates, and the US Dollar: A Cointegration Analysis with Structural Breaks," Journal of Reviews on Global Economics, Lifescience Global, vol. 1, pages 41-46.

    Cited by:

    1. Takashi Miyazaki & Shigeyuki Hamori, 2014. "Cointegration with Regime Shift between Gold and Financial Variables," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 90-97, October.

  119. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.

    Cited by:

    1. Iman Adeinat & Naseem Al Rahahleh & Peihwang Wei, 2018. "Did crisis alter trading of two major oil futures markets?," Review of Derivatives Research, Springer, vol. 21(1), pages 45-61, April.
    2. Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
    3. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Kang, Sang Hoon, 2016. "Global financial crisis and spillover effects among the U.S. and BRICS stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 257-276.
    4. Yarovaya, Larisa & Lau, Marco Chi Keung, 2016. "Stock market comovements around the Global Financial Crisis: Evidence from the UK, BRICS and MIST markets," Research in International Business and Finance, Elsevier, vol. 37(C), pages 605-619.
    5. Narendar Rao & K. Reddy, 2015. "The impact of the global financial crisis on cross-border mergers and acquisitions: a continental and industry analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 309-341, December.
    6. Kotapati Srinivasa Reddy & Vinay Kumar Nangia & Rajat Agrawal, 2014. "The 2007–2008 Global Financial Crisis, and Cross-border Mergers and Acquisitions," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 6(3), pages 257-281, September.
    7. Gagan Sharma & Parthajit Kayal & Piyush Pandey, 2019. "Information Linkages Among BRICS Countries: Empirical Evidence from Implied Volatility Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 263-289, December.
    8. Moinak Maiti & Darko Vukovic & Yaroslav Vyklyuk & Zoran Grubisic, 2022. "BRICS Capital Markets Co-Movement Analysis and Forecasting," Risks, MDPI, vol. 10(5), pages 1-13, April.
    9. Payal Jain & Sanjay Sehgal, 2019. "An examination of return and volatility spillovers between mature equity markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 180-210, January.
    10. David Roubaud & Bouri Elie & Qiang Ji, 2018. "Dynamic network of implied volatility transmission among US equities, strategic commodities, and BRICS equities," Post-Print hal-02081506, HAL.
    11. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    12. Lu Yang & Shigeyuki Hamori, 2013. "Dependence structure among international stock markets: a GARCH--copula analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(23), pages 1805-1817, December.
    13. Liu, Jianjian & Wang, Shuhan & Xiang, Lijin & Ma, Shiqun & Xiao, Zumian, 2024. "Unveiling hidden connections: Spillover among BRICS' cryptocurrency-implied exchange rate discounts and US financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    14. Lumengo Bonga-Bonga, 2017. "Assessing the readiness of the BRICS grouping for mutually beneficial financial integration," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 204-219, November.
    15. Delcoure, Natalya (Natasha) & Singh, Harmeet, 2016. "BRIC or CBRI: It just doesn’t sound as sexy, does it?," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 230-239.
    16. Morema, Kgotso & Bonga-Bonga, Lumengo, 2020. "The impact of oil and gold price fluctuations on the South African equity market: Volatility spillovers and financial policy implications," Resources Policy, Elsevier, vol. 68(C).
    17. Kazi Sohag & Rogneda Vasilyeva & Alina Urazbaeva & Valentin Voytenkov, 2022. "Stock Market Synchronization: The Role of Geopolitical Risk," JRFM, MDPI, vol. 15(5), pages 1-15, April.
    18. Stolbov, Mikhail, 2014. "The causal linkages between sovereign CDS prices for the BRICS and major European economies," Economics Discussion Papers 2014-9, Kiel Institute for the World Economy (IfW Kiel).
    19. Abu Bakar, Norhidayah & Masih, Abul Mansur M., 2014. "The Dynamic Linkages between Islamic Index and the Major Stock Markets: New Evidence from Wavelet time-scale decomposition Analysis," MPRA Paper 56977, University Library of Munich, Germany.
    20. Zhang, Yulian & Hamori, Shigeyuki, 2022. "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 182-203.
    21. Bellenzier, Lucia & Vitting Andersen, Jørgen & Rotundo, Giulia, 2016. "Contagion in the world's stock exchanges seen as a set of coupled oscillators," Economic Modelling, Elsevier, vol. 59(C), pages 224-236.
    22. Reddy, Kotapati Srinivasa & Nangia, Vinay Kumar & Agrawal, Rajat, 2014. "The 2007-2008 global financial crisis, and cross-border mergers and acquisitions: A 26-nation exploratory study," MPRA Paper 60148, University Library of Munich, Germany.
    23. Tetsuji Tanaka & Jin Guo, 2020. "International price volatility transmission and structural change: a market connectivity analysis in the beef sector," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    24. McIver, Ron P. & Kang, Sang Hoon, 2020. "Financial crises and the dynamics of the spillovers between the U.S. and BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 54(C).
    25. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    26. Go Tamakoshi & Shigeyuki Hamori, 2014. "Causality-in-variance and causality-in-mean between the Greek sovereign bond yields and Southern European banking sector equity returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 627-642, October.
    27. Reddy, Kotapati Srinivasa, 2015. "The impact of the global financial crisis on border-crossing mergers and acquisitions: A continental/industry analysis," MPRA Paper 63563, University Library of Munich, Germany, revised 2015.
    28. Chin-Hong Puah & Rayenda Khresna Brahmana & Kai-Hung Wong, 2015. "Revisiting Stock Market Integration Pre-Post Subprime Mortgage Crisis: Insight From BRIC Countries," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 61, pages 120-130, August.
    29. Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    30. Gilenko, Evgenii & Fedorova, Elena, 2014. "Internal and external spillover effects for the BRIC countries: Multivariate GARCH-in-mean approach," Research in International Business and Finance, Elsevier, vol. 31(C), pages 32-45.
    31. Su, Xianfang, 2020. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    32. Bhuyan, Rafiqul & Robbani, Mohammad G. & Talukdar, Bakhtear & Jain, Ajeet, 2016. "Information transmission and dynamics of stock price movements: An empirical analysis of BRICS and US stock markets," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 180-195.
    33. Kang, Sang Hoon & Uddin, Gazi Salah & Troster, Victor & Yoon, Seong-Min, 2019. "Directional spillover effects between ASEAN and world stock markets," Journal of Multinational Financial Management, Elsevier, vol. 52.
    34. Morema, Kgotso & Bonga-Bonga, Lumengo, 2018. "The impact of oil and gold price fluctuations on the South African equity market: volatility spillovers and implications for portfolio management," MPRA Paper 87637, University Library of Munich, Germany.

  120. Tadahiro Nakajima & Shigeyuki Hamori, 2012. "Testing for Rational Bubbles in the Commodity Market," Accounting and Finance Research, Sciedu Press, vol. 1(2), pages 101-101, November.

    Cited by:

    1. Wang, Kai-Hua & Su, Chi-Wei & Tao, Ran & Hao, Lin-Na, 2019. "Are there periodically collapsing bubble behaviours in the global coffee market?," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 59(1), July.

  121. Go Tamakoshi & Shigeyuki Hamori, 2012. "Informational roles of commodity prices for monetary policy: evidence from the Euro area," Economics Bulletin, AccessEcon, vol. 32(2), pages 1282-1290.

    Cited by:

    1. Sara Boni & Massimiliano Caporin & Francesco Ravazzolo, 2024. "Nowcasting Inflation at Quantiles: Causality from Commodities," BEMPS - Bozen Economics & Management Paper Series BEMPS102, Faculty of Economics and Management at the Free University of Bozen.
    2. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.

  122. Takeshi Inoue & Shigeyuki Hamori, 2012. "How has financial deepening affected poverty reduction in India? Empirical analysis using state-level panel data," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 395-408, March.
    See citations under working paper version above.
  123. Takashi Miyazaki & Yuki Toyoshima & Shigeyuki Hamori, 2012. "Exploring the dynamic interdependence between gold and other financial markets," Economics Bulletin, AccessEcon, vol. 32(1), pages 37-50.

    Cited by:

    1. Choudhry, Taufiq & Hassan, Syed S. & Shabi, Sarosh, 2015. "Relationship between gold and stock markets during the global financial crisis: Evidence from nonlinear causality tests," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 247-256.
    2. Ayinde, Taofeek O. & Olaniran, Abeeb O. & Abolade, Onomeabure C. & Ogbonna, Ahamuefula Ephraim, 2023. "Technology shocks - Gold market connection: Is the effect episodic to business cycle behaviour?," Resources Policy, Elsevier, vol. 84(C).
    3. Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Post-Print hal-01817067, HAL.
    4. Refk Selmi & Walid Mensi & Shawkat Hammoudeh & Jamal Bouoiyour, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Post-Print hal-01879667, HAL.
    5. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Gold and exchange rates: Downside risk and hedging at different investment horizons," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 267-279.
    6. Chkili, Walid, 2016. "Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 22-34.
    7. Takashi Miyazaki & Shigeyuki Hamori, 2018. "The Determinants Of A Simultaneous Crash In Gold And Stock Markets: An Ordered Logit Approach," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-25, March.
    8. Muhammad Mansoor Baig & Muhammad Shahbaz & Muhammad Imran & Mehwish Jabbar & Qurat Ul Ain, 2013. "Relationship between Gold and Oil Prices and Stock Market Returns," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 5(5), pages 28-39, October.
    9. Chkili, Walid, 2015. "Gold-oil prices co-movements and portfolio diversification implications," MPRA Paper 68110, University Library of Munich, Germany.
    10. Mohamed Arbi Madani & Zied Ftiti, 2019. "The Generalisation of the DMCA Coefficient to Serve Distinguishing Between Hedge and Safe Haven Capabilities of the Gold," Papers 1912.12590, arXiv.org.
    11. Muhammad Shafiullah & Sajid M. Chaudhry & Muhammad Shahbaz & Juan C. Reboredo, 2021. "Quantile causality and dependence between crude oil and precious metal prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6264-6280, October.
    12. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    13. S. Maria Immanuvel & D. Lazar, 2023. "Does Information Spillover and Leverage Effect Exist in World Gold Markets?," Global Business Review, International Management Institute, vol. 24(3), pages 475-487, June.
    14. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    15. Mohamed Arbi Madani & Zied Ftiti, 2022. "Is gold a hedge or safe haven against oil and currency market movements? A revisit using multifractal approach," Annals of Operations Research, Springer, vol. 313(1), pages 367-400, June.
    16. Reboredo, Juan C., 2013. "Is gold a safe haven or a hedge for the US dollar? Implications for risk management," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2665-2676.
    17. Ali, Sajid & Raza, Naveed & Vinh Vo, Xuan & Le, Van, 2022. "Modelling the joint dynamics of financial assets using MGARCH family models: Insights into hedging and diversification strategies," Resources Policy, Elsevier, vol. 78(C).
    18. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Can gold hedge and preserve value when the US dollar depreciates?," Economic Modelling, Elsevier, vol. 39(C), pages 168-173.
    19. Nguyen, Quynh Nga & Bedoui, Rihab & Majdoub, Najemeddine & Guesmi, Khaled & Chevallier, Julien, 2020. "Hedging and safe-haven characteristics of Gold against currencies: An investigation based on multivariate dynamic copula theory," Resources Policy, Elsevier, vol. 68(C).
    20. Roman Mestre, 2019. "Time-Frequency Multi-Betas Model-An Application with Gold and Oil -," Cahiers de recherche 19-05, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    21. T. Miyazaki & S. Hamori, 2016. "Asymmetric correlations in gold and other financial markets," Applied Economics, Taylor & Francis Journals, vol. 48(46), pages 4419-4425, October.
    22. Walid Chkili, 2015. "Gold–oil prices co-movements and portfolio diversification implications," Economics Bulletin, AccessEcon, vol. 35(4), pages 2832-2845.

  124. Yoshihiro Hashiguchi & Shigeyuki Hamori, 2012. "The sustainability of trade balances in sub-Saharan Africa: panel cointegration tests with cross-section dependence," Applied Economics Letters, Taylor & Francis Journals, vol. 19(2), pages 161-165, February.
    See citations under working paper version above.
  125. Yuki Toyoshima & Shigeyuki Hamori, 2012. "Volatility transmission of swap spreads among the US, Japan and the UK: a cross-correlation function approach," Applied Financial Economics, Taylor & Francis Journals, vol. 22(11), pages 849-862, June.

    Cited by:

    1. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    2. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.

  126. Go Tamakoshi & Yuki Toyoshima & Shigeyuki Hamori, 2012. "A dynamic conditional correlation analysis of European stock markets from the perspective of the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 32(1), pages 437-448.

    Cited by:

    1. Irfan Akbar Kazi & Mohamed Mehanaoui & Farhan Akbar, 2014. "The shift-contagion effect of global financial crisis and the European debt crisis on OECD Countries," Working Papers 2014-128, Department of Research, Ipag Business School.
    2. Irfan Akbar Kazi & Suzanne Salloy, 2013. "Contagion effect due to Lehman Brothers’ bankruptcy and the global financial crisis - From the perspective of the Credit Default Swaps’ G14 dealers," Working Papers hal-04141216, HAL.
    3. Zhou, Zhongbao & Lin, Ling & Li, Shuxian, 2018. "International stock market contagion: A CEEMDAN wavelet analysis," Economic Modelling, Elsevier, vol. 72(C), pages 333-352.
    4. Irfan Akbar Kazi & Suzanne Salloy, 2013. "Contagion effect due to Lehman Brothers’ bankruptcy and the global financial crisis - From the perspective of the Credit Default Swaps’ G14 dealers," EconomiX Working Papers 2013-6, University of Paris Nanterre, EconomiX.
    5. Suzanne Salloy & Irfan Akbar Kazi, 2013. "Contagion effect due to Lehman Brothers’ bankruptcy and the global financial crisis: From the perspective of the Credit Default Swaps’ G14 dealers," Erudite Working Paper 2013-02, Erudite.
    6. Costas Karfakis & Theodore Panagiotidis, 2015. "The effects of global monetary policy and Greek debt crisis on the dynamic conditional correlations of currency markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 795-811, November.
    7. Irfan Akbar Kazi & Suzanne Salloy, 2014. "Dynamics in the correlations of the Credit Default Swaps’ G14 dealers: Are there any contagion effects due to Lehman Brothers’ bankruptcy and the global financial crisis?," Working Papers 2014-237, Department of Research, Ipag Business School.
    8. Claudiu Tiberiu Albulescu & Daniel Goyeau & Aviral Kumar Tiwari, 2017. "Co-movements and contagion between international stock index futures markets," Empirical Economics, Springer, vol. 52(4), pages 1529-1568, June.
    9. Irfan Akbar Kazi & Hakimzadi Wagan, 2014. "Are emerging markets exposed to contagion from U.S.: Evidence from stock and sovereign bond markets," Working Papers 2014-58, Department of Research, Ipag Business School.
    10. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

  127. Hamori, Shigeyuki & Hashiguchi, Yoshihiro, 2012. "The effect of financial deepening on inequality: Some international evidence," Journal of Asian Economics, Elsevier, vol. 23(4), pages 353-359.

    Cited by:

    1. Philipp Heimberger, 2019. "Beeinflusst die ökonomische Globalisierung die Einkommensungleichheit? Eine Meta-Analyse," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 45(4), pages 497-529.
    2. Muhammad, Shahbaz & Tiwari, Aviral & Reza, Sherafatian-Jahromi, 2012. "Financial Development and Income Inequality: Is there any Financial Kuznets curve in Iran?," MPRA Paper 40899, University Library of Munich, Germany, revised 26 Aug 2012.
    3. Sudeshna Ghosh, 2020. "Impact of economic growth volatility on income inequality: ASEAN experience," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 807-850, June.
    4. Boukraine, Wissem, 2020. "The finance-inequality nexus in the BRICS countries: evidence from an ARDL bound testing approach," MPRA Paper 101976, University Library of Munich, Germany.
    5. Bolarinwa, Segun Thompson & Akinlo, Anthony Enisan, 2021. "Is there a nonlinear relationship between financial development and income inequality in Africa? Evidence from dynamic panel threshold," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    6. Irwan Trinugroho & Agusman Agusman & Moch Doddy Ariefianto & Darsono Darsono & Amine Tarazi, 2015. "Determinants of Cross Regional Disparity in Financial Deepening: Evidence from Indonesian provinces," Working Papers hal-01114255, HAL.
    7. de Haan, Jakob & Sturm, Jan-Egbert, 2017. "Finance and income inequality: A review and new evidence," European Journal of Political Economy, Elsevier, vol. 50(C), pages 171-195.
    8. Salwa Trabelsi, 2019. "The governance threshold effect on the relationship between public education financing and income inequality," Economics Bulletin, AccessEcon, vol. 39(2), pages 1057-1075.
    9. Sugiyanto Catur & Yolanda Zefania, 2020. "The Effect of Financial Deepening on Economic Growth, Inequality, and Poverty: Evidence from 73 Countries," South East European Journal of Economics and Business, Sciendo, vol. 15(2), pages 15-27, December.
    10. Vanessa S. Tchamyou & Danny Cassimon & Guido Erreygers, 2018. "Inequality, ICT and Financial Access in Africa," Working Papers 2 4006, Office Of The Chief Economist, Development Bank of Nigeria.
    11. Jelson Serafim, 2021. "Financial deepening, Stock market, Inequality and Poverty: Some African Evidence," Working Papers REM 2021/0177, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    12. Li, Xiang & Su, Dan, 2020. "Capital account liberalisation does worsen income inequality," IWH Discussion Papers 7/2020, Halle Institute for Economic Research (IWH).
    13. Sin-Yu Ho & Bernard Njindan Iyke, 2018. "Finance-growth-poverty nexus: a re-assessment of the trickle-down hypothesis in China," Economic Change and Restructuring, Springer, vol. 51(3), pages 221-247, August.
    14. Philipp Heimberger, 2019. "Does Economic Globalisation Affect Income Inequality? A Meta-analysis," wiiw Working Papers 165, The Vienna Institute for International Economic Studies, wiiw.
    15. de Moraes, Claudio Oliveira & Roquete, Raphael Moses & Gawryszewski, Gustavo, 2023. "Who needs cash? Digital finance and income inequality," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 84-93.
    16. Yousef Makhlouf & Neil M. Kellard & Dmitri V. Vinogradov, 2020. "Finance‐Inequality Nexus: The Long And The Short Of It," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1977-1994, October.
    17. Chrysovalantis Amountzias, 2024. "Market power and income disparities: How can firms influence the gap between capital and labor earnings," Bulletin of Economic Research, Wiley Blackwell, vol. 76(3), pages 861-888, July.
    18. Akisik, Orhan & Gal, Graham, 2023. "IFRS, financial development and income inequality: An empirical study using mediation analysis," Economic Systems, Elsevier, vol. 47(2).
    19. Ho, Sin-Yu & Njindan Iyke, Bernard, 2017. "Does Financial Development Lead to Poverty Reduction in China? Time Series Evidence," MPRA Paper 78922, University Library of Munich, Germany.
    20. Günay ÖZCAN, 2020. "Financial development and income inequality: An empirical analysis on the emerging market economies," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(624), A), pages 85-96, Autumn.
    21. Blau, Benjamin M., 2018. "Income inequality, poverty, and the liquidity of stock markets," Journal of Development Economics, Elsevier, vol. 130(C), pages 113-126.
    22. Gravina, Antonio Francesco & Lanzafame, Matteo, 2021. "Finance, globalisation, technology and inequality: Do nonlinearities matter?," Economic Modelling, Elsevier, vol. 96(C), pages 96-110.
    23. Adugna, Hailu, 2024. "Fintech dividend: How would digital financial services impact income inequality across countries?," Technology in Society, Elsevier, vol. 77(C).
    24. Das, Monica & Basu, Sudip R., 2023. "Inclusive bank based financial development in countries with special needs: A semiparametric analysis," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 740-753.
    25. Kebede, Jeleta & Naranpanawa, Athula & Selvanathan, Saroja, 2023. "Financial inclusion and income inequality nexus: A case of Africa," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 539-557.
    26. Zare , Roohollah, 2019. "Globalization and Income Inequality: Does the Level of Financial Development Matter?," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(2), pages 159-175, April.
    27. Kamel Bel hadj Miled & Jalel-Eddine Ben Rejeb, 2018. "Can Microfinance Help to Reduce Poverty? A Review of Evidence for Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 613-635, June.
    28. Ongena, Steven & Delis, Manthos & Fringuellotti, Fulvia, 2019. "Credit and Income," CEPR Discussion Papers 13468, C.E.P.R. Discussion Papers.
    29. Maosheng Ran & Liang Chen & Wanli Li, 2020. "Financial Deepening, Spatial Spillover, and Urban–Rural Income Disparity: Evidence from China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    30. Ghulam Rasool Madni & Awais Anwar, 2021. "Meditation for level of institutional quality to combat income inequality through financial development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2766-2775, April.
    31. Samouel Beji, 2019. "Financial Openness and Income Inequality: Do Institutions matter for Africa?," Economics Bulletin, AccessEcon, vol. 39(1), pages 104-114.
    32. Mesut Alper GEZER, 2018. "The relationship between financial deepening and economic growth: Bootstrap causality approach for the selected upper middle income countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(614), S), pages 95-112, Spring.
    33. Chu, Lan Khanh & Hoang, Dung Phuong, 2020. "How does economic complexity influence income inequality? New evidence from international data," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 44-57.
    34. Ricardo Barradas & Rishi Lakhani, 2024. "The finance–inequality nexus in the era of financialisation: Evidence for Portugal," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3510-3544, July.
    35. Thang Cong Nguyen & Tan Ngoc Vu & Duc Hong Vo & Dao Thi-Thieu Ha, 2019. "Financial Development and Income Inequality in Emerging Markets: A New Approach," JRFM, MDPI, vol. 12(4), pages 1-14, November.
    36. Kamel Bel Hadj Miled & Moheddine Younsi & Monia Landolsi, 2022. "Does microfinance program innovation reduce income inequality? Cross-country and panel data analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-15, December.
    37. Sturm, Jan-Egbert & De Haan, Jakob, 2016. "Finance and income inequality revisited," VfS Annual Conference 2016 (Augsburg): Demographic Change 145660, Verein für Socialpolitik / German Economic Association.
    38. Manthos D. Delis & Fulvia Fringuellotti & Steven Ongena, 2020. "Credit and Entrepreneurs’ Income," Staff Reports 929, Federal Reserve Bank of New York.
    39. Madhu Sehrawat & A. Giri, 2016. "Financial development, poverty and rural-urban income inequality: evidence from South Asian countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 577-590, March.
    40. Bahamonde, Hector & Trasberg, Mart, 2021. "Inclusive institutions, unequal outcomes: Democracy, state capacity, and income inequality," European Journal of Political Economy, Elsevier, vol. 70(C).
    41. Wang, Yueyue & Bai, Hengrui, 2023. "The impact and regional heterogeneity analysis of tourism development on urban-rural income gap," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1539-1548.
    42. Roya Taherifar & Mark J. Holmes & Gazi M. Hassan, 2023. "Does economic openness matter in the impact of financial development on income inequality?," Working Papers in Economics 23/04, University of Waikato.
    43. Prao Yao Séraphin & Kongoza Kouassi Cyrille, 2023. "Nonlinear Effect of Financial Development on Income Inequality: The Case of Ivory Coast," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(6), pages 1-57, February.
    44. Thornton, John & Tommaso, Caterina Di, 2020. "The long-run relationship between finance and income inequality: Evidence from panel data," Finance Research Letters, Elsevier, vol. 32(C).
    45. Mansor Ibrahim, 2018. "Finance And Inequality In Eight Asian Countries: Does Size Matter," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(1), pages 33-56, July.
    46. Passant M. B. Selim & Hasan Güngör, 2021. "Inequality and financial development: Evidence from selected MENA region countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2732-2747, April.
    47. Ọláyínká Oyèkọ́lá, 2021. "Finance and inequality in a panel of US States," Empirical Economics, Springer, vol. 61(5), pages 2739-2795, November.
    48. Yongfen Shi & Sudeshna Paul & Sudharshan Reddy Paramati, 2022. "The impact of financial deepening on income inequality: Empirical evidence from Australia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3564-3579, July.
    49. Armand Fouejieu & Ratna Sahay & Martin Cihak & Shiyuan Chen, 2020. "Financial inclusion and inequality: A cross-country analysis," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(8), pages 1018-1048, November.
    50. Ayesha Naz, 2023. "Linkages between different types of globalization and socio-economic variables: panel data analysis for 129 countries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-23, December.
    51. Nahid Farnaz, 2023. "Does Financial Development Relieve or Exacerbate Income Inequality? A Quantile Regression Approach," Economics Discussion Paper Series 2311, Economics, The University of Manchester.
    52. Xiang Li & Dan Su, 2021. "Does Capital Account Liberalization Affect Income Inequality?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 377-410, April.

  128. Zhang, Yu & Song, Junghyun & Hamori, Shigeyuki, 2011. "Impact of subsidy policies on diffusion of photovoltaic power generation," Energy Policy, Elsevier, vol. 39(4), pages 1958-1964, April.

    Cited by:

    1. Movilla, Santiago & Miguel, Luis J. & Blázquez, L. Felipe, 2013. "A system dynamics approach for the photovoltaic energy market in Spain¤," Energy Policy, Elsevier, vol. 60(C), pages 142-154.
    2. Takanobu Kosugi & Yoshiyuki Shimoda & Takayuki Tashiro, 2019. "Neighborhood influences on the diffusion of residential photovoltaic systems in Kyoto City, Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 477-505, October.
    3. Dong, Changgui & Wiser, Ryan & Rai, Varun, 2018. "Incentive pass-through for residential solar systems in California," Energy Economics, Elsevier, vol. 72(C), pages 154-165.
    4. Xin-gang, Zhao & Wei, Wang & Ling, Wu, 2021. "A dynamic analysis of research and development incentive on China's photovoltaic industry based on system dynamics model," Energy, Elsevier, vol. 233(C).
    5. Karakaya, Emrah & Nuur, Cali & Hidalgo, Antonio, 2016. "Business model challenge: Lessons from a local solar company," Renewable Energy, Elsevier, vol. 85(C), pages 1026-1035.
    6. Kahia, Montassar & Ben Aissa, Mohamed Safouane & kadria, Mohamed, 2014. "Do renewable energy policies promote economic growth? A nonparametric approach," MPRA Paper 80751, University Library of Munich, Germany.
    7. Johanna Fink, 2023. "Can the creation of separate bidding zones within countries create imbalances in PV uptake? Evidence from Sweden," Papers 2312.16161, arXiv.org.
    8. Juárez-Luna, David & Urdiales, Eduardo, 2021. "Participación de la capacidad fotovoltaica instalada en México: un análisis benchmarking [Share of installed photovoltaic capacity in Mexico: a benchmarking analysis]," MPRA Paper 114589, University Library of Munich, Germany.
    9. Cucchiella, Federica & D’Adamo, Idiano, 2012. "Feasibility study of developing photovoltaic power projects in Italy: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1562-1576.
    10. Coffman, Makena & Wee, Sherilyn & Bonham, Carl & Salim, Germaine, 2016. "A policy analysis of Hawaii's solar tax credit," Renewable Energy, Elsevier, vol. 85(C), pages 1036-1043.
    11. Liu, Dunnan & Liu, Mingguang & Xu, Erfeng & Pang, Bo & Guo, Xiaodan & Xiao, Bowen & Niu, Dongxiao, 2018. "Comprehensive effectiveness assessment of renewable energy generation policy: A partial equilibrium analysis in China," Energy Policy, Elsevier, vol. 115(C), pages 330-341.
    12. Xiaodan Guo & Dongxiao Niu & Bowen Xiao, 2016. "Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis," Energies, MDPI, vol. 9(5), pages 1-23, May.
    13. Ling Chu & Kenji Takeuchi, 2021. "The Non-operating Solar Projects: Examining the Impact of the Feed-in Tariff Amendment in Japan," Discussion Papers 2105, Graduate School of Economics, Kobe University.
    14. Karakaya, Emrah & Sriwannawit, Pranpreya, 2015. "Barriers to the adoption of photovoltaic systems: The state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 60-66.
    15. Elzbieta Rynska, 2022. "Review of PV Solar Energy Development 2011–2021 in Central European Countries," Energies, MDPI, vol. 15(21), pages 1-18, November.
    16. Zhang, Yanquan & Chang, Ruidong & Zuo, Jian & Shabunko, Veronika & Zheng, Xian, 2023. "Regional disparity of residential solar panel diffusion in Australia: The roles of socio-economic factors," Renewable Energy, Elsevier, vol. 206(C), pages 808-819.
    17. Yu-Ling Hsiao, Cody & Ai, Dan & Wei, Xinyang & Sheng, Ni, 2021. "The contagious effect of China’s energy policy on stock markets: The case of the solar photovoltaic industry," Renewable Energy, Elsevier, vol. 164(C), pages 74-86.
    18. Lei Li & Ting Chi & Meng Zhang & Shi Wang, 2016. "Multi-Layered Capital Subsidy Policy for the PV Industry in China Considering Regional Differences," Sustainability, MDPI, vol. 8(1), pages 1-14, January.
    19. Shuai Wang & Yao Li & Junjun Jia, 2022. "How to promote sustainable adoption of residential distributed photovoltaic generation in China? An employment of incentive and punitive policies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-26, February.
    20. Liu, Diyi & Qi, Suntong & Xu, Tiantong, 2023. "In the post-subsidy era: How to encourage mere consumers to become prosumers when subsidy reduced?," Energy Policy, Elsevier, vol. 174(C).
    21. Karakaya, Emrah, 2016. "Finite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?," Applied Energy, Elsevier, vol. 163(C), pages 464-475.
    22. Yuan, Chaoqing & Liu, Sifeng & Yang, Yingjie & Chen, Ding & Fang, Zhigeng & Shui, Lulu, 2014. "An analysis on investment policy effect of China’s photovoltaic industry based on feedback model," Applied Energy, Elsevier, vol. 135(C), pages 423-428.
    23. Jeon, Chanwoong & Lee, Jeongjin & Shin, Juneseuk, 2015. "Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case," Applied Energy, Elsevier, vol. 142(C), pages 33-43.
    24. Chowdhury, Sanjeeda & Sumita, Ushio & Islam, Ashraful & Bedja, Idriss, 2014. "Importance of policy for energy system transformation: Diffusion of PV technology in Japan and Germany," Energy Policy, Elsevier, vol. 68(C), pages 285-293.
    25. Chesser, Michael & Hanly, Jim & Cassells, Damien & Apergis, Nicholas, 2018. "The positive feedback cycle in the electricity market: Residential solar PV adoption, electricity demand and prices," Energy Policy, Elsevier, vol. 122(C), pages 36-44.
    26. Anna Créti & Jérôme Joaug, 2012. "Let the sun shine: Optimal deployment of photovoltaics in Germany," Working Papers hal-00751743, HAL.
    27. Mirzahosseini, Alireza Hajiseyed & Taheri, Taraneh, 2012. "Environmental, technical and financial feasibility study of solar power plants by RETScreen, according to the targeting of energy subsidies in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2806-2811.
    28. Yamashiro, Ririka & Mori, Akihisa, 2023. "Combined third-party ownership and aggregation business model for the adoption of rooftop solar PV–battery systems: Implications from the case of Miyakojima Island, Japan," Energy Policy, Elsevier, vol. 173(C).
    29. Zhou, Dequn & Chong, Zhaotian & Wang, Qunwei, 2020. "What is the future policy for photovoltaic power applications in China? Lessons from the past," Resources Policy, Elsevier, vol. 65(C).
    30. Karakaya, Emrah & Hidalgo, Antonio & Nuur, Cali, 2015. "Motivators for adoption of photovoltaic systems at grid parity: A case study from Southern Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1090-1098.
    31. Lan, Haifeng & Gou, Zhonghua & Yang, Linchuan, 2020. "House price premium associated with residential solar photovoltaics and the effect from feed-in tariffs: A case study of Southport in Queensland, Australia," Renewable Energy, Elsevier, vol. 161(C), pages 907-916.
    32. Anita M. Bunea & Pietro Manfredi & Pompeo Della Posta & Mariangela Guidolin, 2019. "What do adoption patterns of solar panels observed so far tell about governments' incentive? insight from diffusion models," Papers 1909.10017, arXiv.org.
    33. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M. & Truckell, Ian & Hart, Phil, 2021. "Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment," Energy Policy, Elsevier, vol. 148(PB).
    34. Iwona Zdonek & Anna Mularczyk & Marian Turek & Stanisław Tokarski, 2023. "Perception of Prosumer Photovoltaic Technology in Poland: Usability, Ease of Use, Attitudes, and Purchase Intentions," Energies, MDPI, vol. 16(12), pages 1-18, June.
    35. Morini, Mirko & Pinelli, Michele & Spina, Pier Ruggero & Venturini, Mauro, 2013. "Optimal allocation of thermal, electric and cooling loads among generation technologies in household applications," Applied Energy, Elsevier, vol. 112(C), pages 205-214.
    36. Chen, Zhisong & Su, Shong-Iee Ivan, 2014. "Photovoltaic supply chain coordination with strategic consumers in China," Renewable Energy, Elsevier, vol. 68(C), pages 236-244.
    37. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
    38. Lan, Haifeng & Gou, Zhonghua & Lu, Yi, 2021. "Machine learning approach to understand regional disparity of residential solar adoption in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    39. Shrimali, Gireesh & Agarwal, Navin & Donovan, Charles, 2020. "Drivers of solar deployment in India: A state-level econometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    40. Guo, Xiaodan & Guo, Xiaopeng, 2015. "China's photovoltaic power development under policy incentives: A system dynamics analysis," Energy, Elsevier, vol. 93(P1), pages 589-598.
    41. Tetiana Kurbatova & Iryna Sotnyk & Olha Prokopenko & Iryna Bashynska & Uliana Pysmenna, 2023. "Improving the Feed-in Tariff Policy for Renewable Energy Promotion in Ukraine’s Households," Energies, MDPI, vol. 16(19), pages 1-18, September.
    42. Jan Paul Baginski & Christoph Weber, "undated". "Coherent estimations for residential photovoltaic uptake in Germany including spatial spillover effects," EWL Working Papers 1902, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    43. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.
    44. Gui, Xuechen & Gou, Zhonghua, 2022. "Household energy technologies in New South Wales, Australia: Regional differences and renewables adoption rates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    45. Bunea, Anita M. & Della Posta, Pompeo & Guidolin, Mariangela & Manfredi, Piero, 2020. "What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    46. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.
    47. Collier, Samuel H.C. & House, Jo I. & Connor, Peter M. & Harris, Richard, 2023. "Distributed local energy: Assessing the determinants of domestic-scale solar photovoltaic uptake at the local level across England and Wales," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).

  129. Fengbao Yin & Shigeyuki Hamori, 2011. "Estimating the import demand function in the autoregressive distributed lag framework: The case of China," Economics Bulletin, AccessEcon, vol. 31(2), pages 1576-1591.

    Cited by:

    1. Vinh Nguyen Thi Thuy & Duong Trinh Thi Thuy, 2019. "The Impact of Exchange Rate Volatility on Exports in Vietnam: A Bounds Testing Approach," JRFM, MDPI, vol. 12(1), pages 1-14, January.
    2. Ertan Oktay & Giray Gozgor, 2013. "Estimation of disaggregated import demand functions for Turkey," Economics Bulletin, AccessEcon, vol. 33(1), pages 575-585.
    3. Jamilu SALIHU & Ummi Ibrahim Atah & Muhammad Ahmad Usman, 2024. "The Long-Run Bound Cointegration Influence of Unemployment Rate on the Nigerian Economic Growth," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(10), pages 261-271, October.
    4. Sadaf Majeed & Abdul Waheed, 2012. "Analyzing the Import Demand Function with Expenditure Components: Evidence from Pakistan," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(2), pages 245-259, November.
    5. Gozgor, Giray, 2014. "Aggregated and disaggregated import demand in China: An empirical study," Economic Modelling, Elsevier, vol. 43(C), pages 1-8.
    6. Muhammad Ahad & Adeel Ahmad Dar, 2018. "A Dynamic Relationship between Financial Development and Import Demand for Bangladesh: An Evidence from Combine Cointegration and Granger Causality Approach," Global Business Review, International Management Institute, vol. 19(3), pages 543-555, June.
    7. Ercan Yasar & Güray Akalin & Sinan Erdogan & Samuel Asumadu Sarkodie, 2022. "Trading Kuznets curve: empirical analysis for China," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 741-768, August.
    8. Francesco Aiello & Graziella Bonanno & Alessia Via, 2015. "Again on trade elasticities: evidence from a selected sample of countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 259-287, December.
    9. Bernhardt, Thomas, 2016. "South-South trade and South-North trade: which contributes more to development in Asia and South America? Insights from estimating income elasticities of import demand," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    10. Ngomba Bodi, Francis Ghislain, 2018. "Estimation des élasticités du commerce extérieur dans des économies en développement riches en ressources naturelles : le cas des pays de la CEMAC [Estimation of trade elasticities in resources ric," MPRA Paper 116378, University Library of Munich, Germany.
    11. Bernhardt, Thomas, 2014. "How promising is South-South trade as a contributor to economic development in Asia and South America? Insights from estimating income elasticities of import demand," MPRA Paper 56413, University Library of Munich, Germany.
    12. Francesco Aiello & Graziella Bonanno & Alessia Via, 2015. "New Evidence on Export Price Elasticity from China and Six OECD Countries," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(6), pages 56-78, November.
    13. Aiello, Francesco & Bonanno, Graziella & Via, Alessia, 2014. "Do export price elasticities support tensions in currency markets? Evidence from China and six OECD countries," MPRA Paper 56727, University Library of Munich, Germany.

  130. Shigeyuki Hamori & Naoko Hamori, 2011. "An empirical analysis of real exchange rate movements in the euro," Applied Economics, Taylor & Francis Journals, vol. 43(10), pages 1187-1191.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.
    2. Diana Barros, Aurora A.C. Teixeira, 2021. "The technology balance of payments and international competitiveness: a panel data analysis of southern European countries, 2000-2017," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 18(1), pages 105-136, June.
    3. Kia, Amir, 2013. "Determinants of the real exchange rate in a small open economy: Evidence from Canada," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 163-178.
    4. Chen, Chuanglian & Yao, Shujie & Ou, Jinghua, 2017. "Exchange rate dynamics in a Taylor rule framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 158-173.

  131. Go Tamakoshi & Shigeyuki Hamori, 2011. "Transmission of stock prices amongst European countries before and during the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 3339-3353.

    Cited by:

    1. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 237-256.
    2. Michael A. Goldstein & Joseph McCarthy & Alexei G. Orlov, 2019. "The Core, Periphery, and Beyond: Stock Market Comovements among EU and Non‐EU Countries," The Financial Review, Eastern Finance Association, vol. 54(1), pages 5-56, February.
    3. Loh, Lixia, 2013. "Co-movement of Asia-Pacific with European and US stock market returns: A cross-time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 1-13.
    4. Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.

  132. Kaoru Kawamoto & Shigeyuki Hamori, 2011. "Market efficiency among futures with different maturities: Evidence from the crude oil futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(5), pages 487-501, May.

    Cited by:

    1. Delphine Lautier & Franck Raynaud & Michel Robe, 2017. "Shocks propagation across the futures term structure : evidence from crude oil prices," Post-Print hal-01781765, HAL.
    2. Kuruppuarachchi, Duminda & Premachandra, I.M. & Roberts, Helen, 2019. "A novel market efficiency index for energy futures and their term structure risk premiums," Energy Economics, Elsevier, vol. 77(C), pages 23-33.
    3. Hammami Algia & Bouri Abdelfatteh, 2016. "The Volatility of Oil Prices: What Factors?," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 98-110, March.
    4. Delphine Lautier & Franck Raynaud & Michel Robe, 2017. "Information Flows across the Futures Term Structure: Evidence from Crude Oil Prices," Post-Print hal-01781761, HAL.
    5. Snaith, S & Kellard, NM & Ahmad, N, 2015. "Open outcry versus electronic trading: tests of market efficiency on crude palm oil futures," Essex Finance Centre Working Papers 15373, University of Essex, Essex Business School.
    6. Xianfang Su & Huiming Zhu & Xinxia Yang, 2019. "Heterogeneous Causal Relationships between Spot and Futures Oil Prices: Evidence from Quantile Causality Analysis," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    7. Chang, Chun-Ping & Lee, Chien-Chiang, 2015. "Do oil spot and futures prices move together?," Energy Economics, Elsevier, vol. 50(C), pages 379-390.
    8. Liang Hu & Yoon‐Jin Lee, 2024. "New evidence on crude oil market efficiency," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 892-916, April.
    9. You-How Go & Wee-Yeap Lau, 2019. "Palm oil spot-futures relation: Evidence from unrefined and refined products," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(3), pages 133-142.
    10. Javier Garcia-Verdugo & Meliyara Sirex Consuegra, 2013. "Estimating functional efficiency in energy futures markets," Economics and Business Letters, Oviedo University Press, vol. 2(3), pages 105-115.
    11. Onder Buberkoku, 2017. "Examining Energy Futures Market Efficiency Under Multiple Regime Shifts," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 61-71.

  133. Yuki Toyoshima & Shigeyuki Hamori, 2011. "Panel cointegration analysis of the Fisher effect: Evidence from the US, the UK, and Japan," Economics Bulletin, AccessEcon, vol. 31(3), pages 2674-2682.

    Cited by:

    1. Bosupeng, Mpho & Biza-Khupe, Simangaliso, 2015. "The Impact of Money Supply Volatility on the Fisher Effect –A Botswana Empirical Perspective," MPRA Paper 77920, University Library of Munich, Germany, revised 2015.
    2. Ismet Gocer & Serdar Ongan, 2020. "The Relationship between Inflation and Interest Rates in the UK: The Nonlinear ARDL Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(3), pages 77-86.
    3. Sunal, Onur, 2022. "The efficiency of primary sovereign bond markets in Turkey: The so-called Fisher puzzle reconsidered," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 255-261.
    4. İsmet Göçer & Serdar Ongan, 2020. "Asymmetric Impacts of Inflation on the US Bond Rates and FED’s Pre-Emptive Policy," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(2), pages 143-157, December.
    5. Bosupeng, Mpho, 2016. "On The Fisher Effect: A Review," MPRA Paper 77916, University Library of Munich, Germany, revised 2016.
    6. Navoda Edirisinghe & Selliah Sivarajasingham & John Nigel, 2015. "An Empirical Study of the Fisher Effect and the Dynamic Relationship between Inflation and Interest Rate in Sri Lanka," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(1), pages 47-62, January.
    7. Somayeh Madadpour & Mohsen Asgari, 2019. "The puzzling relationship between stocks return and inflation: a review article," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 66(2), pages 115-145, June.
    8. Navoda Edirisinghe & Selliah Sivarajasingham & John Nigel, 2015. "An Empirical Study of the Fisher Effect and the Dynamic Relationship between Inflation and Interest Rate in Sri Lanka," International Journal of Business and Social Research, LAR Center Press, vol. 5(1), pages 47-62, January.
    9. Ogali, Oscar I.O. & Okoro, Emeka E. & Olafuyi, Saburi G., 2023. "Assessing consensus on nexus between natural gas consumption and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

  134. Nakajima, Tadahiro & Hamori, Shigeyuki, 2010. "Change in consumer sensitivity to electricity prices in response to retail deregulation: A panel empirical analysis of the residential demand for electricity in the United States," Energy Policy, Elsevier, vol. 38(5), pages 2470-2476, May.

    Cited by:

    1. Aryanpur, V. & Ghahremani, M. & Mamipour, S. & Fattahi, M. & Ó Gallachóir, B. & Bazilian, M.D. & Glynn, J., 2022. "Ex-post analysis of energy subsidy removal through integrated energy systems modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    3. Nikos Sakkas & Sofia Yfanti & Costas Daskalakis & Eduard Barbu & Marharyta Domnich, 2021. "Interpretable Forecasting of Energy Demand in the Residential Sector," Energies, MDPI, vol. 14(20), pages 1-17, October.
    4. Upton, Gregory B. & Snyder, Brian F., 2017. "Funding renewable energy: An analysis of renewable portfolio standards," Energy Economics, Elsevier, vol. 66(C), pages 205-216.
    5. McDaniel, Tanga M. & Groothuis, Peter A., 2012. "Retail competition in electricity supply—Survey results in North Carolina," Energy Policy, Elsevier, vol. 48(C), pages 315-321.
    6. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    7. Stiel, Caroline & Cullmann, Astrid & Nieswand, Maria, 2018. "Do Private Utilities Outperform Local Government-Owned Utilities? Evidence from German Retail Electricity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(4), pages 401-425.
    8. Makena Coffman & Sherilyn Wee & Carl Bonham & Germaine Salim, 2013. "A Policy Analysis of Hawaii�s Solar Tax Credit Incentive," Working Papers 2013-11, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    9. L. (Lisa B.) Ryan & Sarah La Monaca & Linda Mastrandrea & Petr Spodniak, 2018. "Harnessing Electricity Retail Tariffs to Support Climate Change Policy," Working Papers 201822, School of Economics, University College Dublin.
    10. Coffman, Makena & Wee, Sherilyn & Bonham, Carl & Salim, Germaine, 2016. "A policy analysis of Hawaii's solar tax credit," Renewable Energy, Elsevier, vol. 85(C), pages 1036-1043.
    11. Simone Di Leo & Marta Chicca & Cinzia Daraio & Andrea Guerrini & Stefano Scarcella, 2022. "A Framework for the Analysis of the Sustainability of the Energy Retail Market," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
    12. Theologos Dergiades & Lefteris Tsoulfidis, 2011. "Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis," Empirical Economics, Springer, vol. 41(2), pages 511-531, October.
    13. Leighty, Wayne & Meier, Alan, 2011. "Accelerated electricity conservation in Juneau, Alaska: A study of household activities that reduced demand 25%," Energy Policy, Elsevier, vol. 39(5), pages 2299-2309, May.
    14. Muhammad Shahid Mastoi & Hafiz Mudassir Munir & Shenxian Zhuang & Mannan Hassan & Muhammad Usman & Ahmad Alahmadi & Basem Alamri, 2022. "A Comprehensive Analysis of the Power Demand–Supply Situation, Electricity Usage Patterns, and the Recent Development of Renewable Energy in China," Sustainability, MDPI, vol. 14(6), pages 1-34, March.
    15. Roula Inglesi-Lotz, 2012. "The sensitivity of the South African industrial sector’s electricity consumption to electricity price fluctuations," Working Papers 201225, University of Pretoria, Department of Economics.
    16. Eric L. Prentis, 2015. "Evidence on U.S. Electricity Prices: Regulated Utility vs. Restructured States," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 253-262.
    17. Pereira Uhr, Daniel de Abreu & Squarize Chagas, André Luis & Ziero Uhr, Júlia Gallego, 2019. "Estimation of elasticities for electricity demand in Brazilian households and policy implications," Energy Policy, Elsevier, vol. 129(C), pages 69-79.
    18. Favero, Filippo & Grossi, Luigi, 2023. "Analysis of individual natural gas consumption and price elasticity: Evidence from billing data in Italy," Energy Economics, Elsevier, vol. 118(C).
    19. Halim Tatli, 2019. "Factors affecting industrial coal demand in Turkey," Energy & Environment, , vol. 30(6), pages 1027-1048, September.
    20. He, Yongxiu & Xu, Yang & Pang, Yuexia & Tian, Huiying & Wu, Rui, 2016. "A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary path," Renewable Energy, Elsevier, vol. 89(C), pages 695-705.
    21. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    22. María del P. Pablo-Romero ,, & Rafael Pozo-Barajas & Javier Sánchez-Rivas, 2017. "Relationships between Tourism and Hospitality Sector Electricity Consumption in Spanish Provinces (1999–2013)," Sustainability, MDPI, vol. 9(4), pages 1-12, March.
    23. Pasrun Adam & Usman Rianse & Edi Cahyono & Manat Rahim, 2015. "Modeling of the Dynamics Relationship between World Crude Oil Prices and the Stock Market in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 550-557.
    24. Wang, Nan & Mogi, Gento, 2017. "Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?," Energy Policy, Elsevier, vol. 106(C), pages 233-243.
    25. Bilgili, Faik & Pamuk, Yalçın & Halıcı Tülüce, Nadide Sevil, 2010. "Short run and long run dynamics of residential electricity consumption: Homogeneous and heterogeneous panel estimations for OECD," MPRA Paper 33291, University Library of Munich, Germany, revised Jun 2011.
    26. Caroline Stiel & Astrid Cullmann & Maria Nieswand, 2018. "Do Private Utilities Outperform Local Government‐Owned Utilities? Evidence from German Retail Electricity," German Economic Review, Verein für Socialpolitik, vol. 19(4), pages 401-425, November.
    27. Caroline Stiel & Astrid Cullmann & Maria Nieswand, 2015. "Productivity in Electricity Retail after Market Liberalisation: Analysing the Effects of Ownership and Firm's Governance Structure," Discussion Papers of DIW Berlin 1531, DIW Berlin, German Institute for Economic Research.
    28. Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
    29. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Estimation of Japanese price elasticities of residential electricity demand, 1990–2007," Energy Economics, Elsevier, vol. 40(C), pages 433-440.
    30. Xin-gang, Zhao & Shu-ran, Hu, 2020. "Does market-based electricity price affect China's energy efficiency?," Energy Economics, Elsevier, vol. 91(C).
    31. Martins, Luís Oscar Silva & Amorim, Inara Rosa & Mendes, Vinícius de Araújo & Silva, Marcelo Santana & Freires, Francisco Gaudêncio Mendonça & Teles, Eduardo Oliveira & Torres, Ednildo Andrade, 2021. "Price and income elasticities of residential electricity demand in Brazil and policy implications," Utilities Policy, Elsevier, vol. 71(C).
    32. Filippini, Massimo & Hirl, Bettina & Masiero, Giuliano, 2018. "Habits and rational behaviour in residential electricity demand," Resource and Energy Economics, Elsevier, vol. 52(C), pages 137-152.
    33. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    34. Aslam, Misbah & Ahmad, Eatzaz, 2023. "Untangling electricity demand elasticities: Insights from heterogeneous household groups in Pakistan," Energy, Elsevier, vol. 282(C).
    35. Inglesi-Lotz, R., 2011. "The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application," Energy Policy, Elsevier, vol. 39(6), pages 3690-3696, June.
    36. Sohag, Kazi & Begum, Rawshan Ara & Abdullah, Sharifah Mastura Syed & Jaafar, Mokhtar, 2015. "Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia," Energy, Elsevier, vol. 90(P2), pages 1497-1507.
    37. Fotouhi Ghazvini, Mohammad Ali & Ramos, Sergio & Soares, João & Castro, Rui & Vale, Zita, 2019. "Liberalization and customer behavior in the Portuguese residential retail electricity market," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.
    38. Shin, Kong Joo & Managi, Shunsuke, 2017. "Liberalization of a retail electricity market: Consumer satisfaction and household switching behavior in Japan," Energy Policy, Elsevier, vol. 110(C), pages 675-685.
    39. Paulun, Tobias & Feess, Eberhard & Madlener, Reinhard, 2010. "Why Higher Price Sensitivity of Consumers May Increase Average Prices: An Analysis of the European Electricity Market," FCN Working Papers 16/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    40. Akihiro Otsuka, 2019. "Natural disasters and electricity consumption behavior: a case study of the 2011 Great East Japan Earthquake," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 887-910, October.
    41. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    42. García-Gusano, Diego & Suárez-Botero, Jasson & Dufour, Javier, 2018. "Long-term modelling and assessment of the energy-economy decoupling in Spain," Energy, Elsevier, vol. 151(C), pages 455-466.
    43. Tiwari, Aviral Kumar & Menegaki, Angeliki N., 2019. "A time varying approach on the price elasticity of electricity in India during 1975–2013," Energy, Elsevier, vol. 183(C), pages 385-397.
    44. THAMAE Retselisitsoe Isaiah & THAMAE Leboli Zachia & THAMAE Thimothy Molefi, 2015. "Dynamics Of Electricity Demand In Lesotho: A Kalman Filter Approach," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 10(1), pages 130-139, April.
    45. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
    46. Villareal, Maria José Charfuelan & Moreira, João Manoel Losada, 2016. "Household consumption of electricity in Brazil between 1985 and 2013," Energy Policy, Elsevier, vol. 96(C), pages 251-259.

  135. Chen, Guifu & Hamori, Shigeyuki, 2010. "Bivariate probit analysis of differences between male and female formal employment in urban China," Journal of Asian Economics, Elsevier, vol. 21(5), pages 494-501, October.

    Cited by:

    1. Zhanhui Fu & Hongqiang Jiang & Jiajun Qiao & Xiaojun Jiang & Weichun He, 2023. "Gender Differences in Migrant Workers’ Wages and Their Influencing Factors in the Central Hilly Regions of China," Land, MDPI, vol. 12(7), pages 1-16, July.
    2. Kwadwo Opoku & Francisco M.P. Mugizi & Emmanuel Adu Boahen, 2021. "Gender differences in formal wage employment in urban Tanzania," WIDER Working Paper Series wp-2021-99, World Institute for Development Economic Research (UNU-WIDER).

  136. Haifeng Xu & Shigeyuki Hamori, 2010. "Dynamic linkages of stock prices among G7 countries: effects of the American financial crisis," Economics Bulletin, AccessEcon, vol. 30(4), pages 2656-2667.

    Cited by:

    1. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2016. "The Chinese Stock Market Does not React to the Japanese Market: Using Intraday Data to Analyse Return and Volatility Spillover Effects," The Japanese Economic Review, Springer, vol. 67(3), pages 280-294, September.

  137. Koji KANAO & Shigeyuki HAMORI, 2010. "The size of the underground economy in Japan," Economics Bulletin, AccessEcon, vol. 30(1), pages 893-902.
    See citations under working paper version above.
  138. Hisako Kai & Shigeyuki Hamori, 2009. "Globalization, financial depth, and inequality in Sub-Saharan Africa," Economics Bulletin, AccessEcon, vol. 29(3), pages 2025-2037.
    See citations under working paper version above.
  139. Shigeyuki Hamori & Yoichi Matsubayashi, 2009. "Empirical analysis of export demand behavior of LDCs: Panel cointegration approach," Economics Bulletin, AccessEcon, vol. 29(3), pages 1990-1999.
    See citations under working paper version above.
  140. Takeshi Inoue & Shigeyuki Hamori, 2009. "What Explains Real and Nominal Exchange Rate Fluctuations?: Evidence from SVAR Analysis for India," Economics Bulletin, AccessEcon, vol. 29(4), pages 2803-2815.
    See citations under working paper version above.
  141. Yoshihiro Hashiguchi & Shigeyuki Hamori, 2009. "Saving-Investment Relationship and Capital Mobility: Evidence from Chinese Provincial Data, 1980—2007," Economics Bulletin, AccessEcon, vol. 29(3), pages 1981-1989.
    See citations under working paper version above.
  142. CHEN, Guifu & HAMORI, Shigeyuki, 2009. "Economic returns to schooling in urban China: OLS and the instrumental variables approach," China Economic Review, Elsevier, vol. 20(2), pages 143-152, June.

    Cited by:

    1. Almas Heshmati & Biwei Su, 2013. "Development and Sources of Labor Productivity in Chinese Provinces," China Economic Policy Review (CEPR), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-30.
    2. Vinod Mishra & Russell Smyth, 2012. "Returns to Schooling in Urban China: New Evidence Using Heteroskedasticity Restrictions to Obtain Identification Without Exclusion Restrictions," Monash Economics Working Papers 33-12, Monash University, Department of Economics.
    3. Sefa Awaworyi Churchill & Vinod Mishra, 2018. "Returns to education in China: a meta-analysis," Applied Economics, Taylor & Francis Journals, vol. 50(54), pages 5903-5919, November.
    4. Juliet Elu & Gregory Price, 2013. "Does Ethnicity Matter for Access to Childhoodand Adolescent Health Capital in China? Evidence from the Wage-Height Relationship in the 2006 China Health and Nutrition Survey," The Review of Black Political Economy, Springer;National Economic Association, vol. 40(3), pages 315-339, September.
    5. Messinis, George, 2013. "Returns to education and urban-migrant wage differentials in China: IV quantile treatment effects," China Economic Review, Elsevier, vol. 26(C), pages 39-55.
    6. Lin, Carl & Sun, Yan & Xing, Chunbing, 2018. "Son Preference and Human Capital Investment among China's Rural-Urban Migrant Households," IZA Discussion Papers 11930, Institute of Labor Economics (IZA).
    7. M Niaz Asadullah & Saizi Xiao, 2019. "Labor Market Returns to Education and English Language Skills in the People's Republic of China: An Update," Asian Development Review, MIT Press, vol. 36(1), pages 80-111, March.
    8. Beatriz Muriel Hernández, 2016. "An Analysis of Firm Characteristics as Earnings Determinants: The Urban Bolivia Case," Development Research Working Paper Series 04/2016, Institute for Advanced Development Studies.
    9. Yao, Yao & Chen, George S. & Salim, Ruhul & Yu, Xiaojun, 2018. "Schooling returns for migrant workers in China: Estimations from the perspective of the institutional environment in a rural setting," China Economic Review, Elsevier, vol. 51(C), pages 240-256.
    10. Kentaro Shimada & Zeba Khan & Suguru Mizunoya & Ayako Wakano, 2016. "An Update of the Returns to Education in Kenya: Accounting both endogeneity and sample selection biases," Discussion Papers in Economics and Business 16-18, Osaka University, Graduate School of Economics.
    11. Xinxin Ma & Ichiro Iwasaki, 2021. "Does communist party membership bring a wage premium in China? a meta-analysis," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 19(1), pages 55-94, January.
    12. Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, June.
    13. Zhong, Hai, 2011. "Returns to higher education in China: What is the role of college quality?," China Economic Review, Elsevier, vol. 22(2), pages 260-275, June.
    14. Xie, Shiqing & Mo, Taiping, 2014. "The impact of education on health in China," China Economic Review, Elsevier, vol. 29(C), pages 1-18.
    15. Chyi, Hau & Zhou, Bo, 2014. "The effects of tuition reforms on school enrollment in rural China," Economics of Education Review, Elsevier, vol. 38(C), pages 104-123.
    16. Sajjad Haider Bhatti & Muhammad Aslam & Jean Bourdon, 2018. "Market Returns to Education in Pakistan, Corrected for Endogeneity Bias," Post-Print halshs-01845506, HAL.
    17. Wang, Jun & Yang, Juan & Li, Bo, 2017. "Pain of disasters: The educational cost of exogenous shocks evidence from Tangshan Earthquake in 1976," China Economic Review, Elsevier, vol. 46(C), pages 27-49.
    18. Hou, Benyufang & Liu, Hong & Wang, Sophie Xuefei, 2020. "Returns to military service in off-farm wage employment: Evidence from rural China," China Economic Review, Elsevier, vol. 59(C).
    19. Tom Coupe & Hanna Vakhitova, 2011. "Recent Dynamics of Returns to Education in Transition Countries," Discussion Papers 39, Kyiv School of Economics.
    20. Hu, Feng, 2015. "Return to Education for China’s Return Migrant Entrepreneurs," World Development, Elsevier, vol. 72(C), pages 296-307.
    21. Chris SAKELLARIOU & Fang ZHENG, 2014. "Returns to Schooling for Urban Residents and Migrants in China: New IV Estimates and a Comprehensive Investigation," Economic Growth Centre Working Paper Series 1407, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    22. Ren, Weiwei & Miller, Paul W., 2012. "Changes over time in the return to education in urban China: Conventional and ORU estimates," China Economic Review, Elsevier, vol. 23(1), pages 154-169.
    23. Wang, Le, 2013. "Estimating returns to education when the IV sample is selective," Labour Economics, Elsevier, vol. 21(C), pages 74-85.
    24. Vinod Mishra & Russell Smyth, 2012. "It Pays to Be Happy (If You are a Man): Subjective Wellbeing and the Gender Wage Gap in Urban China," Monash Economics Working Papers 51-12, Monash University, Department of Economics.
    25. Wang, Le, 2012. "Economic transition and college premium in urban China," China Economic Review, Elsevier, vol. 23(2), pages 238-252.
    26. Zhongkun Zhu & Wanglin Ma & Chenxin Leng, 2022. "ICT Adoption, Individual Income and Psychological Health of Rural Farmers in China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 71-91, February.
    27. Chen, Guifu & Hamori, Shigeyuki, 2010. "Bivariate probit analysis of differences between male and female formal employment in urban China," Journal of Asian Economics, Elsevier, vol. 21(5), pages 494-501, October.
    28. Gao, Wenshu & Smyth, Russell, 2011. "Economic returns to speaking 'standard Mandarin' among migrants in China's urban labour market," Economics of Education Review, Elsevier, vol. 30(2), pages 342-352, April.
    29. Liu, Shenglong & Hu, Angang, 2013. "Demographic change and economic growth: Theory and evidence from China," Economic Modelling, Elsevier, vol. 35(C), pages 71-77.
    30. Yongwei Chen & Dahai Fu & Xinyue Ye, 2021. "Income comparison and happiness: The role of fair income distribution," Australian Economic Papers, Wiley Blackwell, vol. 60(1), pages 41-63, March.
    31. Mishra, Vinod & Smyth, Russell, 2015. "Estimating returns to schooling in urban China using conventional and heteroskedasticity-based instruments," Economic Modelling, Elsevier, vol. 47(C), pages 166-173.
    32. Mishra, Vinod & Smyth, Russell, 2013. "Economic returns to schooling for China's Korean minority," Journal of Asian Economics, Elsevier, vol. 24(C), pages 89-102.
    33. Wenshu Gao & Russell Smyth, 2012. "Returns to Schooling in Urban China, 2001-2010: Evidence from Three Waves of the China Urban Labor Survey," Monash Economics Working Papers 50-12, Monash University, Department of Economics.
    34. Faqin Lin & Can Huang & Xiaobo He & Chao Zhang, 2013. "Do more highly educated entrepreneurs matter?," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(2), pages 104-116, November.
    35. Lin Xiu & Morley Gunderson, 2013. "Credential Effects and the Returns to Education in China," LABOUR, CEIS, vol. 27(2), pages 225-248, June.
    36. Chris Sakellariou & Zheng Fang, 2016. "Returns to schooling for urban and migrant workers in China: a detailed investigation," Applied Economics, Taylor & Francis Journals, vol. 48(8), pages 684-700, February.
    37. Kang, Lili & Peng, Fei, 2012. "Siblings, public facilities and education returns in China," MPRA Paper 38922, University Library of Munich, Germany.
    38. Liu, Min & Dries, Liesbeth & Heijman, Wim & Zhu, Xueqin & Deng, Xiangzheng & Huang, Jikun, 2019. "Land tenure reform and grassland degradation in Inner Mongolia, China," China Economic Review, Elsevier, vol. 55(C), pages 181-198.
    39. Guo, Qian & Sun, Wenkai, 2014. "Economic returns to English proficiency for college graduates in mainland China," China Economic Review, Elsevier, vol. 30(C), pages 290-300.
    40. Liu, Min & Dries, Liesbeth & Huang, Jikun & Min, Shi & Tang, Jianjun, 2019. "The impacts of the eco-environmental policy on grassland degradation and livestock production in Inner Mongolia, China: An empirical analysis based on the simultaneous equation model," Land Use Policy, Elsevier, vol. 88(C).
    41. Wenwu Zhang & Jiayin Wang & Xi Ou, 2024. "Trade liberalization, city size, and urban wage premium: evidence from China’s city and individual micro-data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    42. Weiwei Ren & Paul W. Miller, 2012. "Gender Differentials in the Payoff to Schooling in Rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 48(1), pages 133-150, September.
    43. Castro Campos, Bente & Ren, Yanjun & Petrick, Martin, 2016. "The impact of education on income inequality between ethnic minorities and Han in China," China Economic Review, Elsevier, vol. 41(C), pages 253-267.
    44. Martin Carnoy & Prashant Loyalka & Gregory Androushchak & Anna Proudnikova, 2012. "The Economic Returns to Higher Education in the BRIC Countries and their Implications for Higher Education Expansion," HSE Working papers WP BRP 02/EDU/2012, National Research University Higher School of Economics.

  143. Shigeyuki Hamori, 2009. "The sustainability of trade accounts of the G-7 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 16(17), pages 1691-1694.

    Cited by:

    1. Fengbao Yin & Shigeyuki Hamori, 2011. "The Sustainability of Trade Balances in China," Economics Bulletin, AccessEcon, vol. 31(3), pages 2090-2097.
    2. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "The sustainability of trade balances in Sub-Saharan Africa: panel cointegration tests with cross-section dependence," MPRA Paper 24054, University Library of Munich, Germany.
    3. Mariam Camarero & Josep Lluís Carrion-i-Silvestre & Cecilio Tamarit, 2013. "Global imbalances and the Intertemporal External Budget Constraint: A multicointegration approach," Working Papers 1303, Department of Applied Economics II, Universidad de Valencia.
    4. Olufemi G. Onatunji, 2023. "Sustainability of current account deficits in Nigeria: evidence from the asymmetric NARDL approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
    5. Tomas del Barrio Castro & Mariam Camarero & Cecilio Tamarit, 2013. "The trade balance in euro countries: a natural case study of periodic integration with a changing mean," Working Papers 1321, Department of Applied Economics II, Universidad de Valencia.
    6. Mariam Camarero & Josep Lluís Carrion-i-Silvestre & Cecilio Tamarit, 2021. "Análisis de la sostenibilidad del sector exterior en la OCDE con técnicas de multicointegración," Working Papers 2112, Department of Applied Economics II, Universidad de Valencia.
    7. Tomas del Barrio Castro & Mariam Camarero & Cecilio Tamarit, 2013. "An analysis of the trade balance for OECD countries using periodic integration and cointegration," Working Papers 1320, Department of Applied Economics II, Universidad de Valencia.
    8. Jakub Horak, 2021. "Sanctions as a Catalyst for Russia’s and China’s Balance of Trade: Business Opportunity," JRFM, MDPI, vol. 14(1), pages 1-26, January.
    9. Tomás Barrio & Mariam Camarero & Cecilio Tamarit, 2019. "Testing for Periodic Integration with a Changing Mean," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 45-75, June.

  144. Hisashi Tanizaki & Shigeyuki Hamori, 2009. "Volatility transmission between Japan, UK and USA in daily stock returns," Empirical Economics, Springer, vol. 36(1), pages 27-54, February.

    Cited by:

    1. Hsieh, Kunlin & Hsieh, Yuching & Hamori, Shigeyuki, 2010. "The interdependence of Taiwanese and Japanese stock prices," MPRA Paper 21475, University Library of Munich, Germany.
    2. Sinha, Pankaj & Sinha, Gyanesh, 2010. "Volatility Spillover in India, USA and Japan Investigation of Recession Effects," MPRA Paper 47190, University Library of Munich, Germany, revised 17 May 2013.
    3. Viorica CHIRILA & Ciprian CHIRILA, 2018. "Effects of US Monetary Policy on Eastern European Financial Markets," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10(2), pages 149-166, August.
    4. Galin Todorov & Prasad Bidarkota, 2013. "On international financial spillovers to frontier markets," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 5(4), pages 433-452.
    5. Ekin Tokat & Hakkı Arda Tokat, 2010. "Shock and Volatility Transmission in the Futures and Spot Markets: Evidence from Turkish Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 92-104, January.
    6. Borjigin, Sumuya & Gao, Ting & Sun, Yafei & An, Biao, 2020. "For evil news rides fast, while good news baits later?—A network based analysis in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    7. Withanage, Yeshan & Jayasinghe, Prabhath, 2017. "Volatility Spillovers between South Asian Stock Markets: Evidence from Sri Lanka, India and Pakistan," MPRA Paper 82782, University Library of Munich, Germany, revised Nov 2017.
    8. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    9. Athanasios Koulakiotis & Katerina Lyroudi & Nikos Thomaidis & Nicholas Papasyriopoulos, 2010. "The impact of cross‐listings on the UK and the German stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 27(1), pages 4-18, March.
    10. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    11. Koulakiotis, Athanasios & Kartalis, Nikos & Lyroudi, Katerina & Papasyriopoulos, Nicholas, 2012. "Asymmetric and threshold effects on comovements among Germanic cross-listed equities," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 327-342.
    12. Zhu, Hui-Ming & Li, ZhaoLai & You, WanHai & Zeng, Zhaofa, 2015. "Revisiting the asymmetric dynamic dependence of stock returns: Evidence from a quantile autoregression model," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 142-153.
    13. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    14. Abdul Wahid & Muhammad Zubair Mumtaz, 2018. "The Paradigm Shift in the Pakistan Stock Exchange’s Financial Integration Post-FTA and CPEC," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 21-50, Jan-June.

  145. Guifu Chen & Shigeyuki Hamori, 2009. "Solution to the Dilemma of the Migrant Labor Shortage and the Rural Labor Surplus in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(4), pages 53-71, July.

    Cited by:

    1. Xing Ji & Jia Chen & Hongxiao Zhang, 2023. "Agricultural Specialization Threatens Sustainable Mental Health: Implications for Chinese Farmers’ Subjective Well-Being," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    2. Fangbin Qiao, 2020. "The Impact of Agricultural Service on Grain Production in China," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    3. Qiao, Fangbin, 2017. "Increasing wage, mechanization, and agriculture production in China," China Economic Review, Elsevier, vol. 46(C), pages 249-260.
    4. Siyi Pei & Sudan Zhao & Xuan Li & Jiahui Li, 2024. "Impacts of Rural–Urban Labour Transfer and Land Transfer on Land Efficiency in China: A Analysis of Mediating Effects," Land, MDPI, vol. 13(5), pages 1-22, May.
    5. Christoph Scherrer, 2018. "Labour surplus is here to stay: why ‘decent work for all’ will remain elusive," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(2), pages 293-307, October.
    6. Huasheng Zhu & Junwei Feng & Maojun Wang & Fan Xu, 2017. "Sustaining Regional Advantages in Manufacturing: Skill Accumulation of Rural–Urban Migrant Workers in the Coastal Area of China," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
    7. Bai, Y. & Wang, W. & Zhang, L., 2018. "How long do returning migrants stay in their home county: Evidence from rural China during 1998 to 2015," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277380, International Association of Agricultural Economists.
    8. John Knight & Deng Quheng and Li Shi, 2010. "The Puzzle of Migrant Labour Shortage and Rural Labour Surplus in China," Economics Series Working Papers 494, University of Oxford, Department of Economics.
    9. Yunli Bai & Weidong Wang & Linxiu Zhang, 2018. "How Long Do Return Migrants Stay in Their Home Counties? Trends and Causes," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    10. Xing Ji & Jia Chen & Hongxiao Zhang, 2024. "Agricultural specialization activates the industry chain: Implications for rural entrepreneurship in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 950-974, October.
    11. Lijian Qin & Zhen Wang, 2015. "Impact of Health Status and Related Factors on Labor Market Positions of Urban Mature Chinese," Journal of Labor Research, Springer, vol. 36(2), pages 224-231, June.
    12. Zhu, Hongfei & He, Lixin & Yuan, Tangjun, 2012. "Could Education Retain Farmers in the Local Area?," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 53(1), pages 39-47, June.
    13. Lijian QIN & Shuangquan YU & Chenggang WANG & Zhongyi JIANG, 2013. "The impact of health on off-farm income of China's migrant workers," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(2), pages 90-99.

  146. Shigeyuki Hamori & Naoko Hamori, 2009. "International term structure of interest rates in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 16(11), pages 1113-1116.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.

  147. Shigeyuki Hamori & Naoko Hamori, 2009. "On the Sustainability of Budget Deficits in the Euro Area," Economics Bulletin, AccessEcon, vol. 29(1), pages 56-66.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.

  148. Yoichi Matsubayashi & Shigeyuki Hamori, 2009. "Empirical analysis of import demand behavior of least developed countries," Economics Bulletin, AccessEcon, vol. 29(2), pages 1443-1458.
    See citations under working paper version above.
  149. Takeshi Inoue & Shigeyuki Hamori, 2009. "An Empirical Analysis of the Money Demand Function in India," Economics Bulletin, AccessEcon, vol. 29(2), pages 1224-1245.
    See citations under working paper version above.
  150. Shigeyuki Hamori & Guifu Chen, 2008. "Do Chinese employers discriminate against females when hiring employees ?," Economics Bulletin, AccessEcon, vol. 10(14), pages 1-17.

    Cited by:

    1. Almas Heshmati & Biwei Su & Seon-Ae Kim, 2015. "Measurement and Analysis of Well-Being in Developed Regions in China," China Economic Policy Review (CEPR), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-22, June.
    2. Su, Biwei & Heshmati, Almas, 2011. "Analysis of Gender Wage Differential in China's Urban Labor Market," IZA Discussion Papers 6252, Institute of Labor Economics (IZA).
    3. Chen, Guifu & Hamori, Shigeyuki, 2010. "Bivariate probit analysis of differences between male and female formal employment in urban China," Journal of Asian Economics, Elsevier, vol. 21(5), pages 494-501, October.

  151. Hamori, Shigeyuki & Hamori, Naoko, 2008. "Demand for money in the Euro area," Economic Systems, Elsevier, vol. 32(3), pages 274-284, September.

    Cited by:

    1. Khalfaoui, Rabeh & Padhan, Hemachandra & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Resources Policy, Elsevier, vol. 68(C).
    2. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.
    3. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
    4. Kumar, Saten, 2011. "Financial reforms and money demand: Evidence from 20 developing countries," Economic Systems, Elsevier, vol. 35(3), pages 323-334, September.
    5. Simplice A. Asongu & Oludele E. Folarin & Nicholas Biekpe, 2019. "The Stability of Demand for Money in the Proposed Southern African Monetary Union," Working Papers of the African Governance and Development Institute. 19/025, African Governance and Development Institute..
    6. Alfredo Villca & Alejandro Torres & Carlos Esteban Posada & Hermilson Velásquez, 2018. "Demanda de dinero en América Latina, 1996-2016: una aplicación de cointegración en datos de panel," Documentos de Trabajo de Valor Público 17008, Universidad EAFIT.
    7. Emel Siklar & Ilyas Siklar, 2021. "Is There a Change in the Money Demand Stability in Turkey? A Nonlinear Approach," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(2), pages 28-42, 06-2021.
    8. Rios, Vicente, 2019. "New Evidence on the Size and Drivers of the Shadow Economy in Spain: A Model Averaging Approach," MPRA Paper 97504, University Library of Munich, Germany.
    9. Vicente Ríos & Antonio Gómez & Pedro Pascual, 2021. "Raising the Accuracy of Shadow Economy Measurements," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 71-125, November.
    10. Kumar, Saten & Chowdhury, Mamta & Rao, B. Bhaskara, 2010. "Demand for Money in the Selected OECD Countries: A Time Series Panel Data Approach and Structural Breaks," MPRA Paper 22204, University Library of Munich, Germany.
    11. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable?: Cointegrated VAR versus Single Equation Techniques," Discussion Papers of DIW Berlin 982, DIW Berlin, German Institute for Economic Research.
    12. Masudul Hasan Adil & Aditi Chaubal, 2024. "Money demand stability in India: allowing for an unknown number of breaks," Empirical Economics, Springer, vol. 67(3), pages 941-983, September.
    13. Masudul Hasan Adil & Rafiq Hussain & Adelajda Matuka, 2022. "Interest rate sensitivity of demand for money and effectiveness of monetary policy: fresh evidence from combined cointegration test and ARDL approach," SN Business & Economics, Springer, vol. 2(7), pages 1-24, July.
    14. Nicholas Apergis, 2015. "Long-run estimates of money demand: new evidence from East Asian countries and the presence of structural breaks," Applied Economics, Taylor & Francis Journals, vol. 47(31), pages 3276-3291, July.
    15. Helmut Herwartz & Jordi Sardà & Bernd Theilen, 2016. "Money demand and the shadow economy: empirical evidence from OECD countries," Empirical Economics, Springer, vol. 50(4), pages 1627-1645, June.
    16. BENDOB, Ali & SI MOHEMMED, Kamel, 2014. "La relation entre le taux de change parallèle et la demande de la monnaie Cas de l’Algérie durant 1980-2010: Une approche économétrique [The relationship between the parallel exchange rate and dema," MPRA Paper 76085, University Library of Munich, Germany, revised 2014.
    17. Chien-Chiang Lee & An-Hsing Chang, 2013. "Revisiting the demand for money function: evidence from the random coefficients approach," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1491-1502, September.
    18. Barnett, William A. & Ghosh, Taniya & Adil, Masudul Hasan, 2022. "Is money demand really unstable? Evidence from Divisia monetary aggregates," MPRA Paper 111762, University Library of Munich, Germany.
    19. Dobnik, Frauke, 2011. "Long-run Money Demand in OECD Countries – Cross-Member Cointegration," Ruhr Economic Papers 237, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Daniele, Vittorio & Foresti, Pasquale & Napolitano, Oreste, 2017. "The stability of money demand in the long-run: Italy 1861–2011," LSE Research Online Documents on Economics 67219, London School of Economics and Political Science, LSE Library.
    21. Mouyad Alsamara & Zouhair Mrabet, 2019. "Asymmetric impacts of foreign exchange rate on the demand for money in Turkey: new evidence from nonlinear ARDL," International Economics and Economic Policy, Springer, vol. 16(2), pages 335-356, April.
    22. Frauke Dobnik, 2013. "Long-run money demand in OECD countries: what role do common factors play?," Empirical Economics, Springer, vol. 45(1), pages 89-113, August.
    23. Samba Michel Cyrille, 2015. "International Reserves Holdings in the CEMAC Area: Adequacy and Motives," African Development Review, African Development Bank, vol. 27(4), pages 415-427, December.
    24. Czudaj, Robert, 2011. "P-star in times of crisis - Forecasting inflation for the euro area," Economic Systems, Elsevier, vol. 35(3), pages 390-407, September.

  152. Shigeyuki Hamori, 2008. "Empirical Analysis of the Money Demand Function in Sub-Saharan Africa," Economics Bulletin, AccessEcon, vol. 15(4), pages 1-15.

    Cited by:

    1. Khalfaoui, Rabeh & Padhan, Hemachandra & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Resources Policy, Elsevier, vol. 68(C).
    2. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
    3. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
    4. Afees Salisu & Idris Ademuyiwa & Basiru Fatai, 2013. "Modelling the Demand for Money in Sub-Saharan Africa (SSA)," Economics Bulletin, AccessEcon, vol. 33(1), pages 635-647.
    5. Kumar, Saten & Chowdhury, Mamta & Rao, B. Bhaskara, 2010. "Demand for Money in the Selected OECD Countries: A Time Series Panel Data Approach and Structural Breaks," MPRA Paper 22204, University Library of Munich, Germany.
    6. Felix S. Nyumuah, 2017. "An Investigation into the Interest Elasticity of Demand for Money in Developing Countries: A Panel Data Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 69-80, March.
    7. Mr. Andrew Berg & Ms. Filiz D Unsal & Mr. Rafael A Portillo, 2010. "On the Optimal Adherence to Money Targets in a New-Keynesian Framework: An Application to Low-Income Countries," IMF Working Papers 2010/134, International Monetary Fund.
    8. J. Paul Dunne & Elizabeth Kasekende, 2017. "Financial Innovation and Money Demand: Evidence from Sub-Saharan Africa," School of Economics Macroeconomic Discussion Paper Series 2017-06, School of Economics, University of Cape Town.
    9. Nicholas Apergis, 2015. "Long-run estimates of money demand: new evidence from East Asian countries and the presence of structural breaks," Applied Economics, Taylor & Francis Journals, vol. 47(31), pages 3276-3291, July.
    10. Nano Prawoto, 2010. "Money demand: a study on the Indonesian influential factors," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 2(3), pages 223-236, April.
    11. Prasert Chaitip & Chukiat Chaiboonsri, 2009. "A Panel Cointegration Analysis: Thailand’s International Tourism Demand Model," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(1), pages 129-142.
    12. Agya Atabani Adi & Joshua Sunday Riti, 2017. "Determination of Long and Short Run Demand for Money in the West African Monetary Zone (WAMZ) Countries: A Panel Analysis," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(2), pages 79-97, December.
    13. Dobnik, Frauke, 2011. "Long-run Money Demand in OECD Countries – Cross-Member Cointegration," Ruhr Economic Papers 237, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Frauke Dobnik, 2013. "Long-run money demand in OECD countries: what role do common factors play?," Empirical Economics, Springer, vol. 45(1), pages 89-113, August.
    15. Payam MOHAMMAD ALIHA & Tamat SARMIDI & Abu Hassan SHAAR & Fathin FAIZAH SAID, 2017. "Using Ardl Approach To Cointehration For Investigating The Relationship Between Payment Technologies And Money Demand On A World Scale," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 29-37, December.
    16. John Bosco Nnyanzi, 2018. "The Interaction Effect of Financial Innovation and the Transmission Channels on Money Demand in Uganda," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-1, December.
    17. Samih Antoine Azar & Fadi Asrawi & Emad Gharzuddine, 2017. "Economic Integration in the Six Middle Eastern Gulf Countries: A Look from the Perspective of Money Demand," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(3), pages 189-218, December.

  153. Bhar, Ramaprasad & Hamori, Shigeyuki, 2008. "Information content of commodity futures prices for monetary policy," Economic Modelling, Elsevier, vol. 25(2), pages 274-283, March.

    Cited by:

    1. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    2. Guo, Jian-Feng & Ji, Qiang, 2013. "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, vol. 112(C), pages 1536-1543.
    3. Chen, Peng & Miao, Xinru, 2024. "Understanding the role of China's factors in international commodity price fluctuations: A perspective of monetary-fiscal policy interaction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1464-1483.
    4. Ye, Wuyi & Guo, Ranran & Jiang, Ying & Liu, Xiaoquan & Deschamps, Bruno, 2019. "Professional macroeconomic forecasts and Chinese commodity futures prices," Finance Research Letters, Elsevier, vol. 28(C), pages 130-136.
    5. Roy, Rudra Prosad & Sinha Roy, Saikat, 2022. "Commodity futures prices pass-through and monetary policy in India: Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    6. Chen, Guifu & Hamori, Shigeyuki, 2009. "Energy prices and China’s international competitiveness," MPRA Paper 18827, University Library of Munich, Germany.
    7. Belke, Ansgar & Bordon, Ingo G. & Hendricks, Torben W., 2009. "Global Liquidity and Commodity Prices – A Cointegrated VAR Approach for OECD Countries," Ruhr Economic Papers 102, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Khalfaoui, Rabeh & Baumöhl, Eduard & Sarwar, Suleman & Výrost, Tomáš, 2021. "Connectedness between energy and nonenergy commodity markets: Evidence from quantile coherency networks," Resources Policy, Elsevier, vol. 74(C).
    9. Yanfeng Wei, 2015. "The informational role of commodity prices in formulating monetary policy: a reexamination under the frequency domain," Empirical Economics, Springer, vol. 49(2), pages 537-549, September.
    10. Hanabusa, Kunihiro, 2009. "Causality relationship between the price of oil and economic growth in Japan," Energy Policy, Elsevier, vol. 37(5), pages 1953-1957, May.
    11. Xiangyu Chen & Jittima Tongurai, 2021. "The Relationship Between China’s Real Estate Market and Industrial Metals Futures Market: Evidence from Non-price Measures of the Real Estate Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 527-561, December.
    12. Nakajima, Tadahiro & Hamori, Shigeyuki, 2013. "Testing causal relationships between wholesale electricity prices and primary energy prices," Energy Policy, Elsevier, vol. 62(C), pages 869-877.
    13. Ji, Qiang & Guo, Jian-Feng, 2015. "Market interdependence among commodity prices based on information transmission on the Internet," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 35-44.
    14. Triantafyllou, Athanasios & Dotsis, George, 2017. "Option-implied expectations in commodity markets and monetary policy," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 1-17.
    15. Ciner, Cetin, 2011. "Commodity prices and inflation: Testing in the frequency domain," Research in International Business and Finance, Elsevier, vol. 25(3), pages 229-237, September.
    16. Takashi Miyazaki & Shigeyuki Hamori, 2013. "Testing for causality between the gold return and stock market performance: evidence for ‘gold investment in case of emergency’," Applied Financial Economics, Taylor & Francis Journals, vol. 23(1), pages 27-40, January.
    17. Renuka Mahadevan & Sandy Suardi, 2013. "An Examination Of Linear And Nonlinear Causal Relationships Between Commodity Prices And U.S. Inflation," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1932-1947, October.
    18. Ansgar Belke & Ingo G. Bordon & Torben W. Hendricks, 2010. "Monetary Policy, Global Liquidity and Commodity Price Dynamics," Discussion Papers of DIW Berlin 971, DIW Berlin, German Institute for Economic Research.
    19. Libo Yin & Jing Nie & Liyan Han, 2021. "Intermediary capital risk and commodity futures volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 577-640, May.
    20. Verheyen, Florian, 2010. "Monetary Policy, Commodity Prices and Infl ation – Empirical Evidence from the US," Ruhr Economic Papers 216, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    21. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," MPRA Paper 39903, University Library of Munich, Germany.
    22. Zhang, Yongmin & Ding, Shusheng & Scheffel, Eric M., 2019. "A key determinant of commodity price Co-movement: The role of daily market liquidity," Economic Modelling, Elsevier, vol. 81(C), pages 170-180.
    23. Libo Yin & Jing Nie & Liyan Han, 2020. "Intermediary asset pricing in commodity futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1711-1730, November.
    24. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.

  154. Shigeyuki HAMORI, 2008. "Trade Balances and the Terms of Trade in G-7 Countries: Penal Cointegration Approach," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 13-22.

    Cited by:

    1. Muhammad Shafiullah & Faridul Islam & Ravinthirakumaran Navaratnam, 2020. "The Harberger–Laursen–Metzler effect: evidence from five SAARC countries," Empirical Economics, Springer, vol. 58(4), pages 1749-1777, April.
    2. Jawaid, Syed Tehseen & Raza, Syed Ali, 2012. "Effects of terms of trade and its volatility on economic growth in India," MPRA Paper 38998, University Library of Munich, Germany.
    3. Islam, Faridul & Tahir , Mohammad Iqbal & Shahbaz, Muhammad, 2013. "Income Terms of Trade and Trade Balance: The Long Run Evidence from Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 36(2), pages 109-122, June.
    4. Syed Jawaid & Abdul Waheed, 2011. "Effects of Terms of Trade and its Volatility on Economic Growth: A Cross Country Empirical Investigation," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 217-229, December.
    5. Dong, Fang, 2017. "Testing the Marshall-Lerner condition between the U.S. and other G7 member countries," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 30-40.
    6. Bonga, Wellington G., 2018. "Trade Balance Analysis in Zimbabwe: Import and Export Examination Using Vector Auto-Regression Model," MPRA Paper 89002, University Library of Munich, Germany.
    7. Rizwana YASMEEN* & Muhammad HAFEEZ** & Ihtsham ul Haq PADDA***, 2018. "TRADE BALANCE AND TERMS OF TRADE RELATIONSHIP: Evidence from Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 28(2), pages 173-188.
    8. Jawaid, Syed Tehseen & Raza, Syed Ali, 2013. "Effects of terms of trade on growth performance of India," Economic Modelling, Elsevier, vol. 33(C), pages 940-946.

  155. Shigeyuki Hamori & Naoko Hamori, 2007. "Sources of Real and Nominal Exchange Rate Movements for the Euro," Economics Bulletin, AccessEcon, vol. 6(32), pages 1-10.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.
    2. Muhammad Nasir & Wasim Malik, 2011. "Structural Decomposition of Exchange Rate Shocks in Pakistan: An Empirical Investigation using SVAR Methodology," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(1), pages 124-138, September.
    3. Takeshi Inoue & Shigeyuki Hamori, 2009. "What Explains Real and Nominal Exchange Rate Fluctuations?: Evidence from SVAR Analysis for India," Economics Bulletin, AccessEcon, vol. 29(4), pages 2803-2815.
    4. Mirdala, Rajmund, 2012. "Sources of exchange rate volatility in the european transition economies (effects of economic crisis revealed)," MPRA Paper 42060, University Library of Munich, Germany.

  156. Shigeyuki Hamori, 2007. "International Capital Flows and the Frankel-Dooley-Mathieson Puzzle," Economics Bulletin, AccessEcon, vol. 15(19), pages 1-12.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.
    2. Kam Hon Chu, 2017. "The Feldstein-Horioka puzzle, the Frankel-Dooley-Mathieson puzzle, spurious ratio correlation and measurement errors," Economics Bulletin, AccessEcon, vol. 37(3), pages 2004-2019.

  157. Bhar, Ramaprasad & Hamori, Shigeyuki, 2007. "Co-movement in the price of risk of aggregate equity markets," Economic Systems, Elsevier, vol. 31(3), pages 256-271, September.

    Cited by:

    1. Thuraisamy, Kannan Sivananthan, 2014. "Intra-market sovereign linkages of key Latin American markets," Economic Systems, Elsevier, vol. 38(2), pages 140-160.

  158. Shigeyuki Hamori & Yu-Ching Hsieh & Wan-Jun Yao, 2007. "An Empirical Analysis about Population, Technological Progress, and Economic Growth in Taiwan," Economics Bulletin, AccessEcon, vol. 15(23), pages 1-13.

    Cited by:

    1. Juan Gabriel Brida & Juan S. Pereyra & Wiston Adrián Risso, 2011. "Learning strategies in modelling economic growth," Economics Bulletin, AccessEcon, vol. 31(1), pages 546-559.
    2. Silvia London & Gastón Cayssials & Fernando Antonio Ignacio González, 2022. "Population growth and economic growth: a panel causality analysis," Asociación Argentina de Economía Política: Working Papers 4574, Asociación Argentina de Economía Política.

  159. Shigeyuki Hamori, 2007. "The information role of commodity prices in formulating monetary policy: some evidence from Japan," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-7.

    Cited by:

    1. Kuhanathan Ano Sujithan & Sanvi Avouyi-Dovi & Lyes Koliai, 2013. "Does Monetary Policy Respond to Commodity Price Shocks?," Post-Print hal-01511915, HAL.
    2. Go Tamakoshi & Shigeyuki Hamori, 2012. "Informational roles of commodity prices for monetary policy: evidence from the Euro area," Economics Bulletin, AccessEcon, vol. 32(2), pages 1282-1290.

  160. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(1), pages 1-9, March.

    Cited by:

    1. Yasuyuki Itoh, 2007. "A Class of Gaussian Hybrid Processes for Modeling Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(3), pages 185-199, September.
    2. Hazrana, Jaweriah, 2017. "Modelling International Oilseed Prices: An Application Of The Structural Time Series Model," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(2), April.

  161. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Linkages among agricultural commodity futures prices: some further evidence from Tokyo," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 535-539.

    Cited by:

    1. Piotr Arendarski & Łukasz Postek, 2012. "Cointegration Based Trading Strategy For Soft Commodities Market," Working Papers 2012-02, Faculty of Economic Sciences, University of Warsaw.
    2. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    3. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(1), pages 1-9, March.
    4. Sinha, Pankaj & Mathur, Kritika, 2013. "International Linkages of Agri-Processed and Energy commodities traded in India," MPRA Paper 50214, University Library of Munich, Germany, revised 26 Sep 2013.
    5. Yoichi Tsuchiya & David McMillan, 2015. "Linkages among commodity futures prices in the recent financial crisis: An application of cointegration tests with a structural break," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1012436-101, December.

  162. Hisashi Tanizaki & Shigeyuki Hamori & Yoichi Matsubayashi, 2006. "On least-squares bias in the AR(p) models: Bias correction using the bootstrap methods," Statistical Papers, Springer, vol. 47(1), pages 109-124, January.

    Cited by:

    1. Sergio Alvarez-Andrade & Salim Bouzebda, 2014. "Asymptotic results for hybrids of empirical and partial sums processes," Statistical Papers, Springer, vol. 55(4), pages 1121-1143, November.
    2. Hevia, Constantino, 2012. "Using pooled information and bootstrap methods to assess debt sustainability in low income countries," Policy Research Working Paper Series 5978, The World Bank.
    3. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Tamer Elbayoumi & Sayed Mostafa, 2024. "Bias Analysis and Correction in Weighted- L 1 Estimators for the First-Order Bifurcating Autoregressive Model," Stats, MDPI, vol. 7(4), pages 1-18, October.
    5. Wang, Shaoping & Li, Yanglin & Wen, Kuangyu, 2021. "Recursive adjusted unit root tests under non-stationary volatility," Economics Letters, Elsevier, vol. 205(C).
    6. Christopher Withers & Saralees Nadarajah, 2013. "Calibration with low bias," Statistical Papers, Springer, vol. 54(2), pages 371-379, May.

  163. Ivohasina Fizara Razafimahefa & Shigeyuki Hamori, 2005. "Import Demand Function: Some Evidence from Madagascar and Mauritius," Journal of African Economies, Centre for the Study of African Economies, vol. 14(3), pages 411-434, September.

    Cited by:

    1. Nektarios A. Michail, 2018. "Estimating a Bilateral J‐curve between the UK and the Euro Area," Manchester School, University of Manchester, vol. 86(6), pages 757-769, December.
    2. Muhammad Omer & Junaid Kamal & Jakob Haan, 2023. "Does an exchange rate depreciation improve the trade balance of Pakistan?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 163-185, February.
    3. Ranjini L. Thaver & E. M. Ekanayake, 2010. "The Impact Of Apartheid And International Sanctions On South Africa'S Import Demand Function: An Empirical Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(4), pages 11-22.
    4. Tony Nchokoe Matlasedi, 2017. "The influence of the real effective exchange rate and relative prices on South Africa’s import demand function: An ARDL approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1419778-141, January.
    5. Nelson Modeste, 2011. "An Empirical Analysis of the Demand for Imports in Three CARICOM Member Countries: An Application of the Bounds Test for Cointegration," The Review of Black Political Economy, Springer;National Economic Association, vol. 38(1), pages 53-62, March.
    6. Nomfundo Portia Vacu & Nicholas Mbaya Odhiambo, 2022. "Examining the determinants of import demand in Tanzania: An ARDL approach," International Entrepreneurship Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 8(1), pages 65-75.
    7. M. Adetunji Babatunde & Festus O. Egwaikhide, 2010. "Explaining Nigeria's import demand behaviour: a bound testing approach," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 9(2), pages 167-187, July.
    8. Chris Jones & Oliver Morrissey, 2008. "Are Imports in Africa Responsive to Tariff Reductions?," Discussion Papers 08/02, University of Nottingham, CREDIT.
    9. Yoichi Matsubayashi & Shigeyuki Hamori, 2009. "Empirical analysis of import demand behavior of least developed countries," Economics Bulletin, AccessEcon, vol. 29(2), pages 1443-1458.
    10. Ranjini L. Thaver & E. M. Ekanayake & Daniel R. Plante, 2012. "An Estimation Of The Impact Of Gear And Nepad On South Africa'S Disaggregated Import Demand Function With Nigeria," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(2), pages 69-79.
    11. Kira Hibbert & Ranjini Thaver & Mark Hutchinson, 2012. "An Econometric Analysis Of Jamaica’S Import Demand Function With The Us And Uk," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(1), pages 109-120.
    12. Caner COLAK & Selman TOKPUNAR & Yasin UZUN, 2014. "Determinants of Sectoral Import in Manufacturing Industry: A Panel Data Analysis," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(2), pages 271-281.
    13. Arize, Augustine C. & Nippani, Srinivas, 2010. "Import demand behavior in Africa: Some new evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 254-263, August.
    14. Malefa Rose Malefane, 2023. "Dynamic Estimation of a Traditional Import Demand Function for Botswana," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 15(3), pages 436-448, September.

  164. Shigeyuki Hamori & Ivohasina Razafimahefa, 2005. "An Empirical Analysis of FDI Competitiveness in Sub-Saharan Africa and Developing Countries," Economics Bulletin, AccessEcon, vol. 6(20), pages 1-8.

    Cited by:

    1. Hongsheng Zhang & Bo Meng & Shuzhong Ma, 2018. "Determinants of China's bilateral trade balance in global value chains," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(5), pages 463-485, July.
    2. Franklin Allen and Giorgia Giovannetti, 2010. "Fragile Countries And The 2008-2009 Crisis," RSCAS Working Papers 2010/13, European University Institute.
    3. Peguero, Anadel G. & Cruz-Rodríguez, Alexis, 2016. "Condición Marshall-Lerner y el efecto Curva J: Evidencias para la República Dominicana [Marshall-Lerner Condition and J-Curve Effect: Evidence for the Dominican Republic]," MPRA Paper 71535, University Library of Munich, Germany.
    4. Giorgia Giovannetti & Elisa Ticci, 2013. "Foreign Direct Investment in Sub-Saharan Africa: Drivers and the Challenge of the Land-Energy Nexus," Working Papers - Economics wp2013_09.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    5. Hussain, M. Ershad & Haque, Mahfuzul, 2014. "Is the J-Curve a Reality in Developing Countries?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 1(2), pages 231-240.
    6. Shah, Mumtaz Hussain & Zeb, Aisha, 2017. "Prudent Macro Management of the Economy and Inward FDI in ASEAN Member States," MPRA Paper 107249, University Library of Munich, Germany.
    7. Eva Rytter Sunesen, 2009. "Examining the Regional Aspect of Foreign Direct Investment to Developing Countries," Discussion Papers 09-02, University of Copenhagen. Department of Economics.
    8. Makun, Keshmeer Kanewar, 2016. "Direct Foreign Investment and its Determinants: A Case Study - Gli investimenti diretti esteri e loro determinanti : studio di un caso," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(2), pages 151-174.
    9. Mebratu Seyoum & Renshui Wu & Jihong Lin, 2014. "Foreign Direct Investment and Trade Openness in Sub-Saharan Economies: A Panel Data Granger Causality Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 402-421, September.
    10. Adriaan Dippenaar, 2009. "What drives large South African corporations to invest in sub‐Saharan Africa? CEO's perspectives and implications for FDI policies," Natural Resources Forum, Blackwell Publishing, vol. 33(3), pages 199-210, August.
    11. Okafor, Godwin & Piesse, Jenifer & Webster, Allan, 2015. "The motives for inward FDI into Sub-Saharan African countries," Journal of Policy Modeling, Elsevier, vol. 37(5), pages 875-890.
    12. M. Ershad HUSSAIN & Mahfuzul HAQUE, 2014. "Is the J-Curve a Reality in Developing Countries?," Journal of Economics and Political Economy, KSP Journals, vol. 1(2), pages 231-240, December.
    13. Warren Moraghen & Boopen Seetanah & Noor Sookia, 2019. "Explaining Heterogeneity in the Effect of the Exchange Rate and Exchange Rate Volatility on Foreign Direct Investment: A Meta‐Analysis Approach," African Development Review, African Development Bank, vol. 31(3), pages 275-291, September.

  165. Bhar, Ramaprasad & Hamori, Shigeyuki, 2005. "Causality in variance and the type of traders in crude oil futures," Energy Economics, Elsevier, vol. 27(3), pages 527-539, May.

    Cited by:

    1. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    2. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    3. Kim, Jong-Min & Jung, Hojin, 2017. "Can asymmetric conditional volatility imply asymmetric tail dependence?," Economic Modelling, Elsevier, vol. 64(C), pages 409-418.
    4. Brian M Lucey and Alexander Eastman, 2008. "Comparing Garman-Klass and DU Volatility and Symmetry Measures in Intraday Futures Returns and Volumes: A Vector Autoregression Analysis," The Institute for International Integration Studies Discussion Paper Series iiisdp260, IIIS.
    5. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
    6. Kuruppuarachchi, Duminda & Premachandra, I.M. & Roberts, Helen, 2019. "A novel market efficiency index for energy futures and their term structure risk premiums," Energy Economics, Elsevier, vol. 77(C), pages 23-33.
    7. Alexander Eastman & Brian Lucey, 2008. "Skewness and asymmetry in futures returns and volumes," Applied Financial Economics, Taylor & Francis Journals, vol. 18(10), pages 777-800.
    8. Chen, Guifu & Hamori, Shigeyuki, 2009. "Energy prices and China’s international competitiveness," MPRA Paper 18827, University Library of Munich, Germany.
    9. Bohl, Martin T. & Stephan, Patrick M., 2013. "Does Futures Speculation Destabilize Spot Prices? New Evidence for Commodity Markets," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-21, November.
    10. Kang, Sang Hoon & Kang, Sang-Mok & Yoon, Seong-Min, 2009. "Forecasting volatility of crude oil markets," Energy Economics, Elsevier, vol. 31(1), pages 119-125, January.
    11. Cevik, Emrah Ismail & Pekkaya, Mehmet, 2007. "Spot Ve Vadeli̇ İşlem Fi̇yatlarinin Varyanslari Arasindaki̇ Nedenselli̇k Testi̇ [Causality in variance test between spot and futures prices]," MPRA Paper 71301, University Library of Munich, Germany.
    12. Bouri, Elie & Awartani, Basel & Maghyereh, Aktham, 2016. "Crude oil prices and sectoral stock returns in Jordan around the Arab uprisings of 2010," Energy Economics, Elsevier, vol. 56(C), pages 205-214.
    13. Takashi Miyazaki & Shigeyuki Hamori, 2013. "Testing for causality between the gold return and stock market performance: evidence for ‘gold investment in case of emergency’," Applied Financial Economics, Taylor & Francis Journals, vol. 23(1), pages 27-40, January.
    14. You-How Go & Wee-Yeap Lau, 2019. "Palm oil spot-futures relation: Evidence from unrefined and refined products," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(3), pages 133-142.
    15. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    16. Theologos Pantelidis, 2015. "Testing for causality in the presence of leading variables," Economics and Business Letters, Oviedo University Press, vol. 4(1), pages 17-29.
    17. Theologos Pantelidis, 2012. "Testing for Granger causality in a system of more than two variables," Discussion Paper Series 2012_02, Department of Economics, University of Macedonia, revised Jan 2012.
    18. Le, Thai-Ha & Le, Anh Tu & Le, Ha-Chi, 2021. "The historic oil price fluctuation during the Covid-19 pandemic: What are the causes?," Research in International Business and Finance, Elsevier, vol. 58(C).
    19. Osabuohien-Irabor Osarumwense, 2021. "Testing for causality-in-mean and in-variance among the U.S., China, and some Africa capital markets: A CCF approach," Journal of Economics and Management, Sciendo, vol. 43(1), pages 131-153, January.
    20. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.

  166. Ramaprasad Bhar & Shigeyuki Hamori, 2004. "Information Flow between Price Change and Trading Volume in Gold Futures Contracts," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(1), pages 45-56, April.

    Cited by:

    1. Hanabusa, Kunihiro, 2009. "Causality relationship between the price of oil and economic growth in Japan," Energy Policy, Elsevier, vol. 37(5), pages 1953-1957, May.
    2. Takashi Miyazaki & Shigeyuki Hamori, 2013. "Testing for causality between the gold return and stock market performance: evidence for ‘gold investment in case of emergency’," Applied Financial Economics, Taylor & Francis Journals, vol. 23(1), pages 27-40, January.
    3. Wo-Chiang Lee & Hui-Na Lin, 2012. "Threshold effects in the relationships between USD and gold futures by panel smooth transition approach," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1065-1070, July.
    4. Inagaki, Kazuyuki, 2007. "Testing for volatility spillover between the British pound and the euro," Research in International Business and Finance, Elsevier, vol. 21(2), pages 161-174, June.
    5. Fenghua, Wen & Xiaoguang, Yang, 2009. "Empirical study on relationship between persistence-free trading volume and stock return volatility," Global Finance Journal, Elsevier, vol. 20(2), pages 119-127.
    6. Mala Dutt & Sanjay Sehgal, 2018. "Domestic and International Information Linkages between Gold Spot and Futures Markets: An Empirical Study for India," Metamorphosis: A Journal of Management Research, , vol. 17(1), pages 1-17, June.
    7. Zhong, Wanxing & Kong, Rui & Chen, Guang, 2019. "Gold prices fluctuation of co-movement forecast between China and Russia," Resources Policy, Elsevier, vol. 62(C), pages 218-230.

  167. Bhar, Ramaprasad & Hamori, Shigeyuki, 2004. "Empirical characteristics of the permanent and transitory components of stock return: analysis in a Markov switching heteroscedasticity framework," Economics Letters, Elsevier, vol. 82(2), pages 157-165, February.

    Cited by:

    1. George Hondroyiannis & Evangelia Papapetrou, 2006. "Stock returns and inflation in Greece: A Markov switching approach," Review of Financial Economics, John Wiley & Sons, vol. 15(1), pages 76-94.
    2. Hammoudeh, Shawkat & Choi, Kyongwook, 2007. "Characteristics of permanent and transitory returns in oil-sensitive emerging stock markets: The case of GCC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 231-245, July.
    3. Choi, Kyongwook & Hammoudeh, Shawkat, 2010. "Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment," Energy Policy, Elsevier, vol. 38(8), pages 4388-4399, August.
    4. Carmen Broto & Esther Ruiz, 2008. "Testing for conditional heteroscedasticity in the components of inflation," Working Papers 0812, Banco de España.
    5. Broto, Carmen, 2006. "Using auxiliary residuals to detect conditional heteroscedasticity in inflation," DES - Working Papers. Statistics and Econometrics. WS ws060402, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Huang, MeiChi & Chiang, Hsiu-Hsuan, 2017. "An early alarm system for housing bubbles," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 34-49.
    7. Richard D. F. Harris & Murat Mazibas, 2022. "A component Markov regime‐switching autoregressive conditional range model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 650-683, April.
    8. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    9. Chen, Shyh-Wei & Shen, Chung-Hua, 2012. "Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach," Economic Modelling, Elsevier, vol. 29(2), pages 291-298.
    10. Dikaios Tserkezos & Eleni Thanou, 2007. "Conventional Nonlinear Relationships between GDP, Inflation and Stock Market Returns. An Investigation for the Greek Economy," Working Papers 0731, University of Crete, Department of Economics.

  168. Ramaprasad Bhar & Shigeyuki Hamori, 2004. "The link between inflation and inflation uncertainty: Evidence from G7 countries," Empirical Economics, Springer, vol. 29(4), pages 825-853, December.

    Cited by:

    1. WenShwo Fang & Stephen Miller & Chih-Chuan Yeh, 2010. "Does a threshold inflation rate exist? Quantile inferences for inflation and its variability," Empirical Economics, Springer, vol. 39(3), pages 619-641, December.
    2. Steffen Henzel & Elisabeth Wieland, 2013. "Synchronization and Changes in International Inflation Uncertainty," CESifo Working Paper Series 4194, CESifo.
    3. Paul Castillo & Alberto Humala & Vicente Tuesta, 2007. "Monetary Policy, Regime Shifts, and Inflation Uncertainty in Peru (1949-2006)," Working Papers 2007-005, Banco Central de Reserva del Perú.
    4. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
    5. Karunaratne, Neil Dias & Bhar, Ramprasad, 2011. "Regime-shifts and post-float inflation dynamics of Australia," Economic Modelling, Elsevier, vol. 28(4), pages 1941-1949, July.
    6. Chevaughn van der Westhuizen & Renee van Eyden & Goodness C. Aye, 2022. "Is Inflation Uncertainty a Self-Fulfilling Prophecy? The Inflation-Inflation Uncertainty Nexus and Inflation Targeting in South Africa," Working Papers 202254, University of Pretoria, Department of Economics.
    7. Lupu, Dan & Asandului, Mircea & Sîrghi, Nicoleta, 2015. "Considerations regarding inflation's evolution in Central and Eastern European countries," MPRA Paper 95508, University Library of Munich, Germany.
    8. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    9. Muhammad Azam & Muhammad Khan & Nasir Iqbal, 2012. "Impact of Political Risk and Uncertainty on FDI in South Asia," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 59-77, September.
    10. Hermann Sintim-Aboagye & Chandana Chakraborty & Serapio Byekwaso, 2012. "Uncertainty of inflation and inflation rate: Does credibility of inflation policy matter?," Economic Issues Journal Articles, Economic Issues, vol. 17(2), pages 95-110, September.
    11. Aliyu, Shehu Usman Rano & Aminu, Abubakar Wambai, 2018. "Economic regimes and stock market performance in Nigeria: Evidence from regime switching model," MPRA Paper 91430, University Library of Munich, Germany, revised 03 Oct 2018.
    12. Neil Dias Karunaratne & Ramprasad Bhar, 2010. "Regime-Shifts & Post-Float Inflation Dynamics In Australia," Discussion Papers Series 405, School of Economics, University of Queensland, Australia.
    13. Ramprasad Bhar & Girijasankar Mallik, 2013. "Inflation uncertainty, growth uncertainty, oil prices, and output growth in the UK," Empirical Economics, Springer, vol. 45(3), pages 1333-1350, December.
    14. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2011. "Inflation uncertainty revisited: A proposal for robust measurement," ifo Working Paper Series 111, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    15. Bouoiyour, Jamal & Selmi, Refk, 2013. "Nonlinearities and the nexus between inflation and inflation uncertainty in Egypt: New evidence from wavelets transform framework," MPRA Paper 52414, University Library of Munich, Germany.
    16. Don Bredin & Stilianos Fountas, 2022. "Inflation, inflation uncertainty, and Markov regime switching heteroskedasticity: Evidence from European countries," Discussion Paper Series 2022_03, Department of Economics, University of Macedonia, revised Mar 2022.
    17. Buth, Bora & Kakinaka, Makoto & Miyamoto, Hiroaki, 2015. "Inflation and inflation uncertainty: The case of Cambodia, Lao PDR, and Vietnam," Journal of Asian Economics, Elsevier, vol. 38(C), pages 31-43.
    18. Kushal Banik Chowdhury & Nityananda Sarkar, 2019. "Regime Dependent Effect Of Output Growth On Output Growth Uncertainty: Evidence From Oecd Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 257-282, July.
    19. Kushal Banik Chowdhury & Srikanta Kundu & Nityananda Sarkar, 2018. "Regime‐dependent effects of uncertainty on inflation and output growth: evidence from the United Kingdom and the United States," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(4), pages 390-413, September.
    20. Libo Yin, 2016. "Does oil price respond to macroeconomic uncertainty? New evidence," Empirical Economics, Springer, vol. 51(3), pages 921-938, November.
    21. Kushal Banik Chowdhury & Kaustav Kanti Sarkar & Srikanta Kundu, 2021. "Nonlinear relationships between inflation, output growth and uncertainty in India: New evidence from a bivariate threshold model," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 469-493, July.
    22. Ahmad Zubaidi Baharumshah & Siew-Voon Soon, 2014. "Inflation, inflation uncertainty and output growth: what does the data say for Malaysia?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 41(3), pages 370-386, May.
    23. Kushal Banik Chowdhury & Nityananda Sarkar, 2015. "The Effect of Inflation on Inflation Uncertainty in the G7 Countries: A Double Threshold GARCH Model," International Econometric Review (IER), Econometric Research Association, vol. 7(1), pages 34-50, April.
    24. Sintim-Aboagye, Hermann, 2013. "Imf And World Bank Economic Programs On Inflation: Relevance To Nepad," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 9(1-2), January.
    25. Kuang‐Liang Chang & Chi‐Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    26. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  169. Bhar, Ramaprasad & Hamori, Shigeyuki, 2003. "Alternative characterization of the volatility in the growth rate of real GDP," Japan and the World Economy, Elsevier, vol. 15(2), pages 223-231, April.

    Cited by:

    1. Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2013. "Evolution of Monetary Policy in the US: The Role of Asset Prices," Working papers 2013-20, University of Connecticut, Department of Economics, revised Dec 2013.
    2. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    3. Kristoffer P. Nimark, 2014. "Man-Bites-Dog Business Cycles," American Economic Review, American Economic Association, vol. 104(8), pages 2320-2367, August.
    4. Giorgio Canarella & WenShwo Fang & Stephen M. Miller & Stephen K. Pollard, 2008. "Is the Great Moderation Ending? UK and US Evidence," Working papers 2008-24, University of Connecticut, Department of Economics.
    5. Jorge Miguel Lopo Gonçalves Andraz & Nélia Maria Afonso Norte, 2013. "Output volatility in the OECD: Are the member states becoming less vulnerable to exogenous shocks?," CEFAGE-UE Working Papers 2013_17, University of Evora, CEFAGE-UE (Portugal).
    6. WenShwo Fang & Stephen M. Miller & ChunShen Lee, 2007. "Cross-Country Evidence on Output Growth Volatility: Nonstationary Variance and GARCH Models," Working papers 2007-20, University of Connecticut, Department of Economics, revised Mar 2008.
    7. Paul Beaumont & Stefan Norrbin & F. Pinar Yigit, 2007. "Time series evidence on the linkage between the volatility and growth of output," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 45-48.
    8. WenShwo Fang & Stephen M. Miller, 2012. "Output Growth and Its Volatility: The Gold Standard through the Great Moderation," Working papers 2012-11, University of Connecticut, Department of Economics.
    9. Said Zamin Shah & Said Zamin Shah & Ahmad Zubaidi Baharumshah & Muzafar Shah Habibullah & Law Siong Hook, 2017. "The Asymmetric Effects of Real and Nominal Uncertainty on Inflation and Output Growth: Empirical Evidence from Bangladesh," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 377-386.
    10. Chen, Shyh-Wei, 2006. "Simultaneously modeling the volatility of the growth rate of real GDP and determining business cycle turning points: Evidence from the U.S., Canada and the UK," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 87-102.
    11. Jorge M. Andraz & Nélia M. Norte, 2017. "Gross domestic product growth, volatility and regime changes nexus: the case of Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 1-16, April.
    12. Beatrice Simo-Kengne & Stephen Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Evolution of the Monetary Transmission Mechanism in the US: the Role of Asset Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 52(3), pages 226-243, April.
    13. P. Fulya Gebeşoğlu & Hasan Murat Ertuğrul, 2014. "GDP Volatility Spillovers from the US and EU to Turkey: A Dynamic Investigation," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 3(2), pages 51-66, May.
    14. Stilianos Fountas & Menelaos Karanasos, 2002. "Are Economic Growth and the Variability of the Business Cycle Related? Evidence from Five European Countries," Working Papers 0063, National University of Ireland Galway, Department of Economics, revised 2002.
    15. Kushal Banik Chowdhury & Nityananda Sarkar, 2019. "Regime Dependent Effect Of Output Growth On Output Growth Uncertainty: Evidence From Oecd Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 257-282, July.
    16. Almaas, Synne S. & Kurita, Takamitsu, 2019. "Modelling the real yen–dollar rate and inflation dynamics based on international parity conditions," Journal of Asian Economics, Elsevier, vol. 61(C), pages 51-64.
    17. Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.
    18. Stilianos Fountas & Menelaos Karanasos & Alfonso Mendoza, 2004. "Output Variability and Economic Growth: the Japanese Case," Bulletin of Economic Research, Wiley Blackwell, vol. 56(4), pages 353-363, October.
    19. Kurita, Takamitsu, 2016. "Markov-switching variance models and structural changes underlying Japanese bond yields: An inquiry into non-linear dynamics," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 74-80.
    20. Iiboshi, Hirokuni & Watanabe, Toshiaki, 2005. "Has the Business Cycle Changed in Japan? A Bayesian Analysis Based on a Markov-Switching Model with Multiple Change-Points," MPRA Paper 93865, University Library of Munich, Germany.

  170. Yoichi Matsubayashi & Shigeyuki Hamori, 2003. "Some international evidence on the stability of aggregate import demand function," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1497-1504.

    Cited by:

    1. Vinh Nguyen Thi Thuy & Duong Trinh Thi Thuy, 2019. "The Impact of Exchange Rate Volatility on Exports in Vietnam: A Bounds Testing Approach," JRFM, MDPI, vol. 12(1), pages 1-14, January.
    2. Ranjini L. Thaver & E. M. Ekanayake, 2010. "The Impact Of Apartheid And International Sanctions On South Africa'S Import Demand Function: An Empirical Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(4), pages 11-22.
    3. Nelson Modeste, 2011. "An Empirical Analysis of the Demand for Imports in Three CARICOM Member Countries: An Application of the Bounds Test for Cointegration," The Review of Black Political Economy, Springer;National Economic Association, vol. 38(1), pages 53-62, March.
    4. Viviane Naimy & Rim El Khoury & José-María Montero & Jana Souk, 2023. "Post-Brexit exchange rate volatility and its impact on UK exports to eurozone countries: A bounds testing approach," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 135-168, March.
    5. Yoichi Matsubayashi & Shigeyuki Hamori, 2009. "Empirical analysis of import demand behavior of least developed countries," Economics Bulletin, AccessEcon, vol. 29(2), pages 1443-1458.
    6. Ranjini L. Thaver & E. M. Ekanayake & Daniel R. Plante, 2012. "An Estimation Of The Impact Of Gear And Nepad On South Africa'S Disaggregated Import Demand Function With Nigeria," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(2), pages 69-79.
    7. Matsubayashi, Yoichi, 2005. "Are US current account deficits unsustainable?: Testing for the private and government intertemporal budget constraints," Japan and the World Economy, Elsevier, vol. 17(2), pages 223-237, April.

  171. Shigeyuki Hamori & Akira Tokihisa, 2002. "Some International Evidence on the Seasonality of Stock Prices," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(1), pages 79-86, April.

    Cited by:

    1. Jeffrey E. Jarrett, 2008. "Predicting Daily Stock Returns: A Lengthy Study of the Hong Kong and Tokyo Stock Exchanges," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 7(1), pages 37-51, April.

  172. Hamori, Shigeyuki, 2001. "Seasonality and stock returns: some evidence from Japan," Japan and the World Economy, Elsevier, vol. 13(4), pages 463-481, December.

    Cited by:

    1. Bo Li & Qian Sun & Changyun Wang, 2014. "Liquidity, Liquidity Risk and Stock Returns: Evidence from Japan," European Financial Management, European Financial Management Association, vol. 20(1), pages 126-151, January.
    2. Lucey, Brian M & Zhao, Shelly, 2008. "Halloween or January? Yet another puzzle," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1055-1069, December.

  173. Shigeyuki Hamori & Naoko Hamori & David A. Anderson, 2001. "An Empirical Analysis of the Efficiency of the Osaka Rice Market During Japan's Tokugawa Era," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(9), pages 861-874, September.

    Cited by:

    1. Bhardwaj, Geetesh & Janardanan, Rajkumar & Rouwenhorst, K. Geert, 2021. "The first commodity futures index of 1933," Journal of Commodity Markets, Elsevier, vol. 23(C).
    2. Takeshi Inoue & Shigeyuki Hamori, 2014. "Market Efficiency of Commodity Futures in India," World Scientific Book Chapters, in: INDIAN ECONOMY Empirical Analysis on Monetary and Financial Issues in India, chapter 6, pages 73-85, World Scientific Publishing Co. Pte. Ltd..
    3. Jean-Pascal Bassino & Thomas Lagoarde-Segot, 2015. "Informational efficiency in the Tokyo Stock Exchange, 1931–40," Economic History Review, Economic History Society, vol. 68(4), pages 1226-1249, November.
    4. Mikio Ito & Kiyotaka Maeda & Akihiko Noda, 2014. "The Futures Premium and Rice Market Efficiency in Prewar Japan," Papers 1404.5381, arXiv.org, revised Sep 2017.
    5. Jean-Pascal Bassino & Thomas Lagoarde-Segot, 2013. "Trading patterns at the Tokyo Stock Exchange, 1931-1940," CEH Discussion Papers 012, Centre for Economic History, Research School of Economics, Australian National University.
    6. Thomas Lagoarde-Segot & Jean Pascal Bassino, 2012. "Informational dynamics and cross market linkages in the Tokyo Stock Exchange, 1931-40," Working Papers 12017, Economic History Society.
    7. Ito, Mikio & Maeda, Kiyotaka & Noda, Akihiko, 2016. "Market efficiency and government interventions in prewar Japanese rice futures markets," Financial History Review, Cambridge University Press, vol. 23(3), pages 325-346, December.
    8. Mikio Ito & Kiyotaka Maeda & Akihiko Noda, 2016. "Market Integration in the Prewar Japanese Rice Markets," Papers 1604.00148, arXiv.org, revised Sep 2017.
    9. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(1), pages 1-9, March.
    10. Bassino, Jean-Pascal & van der Eng, Pierre, 2019. "Japan and the Asian Divergence: Market Integration, Climate Anomalies and Famines during the 18th and 19th Centuries," CEI Working Paper Series 2018-18, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    11. Gary Gorton & Fumio Hayashi & K. Rouwenhorst, 2006. "Commodity Futures: A Japanese Perspective," Yale School of Management Working Papers amz2609, Yale School of Management, revised 01 Feb 2007.
    12. Gary Gorton & K. Geert Rouwenhorst, 2004. "Facts and Fantasies about Commodity Futures," NBER Working Papers 10595, National Bureau of Economic Research, Inc.

  174. Akira Tokihisa & Shigeyuki Hamori, 2001. "Seasonal Integration For Daily Data," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 187-200.

    Cited by:

    1. Méndez Parra, Maximiliano, 2015. "Futures prices, trade and domestic supply of agricultural commodities," Economics PhD Theses 0115, Department of Economics, University of Sussex Business School.

  175. Hamori, Shigeyuki & Matsubayashi, Yoichi, 2001. "An empirical analysis on the stability of Japan's aggregate import demand function," Japan and the World Economy, Elsevier, vol. 13(2), pages 135-144, April.

    Cited by:

    1. Knobel, Alexander, 2011. "Estimation of import demand function in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 24(4), pages 3-26.
    2. Agbola, Frank W. & Damoense, Maylene Y., 2003. "An empirical examination of import demand for pulses in India," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57823, Australian Agricultural and Resource Economics Society.
    3. Byron Gangnes & Craig Parsons, 2004. "Have U.S.-Japan Trade Agreements Made a Difference?," Working Papers 08-2004, Singapore Management University, School of Economics.
    4. Yoichi Matsubayashi & Shigeyuki Hamori, 2003. "Some international evidence on the stability of aggregate import demand function," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1497-1504.
    5. Takamitsu Kurita, 2010. "Investigating time series properties of a dynamic system for Japan's import demand," Economics Bulletin, AccessEcon, vol. 30(1), pages 450-460.
    6. Tuck Cheong Tang, 2008. "Aggregate Import Demand Function for Japan: A Cointegration Re-investigation," Global Economic Review, Taylor & Francis Journals, vol. 37(3), pages 363-377.
    7. Hossain, Akhand Akhtar, 2009. "Structural change in the export demand function for Indonesia: Estimation, analysis and policy implications," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 260-271.
    8. Craig R. Parsons & Anh Thu Nguyen, 2009. "Import variety and productivity in Japan," Economics Bulletin, AccessEcon, vol. 29(3), pages 1947-1959.
    9. Florian Verheyen, 2014. "The stability of German export demand equations – have German exports suffered from the strength of the euro?," International Economics and Economic Policy, Springer, vol. 11(4), pages 529-548, December.
    10. Tang, Tuck Cheong, 2003. "Japanese aggregate import demand function: reassessment from the 'bounds' testing approach," Japan and the World Economy, Elsevier, vol. 15(4), pages 419-436, December.
    11. Yoichi Matsubayashi & Shigeyuki Hamori, 2009. "Empirical analysis of import demand behavior of least developed countries," Economics Bulletin, AccessEcon, vol. 29(2), pages 1443-1458.
    12. Tuck Cheong Tang, 2003. "Cointegration analysis for Japanese import demand: revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 10(14), pages 905-908.
    13. Matsubayashi, Yoichi, 2005. "Are US current account deficits unsustainable?: Testing for the private and government intertemporal budget constraints," Japan and the World Economy, Elsevier, vol. 17(2), pages 223-237, April.

  176. Shigeyuki Hamori & Akira Tokihisa, 2001. "Seasonal cointegration and the money demand function: some evidence from Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 8(5), pages 305-310.

    Cited by:

    1. Simplice A. Asongu & Oludele E. Folarin & Nicholas Biekpe, 2019. "The Stability of Demand for Money in the Proposed Southern African Monetary Union," Working Papers of the African Governance and Development Institute. 19/025, African Governance and Development Institute..
    2. Afşin Şahin & Aysit Tansel & M. Hakan Berument, 2015. "Output–Employment Relationship Across Sectors: A Long- Versus Short-Run Perspective," Bulletin of Economic Research, Wiley Blackwell, vol. 67(3), pages 265-288, July.
    3. Tang, Tuck Cheong, 2004. "Demand for broad money and expenditure components in Japan: an empirical study," Japan and the World Economy, Elsevier, vol. 16(4), pages 487-502, December.
    4. Tang, Chor Foon, 2007. "The stability of money demand function in Japan: Evidence from rolling cointegration approach," MPRA Paper 19807, University Library of Munich, Germany.
    5. Paresh Narayan & Seema Narayan & Vinod Mishra, 2009. "Estimating money demand functions for South Asian countries," Empirical Economics, Springer, vol. 36(3), pages 685-696, June.
    6. Amir Kia, 2002. "Interest Free and Interest-Bearing Money Demand: Policy Invariance and Stability," Working Papers 0214, Economic Research Forum, revised 09 May 2002.
    7. Chor Foon Tang, 2013. "Evidence on Structural Instability in the Japanese Money Demand Function," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 255-272, August.
    8. Paresh Kumar Narayan, 2010. "Modelling money demand for a panel of eight transitional economies," Applied Economics, Taylor & Francis Journals, vol. 42(25), pages 3293-3305.
    9. Lee, Chien-Chiang & Chen, Pei-Fen & Chang, Chun-Ping, 2007. "Testing linearity in a cointegrating STR model for the money demand function: International evidence from G-7 countries," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 293-302.
    10. Méndez Parra, Maximiliano, 2015. "Futures prices, trade and domestic supply of agricultural commodities," Economics PhD Theses 0115, Department of Economics, University of Sussex Business School.
    11. Singh, Sunny Kumar, 2016. "Currency demand stability in the presence of seasonality and endogenous financial innovation: Evidence from India," MPRA Paper 71552, University Library of Munich, Germany.
    12. Kia, Amir & Darrat, Ali F., 2007. "Modeling money demand under the profit-sharing banking scheme: Some evidence on policy invariance and long-run stability," Global Finance Journal, Elsevier, vol. 18(1), pages 104-123.
    13. Tuck Cheong Tang, 2007. "Money demand function for Southeast Asian countries," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 34(6), pages 476-496, November.

  177. Hamori, Shigeyuki, 2000. "Volatility of real GDP: some evidence from the United States, the United Kingdom and Japan," Japan and the World Economy, Elsevier, vol. 12(2), pages 143-152, May.

    Cited by:

    1. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    2. Fabio Gobbi, 2021. "Evaluating Forecasts from State-Dependent Autoregressive Models for US GDP Growth Rate. Comparison with Alternative Approaches," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-7.
    3. Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.
    4. Jorge Miguel Lopo Gonçalves Andraz & Nélia Maria Afonso Norte, 2013. "Output volatility in the OECD: Are the member states becoming less vulnerable to exogenous shocks?," CEFAGE-UE Working Papers 2013_17, University of Evora, CEFAGE-UE (Portugal).
    5. Ho, Kin Yip & Tsui, Albert K.C., 2004. "Analysis of real GDP growth rates of greater China: An asymmetric conditional volatility approach," China Economic Review, Elsevier, vol. 15(4), pages 424-442.
    6. Li, Kui-Wai & Kwok, Ming-Lok, 2009. "Output volatility of five crisis-affected East Asia economies," Japan and the World Economy, Elsevier, vol. 21(2), pages 172-182, March.
    7. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2013. "Conditional Volatility Asymmetry Of Business Cycles: Evidence From Four Oecd Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(3), pages 33-56, September.
    8. Jiranyakul, Komain, 2011. "The Link between Output Growth and Output Volatility in Five Crisis-Affected Asian Countries," MPRA Paper 46068, University Library of Munich, Germany.
    9. Jorge M. Andraz & Nélia M. Norte, 2017. "Gross domestic product growth, volatility and regime changes nexus: the case of Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 1-16, April.
    10. Artiach, Miguel, 2012. "Leverage, skewness and amplitude asymmetric cycles," MPRA Paper 41267, University Library of Munich, Germany.
    11. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2009. "Volatility Dynamics of the UK Business Cycle: a Multivariate Asymmetric Garch Approach," Economie Internationale, CEPII research center, issue 117, pages 31-46.
    12. Mónica Lylián Parra T., 2001. "Evidencia de contagio en la volatilidad de la tasa de interés en Colombia," Coyuntura Económica, Fedesarrollo, June.
    13. Kushal Banik Chowdhury & Nityananda Sarkar, 2019. "Regime Dependent Effect Of Output Growth On Output Growth Uncertainty: Evidence From Oecd Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 257-282, July.
    14. Kushal Banik Chowdhury & Srikanta Kundu & Nityananda Sarkar, 2018. "Regime‐dependent effects of uncertainty on inflation and output growth: evidence from the United Kingdom and the United States," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(4), pages 390-413, September.
    15. Cecilia Bermúdez & Carlos D. Dabús & Germán H. González, 2015. "Reexamining the link between instability and growth in Latin America: A dynamic panel data estimation using k-median clusters," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 52(1), pages 1-23, May.
    16. Saha, Mallika & Dutta, Kumar Debasis & Islam, MD. Shafiqul, 2020. "Explaining the nature of economic volatility based on GDP and international trade: a study on China and the United States," MPRA Paper 111482, University Library of Munich, Germany.
    17. Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.
    18. Stilianos Fountas & Menelaos Karanasos & Alfonso Mendoza, 2004. "Output Variability and Economic Growth: the Japanese Case," Bulletin of Economic Research, Wiley Blackwell, vol. 56(4), pages 353-363, October.
    19. Anthony N. Rezitis & Shaikh Mostak Ahammad, 2016. "Investigating The Interdependency Of Agricultural Production Volatility Spillovers Between Bangladesh, India, And Pakistan," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(1), pages 32-54, March.

  178. Shigeyuki Hamori & Akira Tokihisa, 2000. "Seasonal integration and Japanese aggregate data," Applied Economics Letters, Taylor & Francis Journals, vol. 7(9), pages 591-594.

    Cited by:

    1. Pami Dua & Lokendra Kumawat, 2005. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working papers 136, Centre for Development Economics, Delhi School of Economics.

  179. Shigeyuki Hamori, 2000. "The transmission mechanism of business cycles among Germany, Japan, the UK and the USA," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 405-410.

    Cited by:

    1. Hsieh, Kunlin & Hsieh, Yuching & Hamori, Shigeyuki, 2010. "The interdependence of Taiwanese and Japanese stock prices," MPRA Paper 21475, University Library of Munich, Germany.
    2. Zhang, Xu & Naeem, Muhammad Abubakr & Du, Yuting & Rauf, Abdul, 2024. "Examining the bidirectional ripple effects in the NFT markets: Risky center or hedging center?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    3. Shigeyuki Hamori & Yu-Ching Hsieh & Wan-Jun Yao, 2007. "An Empirical Analysis about Population, Technological Progress, and Economic Growth in Taiwan," Economics Bulletin, AccessEcon, vol. 15(23), pages 1-13.
    4. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
    5. Narayan, Paresh Kumar, 2008. "Understanding the importance of permanent and transitory shocks at business cycle horizons for the UK," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2879-2888.
    6. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    7. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    8. Civcir, İrfan & Ertac Varoglu, Dizem, 2019. "International transmission of monetary and global commodity price shocks to Turkey," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 647-665.
    9. Devanthran, Haritharan, 2009. "Interdependence of SAARC-7 countries: an empirical study of business cycles," MPRA Paper 32798, University Library of Munich, Germany.

  180. Hamori, Shigeyuki & Hamori, Naoko, 2000. "An empirical analysis of economic fluctuations in Japan: 1885-1940," Japan and the World Economy, Elsevier, vol. 12(1), pages 11-19, January.

    Cited by:

    1. Hunt, Lester C. & Ninomiya, Yasushi, 2005. "Primary energy demand in Japan: an empirical analysis of long-term trends and future CO2 emissions," Energy Policy, Elsevier, vol. 33(11), pages 1409-1424, July.
    2. Chen, Shyh-Wei, 2006. "Simultaneously modeling the volatility of the growth rate of real GDP and determining business cycle turning points: Evidence from the U.S., Canada and the UK," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 87-102.

  181. Shigeyuki Hamori & Yuriko Imamura, 2000. "International transmission of stock prices among G7 countries: LA-VAR approach," Applied Economics Letters, Taylor & Francis Journals, vol. 7(9), pages 613-618.

    Cited by:

    1. Fuentes Vélez, Mariana & Pinilla Barrera, Alejandro, 2021. "Transmisión de volatilidad en el Mercado Integrado Latinoamericano (MILA): una evidencia del grado de integración. || Transmission of volatility in the Latin American Integrated Market (MILA): evidenc," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 301-328, June.
    2. Hsieh, Kunlin & Hsieh, Yuching & Hamori, Shigeyuki, 2010. "The interdependence of Taiwanese and Japanese stock prices," MPRA Paper 21475, University Library of Munich, Germany.
    3. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    4. Smales, Lee A., 2020. "Examining the relationship between policy uncertainty and market uncertainty across the G7," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Venus Khim-Sen Liew & Wing-Keung Wong & Zhuo Qiao, 2007. "Does the US IT stock market dominate other IT stock markets: Evidence from multivariate GARCH model," Economics Bulletin, AccessEcon, vol. 6(27), pages 1-7.
    6. Chancharat,Surachai & Valadkhani, Abbas, 2007. "An Empirical Analysis of the Thai and Major International Stock Markets," Economics Working Papers wp07-13, School of Economics, University of Wollongong, NSW, Australia.
    7. Marco Corazza & A. Malliaris & Elisa Scalco, 2010. "Nonlinear Bivariate Comovements of Asset Prices: Methodology, Tests and Applications," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 1-23, January.
    8. Yuan, Xianghui & Jin, Liwei & Lian, Feng, 2021. "The lead–lag relationship between Chinese mainland and Hong Kong stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    9. Mohammed Ziaur Rehman & Musa Ahmed Hazazi, 2014. "Examining Linkages between Saudi Stock Market (TASI) and Selected Stock Markets Indices," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 196-209, October.
    10. Tsutsui, Yoshiro & Hirayama, Kenjiro, 2004. "Are international portfolio adjustments a cause of comovements in stock prices?," Pacific-Basin Finance Journal, Elsevier, vol. 12(4), pages 463-478, September.
    11. Kasilingam Lingaraja & Murugesan Selvam & Vinayagamoorthi Vasanth & Ramachandran Rajesh Ramkumar, 2015. "Long-run Overseas Portfolio Diversification Benefits and Opportunities of Asian Emerging Stock Markets and Developed Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 324-333.
    12. Qiao, Zhuo & Smyth, Russell & Wong, Wing-Keung, 2008. "Volatility switching and regime interdependence between information technology stocks 1995-2005," Global Finance Journal, Elsevier, vol. 19(2), pages 139-156.
    13. Go Tamakoshi & Shigeyuki Hamori, 2011. "Transmission of stock prices amongst European countries before and during the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 3339-3353.
    14. Jeon, Bang Nam & Jang, Beom-Sik, 2004. "The linkage between the US and Korean stock markets: the case of NASDAQ, KOSDAQ, and the semiconductor stocks," Research in International Business and Finance, Elsevier, vol. 18(3), pages 319-340, September.
    15. Chen, Cathy W.S. & Yang, Ming Jing & Gerlach, Richard & Jim Lo, H., 2006. "The asymmetric reactions of mean and volatility of stock returns to domestic and international information based on a four-regime double-threshold GARCH model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 401-418.
    16. Yan Zhang, 2018. "China, Japan and the US Stock Markets and the Global Financial Crisis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 25(1), pages 23-45, March.

  182. Anderson, David A. & Hamori, Shigeyuki, 2000. "A theory of quality signaling in the marriage market," Japan and the World Economy, Elsevier, vol. 12(3), pages 229-242, September.

    Cited by:

    1. Nicolas Vaillant, 2004. "Discrimination in matchmaking: evidence from the price policy of a French marriage bureau," Applied Economics, Taylor & Francis Journals, vol. 36(7), pages 723-729.
    2. Gaelle Guirriec & Nicolas Vaillant, 2005. "From Libertinism to Marital Commitment: The Economics of Marital Search with Heterogeneous Agents," Journal of Bioeconomics, Springer, vol. 7(1), pages 85-98, January.
    3. Vaillant, Nicolas G. & Harrant, Valérie, 2008. "Determinants of the likelihood of finding the right partner in an arranged marriage: Evidence from a French matchmaking agency," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(2), pages 657-671, April.
    4. Fang, Li & Tian, Chuanhao, 2018. "Housing and marital matching: A signaling perspective," China Economic Review, Elsevier, vol. 47(C), pages 27-46.
    5. Vaillant, Nicolas G., 2004. "Estimating the time elapsed between ending a relationship and joining a matchmaking agency: Evidence from a French marriage bureau," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 789-802, December.

  183. Shigeyuki Hamori & Toshifumi Tokunaga, 1999. "Habit formation and durability and consumption: some evidence from income quintile groups in Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 6(6), pages 397-402.

    Cited by:

    1. Raymund Abara, 2006. "Estimation and evaluation of asset pricing models with habit formation using Philippine data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 493-497.

  184. Naoko Hamori & Shigeyuki Hamori, 1999. "Stability of the money demand function in Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 6(5), pages 329-332.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.
    2. Nitin, Arora & Asghar, OsatiEraghi, 2016. "Does India have a stable demand for money function after reforms? A macroeconometric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 44, pages 25-37.
    3. Paresh Narayan & Seema Narayan & Vinod Mishra, 2009. "Estimating money demand functions for South Asian countries," Empirical Economics, Springer, vol. 36(3), pages 685-696, June.
    4. Emmanuel Anoruo, 2002. "Stability of the Nigerian M2 Money Demand Function in the SAP Period," Economics Bulletin, AccessEcon, vol. 14(3), pages 1-9.
    5. Ozturk, Ilhan & Acaravci, Ali, 2008. "The Demand for Money in Transition Economies," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(2), pages 35-43, June.
    6. Omer, Muhammad, 2009. "Stability of money demand function in Pakistan," MPRA Paper 35306, University Library of Munich, Germany.
    7. Muhammad Ahad, 2017. "Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan," Global Business Review, International Management Institute, vol. 18(4), pages 811-824, August.
    8. Paresh Kumar Narayan, 2010. "Modelling money demand for a panel of eight transitional economies," Applied Economics, Taylor & Francis Journals, vol. 42(25), pages 3293-3305.
    9. Abdullah, Muhammad & Chani, Muhammad Irfan & Ali, Amjad, 2012. "Determinants of Money Demand in Pakistan: Disaggregated Expenditure Approach," MPRA Paper 50977, University Library of Munich, Germany, revised 2013.
    10. Ferda HALICIOGLU & Mehmet UGUR, 2005. "On Stability of the Demand for Money in a Developing OECD," Macroeconomics 0508001, University Library of Munich, Germany.

  185. Shigeyuki Hamori & Kazumi Asako, 1999. "Government consumption and fiscal policy: some evidence from Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 551-555.

    Cited by:

    1. Sanghamitra Bandyopadhyay & Joan Esteban, 2009. "Redistributive Taxation, PublicExpenditure and the Size of Government," STICERD - Distributional Analysis Research Programme Papers 095, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Yoshino, Naoyuki & Miyamoto, Hiroaki, 2017. "Declined effectiveness of fiscal and monetary policies faced with aging population in Japan," Japan and the World Economy, Elsevier, vol. 42(C), pages 32-44.
    3. Okubo, Masakatsu, 2003. "Intratemporal substitution between private and government consumption: the case of Japan," Economics Letters, Elsevier, vol. 79(1), pages 75-81, April.
    4. Sanghamitra Bandyopadhyay & Joan Esteban, 2007. "Redistributive Taxation and PublicExpenditures," STICERD - Distributional Analysis Research Programme Papers 95, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. Yoshino, Naoyuki & Miyamoto, Hiroaki, 2017. "Decreased Effectiveness of Fiscal and Monetary Policies in Japan’s Aging Society," ADBI Working Papers 691, Asian Development Bank Institute.
    6. Kato, Ryuta Ray & Miyamoto, Hiroaki, 2013. "Fiscal stimulus and labor market dynamics in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 30(C), pages 33-58.
    7. Ryuta Ray Kato & Hiroaki Miyamoto, 2015. "Effects of Fiscal Stimulus on the Labor Market," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 11(2), pages 277-302, March.
    8. Takeo Hori & Noritaka Maebayashi, 2013. "Indeterminacy and utility-generating government spending under balanced-budget fiscal policies," Discussion Papers in Economics and Business 13-13, Osaka University, Graduate School of Economics.

  186. Shigeyuki Hamori, 1998. "Money, exchange rates and international business cycle between Japan and the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 5(1), pages 31-35.

    Cited by:

    1. Nadenichek, Jon, 2000. "The Japan-US trade imbalance: a real business cycle perspective," Japan and the World Economy, Elsevier, vol. 12(3), pages 255-271, September.
    2. Hatemi-J, Abdulnasser, 2002. "Export performance and economic growth nexus in Japan: a bootstrap approach," Japan and the World Economy, Elsevier, vol. 14(1), pages 25-33, January.

  187. Shigeyuki Hamori & Shin-Ichi Kitasaka, 1998. "A numerical analysis of the monetary aspects of the Japanese economy: the cash-in-advance approach," Applied Financial Economics, Taylor & Francis Journals, vol. 8(1), pages 51-59.

    Cited by:

    1. Nadenichek, Jon, 2000. "The Japan-US trade imbalance: a real business cycle perspective," Japan and the World Economy, Elsevier, vol. 12(3), pages 255-271, September.
    2. Hatemi-J, Abdulnasser, 2002. "Export performance and economic growth nexus in Japan: a bootstrap approach," Japan and the World Economy, Elsevier, vol. 14(1), pages 25-33, January.

  188. Hamori, Shigeyuki, 1998. "Defying the conventional wisdom: US consumers are found to be more risk averse than those of Japan," Economic Modelling, Elsevier, vol. 15(2), pages 217-235, April.

    Cited by:

    1. Tatsuyoshi Miyakoshi, 2010. "A Welfare Cost Of The Lost Decade In Japan," Australian Economic Papers, Wiley Blackwell, vol. 49(1), pages 28-43, March.
    2. Pagano, Patrizio, 2004. "Habit persistence and the marginal propensity to consume in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 18(3), pages 316-329, September.

  189. Hamori, Shigeyuki & Tokihisa, Akira, 1997. "Testing for a unit root in the presence of a variance shift1," Economics Letters, Elsevier, vol. 57(3), pages 245-253, December.

    Cited by:

    1. Aparicio, Felipe M. & García, Ana, 2004. "A range unit root test," DES - Working Papers. Statistics and Econometrics. WS ws041104, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Charles R. Nelson & Jeremy M. Piger & Eric Zivot, 2001. "Markov regime switching and unit root tests," Working Papers 2001-013, Federal Reserve Bank of St. Louis.
    3. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    4. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    5. Hanck, Christoph & Czudaj, Robert, 2013. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," Ruhr Economic Papers 434, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Maurice Obstfeld & Alan M. Taylor, 2002. "Globalization and Capital Markets," NBER Working Papers 8846, National Bureau of Economic Research, Inc.
    7. Daiki Maki, 2015. "Wild bootstrap tests for unit root in ESTAR models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 475-490, September.
    8. Paulo M.M. Rodrigues & Gabriel Zsurkis, 2019. "A reexamination of inflation persistence dynamics in OECD countries: A new approach," Working Papers w201909, Banco de Portugal, Economics and Research Department.
    9. Steven Cook, 2006. "The robustness of modified unit root tests in the presence of GARCH," Quantitative Finance, Taylor & Francis Journals, vol. 6(4), pages 359-363.
    10. José L. Fernández-Serrano & Simón Sosvilla-Rivero, "undated". "Modelling evolving long-run relationships: the linkages between stock markets in asia," Working Papers 2000-11, FEDEA.
    11. Demetrescu, Matei & Hanck, Christoph, 2012. "A simple nonstationary-volatility robust panel unit root test," Economics Letters, Elsevier, vol. 117(1), pages 10-13.
    12. Quentin Giai Gianetto & Hamdi Raïssi, 2015. "Testing Instantaneous Causality in Presence of Nonconstant Unconditional Covariance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 46-53, January.
    13. Kim, Tae-Hwan & Leybourne, Stephen & Newbold, Paul, 2002. "Unit root tests with a break in innovation variance," Journal of Econometrics, Elsevier, vol. 109(2), pages 365-387, August.
    14. Herwartz, Helmut & Siedenburg, Florian, 2009. "The effects of variance breaks on homogenous panel unit root tests," Economics Working Papers 2009-07, Christian-Albrechts-University of Kiel, Department of Economics.
    15. José L. Fernández-Serrano & Simón Sosvilla-Rivero, "undated". "Modelling the linkages between US and Latin American stock markets," Working Papers 2002-14, FEDEA.
    16. Cook, Steven, 2006. "Testing for cointegration in the presence of mis-specified structural change," Statistics & Probability Letters, Elsevier, vol. 76(13), pages 1380-1384, July.
    17. Eklund, Bruno, 2003. "A nonlinear alternative to the unit root hypothesis," SSE/EFI Working Paper Series in Economics and Finance 547, Stockholm School of Economics.
    18. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    19. Hanck, Christoph, 2008. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," MPRA Paper 11988, University Library of Munich, Germany.
    20. Herwartz, Helmut & Maxand, Simone & Walle, Yabibal M., 2017. "Heteroskedasticity-robust unit root testing for trending panels," University of Göttingen Working Papers in Economics 314, University of Goettingen, Department of Economics.
    21. Charles Nelson & Jeremy Piger & Eric Zivot, 1999. "Unit Root Tests in the Presence of Markov Regime-Switching," Working Papers 0040, University of Washington, Department of Economics.
    22. Giuseppe Cavaliere & Anders Rahbek & A. M. Robert Taylor, 2008. "Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility," Discussion Papers 08-34, University of Copenhagen. Department of Economics.
    23. Cheng, Xu & Phillips, Peter C.B., 2012. "Cointegrating rank selection in models with time-varying variance," Journal of Econometrics, Elsevier, vol. 169(2), pages 155-165.
    24. Chew Lian Chua & Sandy Suardi, 2007. "Markov‐Switching Mean Reversion in Short‐Term Interest Rates: Evidence from East Asian Economies," The Economic Record, The Economic Society of Australia, vol. 83(263), pages 383-397, December.
    25. Irvin Tucker, 2004. "Pigskins and publications revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 11(13), pages 843-845.
    26. Sven Otto, 2020. "Unit Root Testing with Slowly Varying Trends," Papers 2003.04066, arXiv.org, revised Aug 2020.
    27. Helmut Herwartz & Yabibal M. Walle, 2018. "A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility," Computational Statistics, Springer, vol. 33(1), pages 379-411, March.
    28. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.
    29. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroscedasticity," MPRA Paper 24053, University Library of Munich, Germany.
    30. Ventosa-Santaulária, Daniel & Gómez-Zaldívar, Manuel, 2009. "Broken mean stationarity and the validity of the Dickey-Fuller test: the case of controlled inflation," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    31. Cavaliere, Giuseppe, 2004. "Testing stationarity under a permanent variance shift," Economics Letters, Elsevier, vol. 82(3), pages 403-408, March.
    32. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    33. Hanck, C.H., 2009. "Nonstationary-volatility robust panel unit root tests and the great moderation," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    34. Bykhovskaya, Anna & Duffy, James A., 2024. "The local to unity dynamic Tobit model," Journal of Econometrics, Elsevier, vol. 241(2).
    35. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2005. "Stationarity Tests Under Time-Varying Second Moments," Econometric Theory, Cambridge University Press, vol. 21(6), pages 1112-1129, December.
    36. Brendan K. Beare, 2008. "Unit Root Testing with Unstable Volatility," Economics Papers 2008-W06, Economics Group, Nuffield College, University of Oxford.
    37. Kazuhiro Ohtani, 2004. "Exact distribution and critical values of a unit root test in the presence of change in variance," Applied Economics Letters, Taylor & Francis Journals, vol. 11(14), pages 855-860.
    38. Baghestani, Hamid, 2008. "A random walk approach to predicting US 30-year home mortgage rates," Journal of Housing Economics, Elsevier, vol. 17(3), pages 225-233, September.
    39. Su, Jen-Je & Cheung, Adrian (Wai-Kong) & Roca, Eduardo, 2014. "Does Purchasing Power Parity hold? New evidence from wild-bootstrapped nonlinear unit root tests in the presence of heteroskedasticity," Economic Modelling, Elsevier, vol. 36(C), pages 161-171.
    40. Helmut Herwartz & Florian Siedenburg, 2013. "To converge or not converge: unit labor cost inflation in the Euro area," Empirical Economics, Springer, vol. 44(2), pages 455-467, April.
    41. Hao Jin & Si Zhang & Jinsuo Zhang, 2017. "Spurious regression due to neglected of non-stationary volatility," Computational Statistics, Springer, vol. 32(3), pages 1065-1081, September.
    42. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2007. "Testing for unit roots in time series models with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 140(2), pages 919-947, October.
    43. Maki, Daiki, 2008. "The size performance of a nonparametric unit root test under a variance shift," Statistics & Probability Letters, Elsevier, vol. 78(6), pages 743-748, April.
    44. Helmut Herwartz & Florian Siedenburg & Yabibal M. Walle, 2016. "Heteroskedasticity Robust Panel Unit Root Testing Under Variance Breaks in Pooled Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 727-750, May.
    45. Kourogenis, Nikolaos & Pittis, Nikitas, 2008. "Cointegration, variance shifts and the limiting distribution of the OLS estimator," Economics Letters, Elsevier, vol. 99(1), pages 103-106, April.
    46. Sen, Amit, 2007. "On the distribution of Dickey-Fuller unit root statistics when there is a break in the innovation variance," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 63-68, January.
    47. D. Ventosa-Santaul a & M. G -Zald & F. H. Wallace, 2015. "The real exchange rate, regime changes and volatility shifts," Applied Economics, Taylor & Francis Journals, vol. 47(24), pages 2445-2454, May.
    48. Chew Lian Chua & Sandy Suardi, 2005. "Is There a Unit Root in East-Asian Short-Term Interest Rates?," Melbourne Institute Working Paper Series wp2005n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    49. Sven Otto, 2021. "Unit root testing with slowly varying trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 85-106, January.
    50. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2002. "Residual-based tests for cointegration and multiple regime shifts," NIPE Working Papers 7/2002, NIPE - Universidade do Minho.

  190. Hamori, Shigeyuki, 1997. "Risk premiums and conditional covariances in tests of asset pricing models: Some evidence from Japan," Japan and the World Economy, Elsevier, vol. 9(3), pages 413-430, August.

    Cited by:

    1. Hamori, Shigeyuki, 2001. "Seasonality and stock returns: some evidence from Japan," Japan and the World Economy, Elsevier, vol. 13(4), pages 463-481, December.
    2. Iqbal, Javed & Brooks, Robert & Galagedera, Don U.A., 2010. "Testing conditional asset pricing models: An emerging market perspective," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 897-918, September.

  191. Shigeyuki Hamori & Shin-Ichi Kitasaka, 1997. "The characteristics of the business cycle in Japan," Applied Economics, Taylor & Francis Journals, vol. 29(9), pages 1105-1113.

    Cited by:

    1. Nadenichek, Jon, 2000. "The Japan-US trade imbalance: a real business cycle perspective," Japan and the World Economy, Elsevier, vol. 12(3), pages 255-271, September.
    2. Naohito Abe, 2004. "The Multi‐Sector Business Cycle Model and Aggregate Shocks: An Empirical Analysis," The Japanese Economic Review, Japanese Economic Association, vol. 55(1), pages 101-118, March.
    3. Hatemi-J, Abdulnasser, 2002. "Export performance and economic growth nexus in Japan: a bootstrap approach," Japan and the World Economy, Elsevier, vol. 14(1), pages 25-33, January.
    4. Lyubomir Ivanov, 2005. "Is "The ideal filter" really Ideal: The usage of Frequency Filtering and Spurious Cycles," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 3(1), pages 79-96.

  192. Shigeyuki Hamori, 1996. "Consumption growth and the intertemporal elasticity of substitution: some evidence from income quintile groups in Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 3(8), pages 529-532.

    Cited by:

    1. Masaya Sakuragawa & Kaoru Hosono, 2010. "Fiscal Sustainability Of Japan: A Dynamic Stochastic General Equilibrium Approach," The Japanese Economic Review, Japanese Economic Association, vol. 61(4), pages 517-537, December.
    2. Hibiki Ichiue & Shusaku Nishiguchi, 2013. "Inflation Expectations and Consumer Spending at the Zero Bound: Micro Evidence," Bank of Japan Working Paper Series 13-E-11, Bank of Japan.
    3. Kurita, Takamitsu, 2010. "Co-breaking, cointegration, and weak exogeneity: Modelling aggregate consumption in Japan," Economic Modelling, Elsevier, vol. 27(2), pages 574-584, March.
    4. Real Arai & Junji Ueda, 2012. "A Numerical Evaluation on a Sustainable Size of Primary Deficit in Japan," KIER Working Papers 823, Kyoto University, Institute of Economic Research.
    5. Ben-Gad, Michael, 2012. "The two sector endogenous growth model: An atlas," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 706-722.
    6. Gardes, François & Merrigan, Philip, 2008. "Individual needs and social pressure: Evidence on the Easterlin hypothesis using repeated cross-section surveys of Canadian households," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 582-596, June.
    7. Ben-Gad, M., 2009. "The two sector endogenous growth model: an atlas," Working Papers 09/02, Department of Economics, City University London.
    8. Masasaki Fuse, 2004. "Estimating intertemporal substitution in Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 267-269.
    9. Michael Ben-Gad, 2008. "The Two Sector Endogenous Growth Model and the Intertemporal Elasticity of Substitution: An Atlas," 2008 Meeting Papers 512, Society for Economic Dynamics.
    10. Biederman, Daniel K. & Goenner, Cullen F., 2008. "A life-cycle approach to the intertemporal elasticity of substitution," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 481-498, March.
    11. Julian Thimme, 2017. "Intertemporal Substitution In Consumption: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 226-257, February.

  193. Hamori, Shigeyuki, 1993. "Test of the international equity integration of Japan," Economics Letters, Elsevier, vol. 42(1), pages 71-76.

    Cited by:

    1. Shigeyuki Hamori, 1996. "Consumption growth and the intertemporal elasticity of substitution: some evidence from income quintile groups in Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 3(8), pages 529-532.
    2. Hamori, Shigeyuki, 1992. "On the structural stability of preference parameters obtained from Japanese financial market data," Economics Letters, Elsevier, vol. 40(4), pages 459-464, December.
    3. Lund, Jesper & Engsted, Tom, 1996. "GMM and present value tests of the C-CAPM: evidence from the Danish, German, Swedish and UK stock markets," Journal of International Money and Finance, Elsevier, vol. 15(4), pages 497-521, August.

  194. Hamori, Shigeyuki, 1992. "On the structural stability of preference parameters obtained from Japanese financial market data," Economics Letters, Elsevier, vol. 40(4), pages 459-464, December.

    Cited by:

    1. Sen, Amit, 1999. "Approximate p-values of predictive tests for structural stability," Economics Letters, Elsevier, vol. 63(3), pages 245-253, June.
    2. Shigeyuki Hamori & Shin-Ichi Kitasaka, 1998. "A numerical analysis of the monetary aspects of the Japanese economy: the cash-in-advance approach," Applied Financial Economics, Taylor & Francis Journals, vol. 8(1), pages 51-59.
    3. Kazufumi Yamana, 2016. "Structural Household Finance," Discussion papers ron279, Policy Research Institute, Ministry of Finance Japan.
    4. Lund, Jesper & Engsted, Tom, 1996. "GMM and present value tests of the C-CAPM: evidence from the Danish, German, Swedish and UK stock markets," Journal of International Money and Finance, Elsevier, vol. 15(4), pages 497-521, August.

  195. Hamori, Shigeyuki, 1992. "Test of C-CAPM for Japan: 1980-1988," Economics Letters, Elsevier, vol. 38(1), pages 67-72, January.

    Cited by:

    1. Chen, Ming-Hsiang, 2003. "Risk and return: CAPM and CCAPM," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(2), pages 369-393.
    2. Hideaki Tamura & Yoichi Matsuabayashi, 2016. "Alternative Resolution to the Mehra?Prescott Puzzle: Verification by the Original Data," Discussion Papers 1634, Graduate School of Economics, Kobe University.
    3. Mikio Ito & Akihiko Noda, 2012. "The GEL estimates resolve the risk-free rate puzzle in Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 365-374, March.
    4. Pagano, Patrizio, 2004. "Habit persistence and the marginal propensity to consume in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 18(3), pages 316-329, September.
    5. Nader Shahzad Virk, 2013. "Evidence for state and time nonseparable preferences: the case of Finland," Applied Financial Economics, Taylor & Francis Journals, vol. 23(24), pages 1821-1838, December.
    6. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    7. Shigeyuki Hamori, 1996. "Consumption growth and the intertemporal elasticity of substitution: some evidence from income quintile groups in Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 3(8), pages 529-532.
    8. Aono, Kohei & Iwaisako, Tokuo, 2013. "The consumption–wealth ratio, real estate wealth, and the Japanese stock market," Japan and the World Economy, Elsevier, vol. 25, pages 39-51.
    9. Shigeyuki Hamori & Shin-Ichi Kitasaka, 1998. "A numerical analysis of the monetary aspects of the Japanese economy: the cash-in-advance approach," Applied Financial Economics, Taylor & Francis Journals, vol. 8(1), pages 51-59.
    10. Faff, Robert W., 1998. "The empirical relationship between aggregate consumption and security prices in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 213-224, May.
    11. Myong-Il Kang, 2010. "Can the Consumption-Free Nonexpected Utility Model Solve the Risk PremiumPuzzle? An Empirical Study of the Japanese Stock Market," ISER Discussion Paper 0783, Institute of Social and Economic Research, Osaka University.
    12. Nakano, Katsura & Saito, Makoto, 1998. "Asset Pricing in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 12(2), pages 151-166, June.
    13. Saito, Makoto, 1999. "Dynamic Allocation and Pricing in Incomplete Markets: A Survey," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(1), pages 45-75, May.
    14. Hamori, Shigeyuki, 1992. "On the structural stability of preference parameters obtained from Japanese financial market data," Economics Letters, Elsevier, vol. 40(4), pages 459-464, December.
    15. Lund, Jesper & Engsted, Tom, 1996. "GMM and present value tests of the C-CAPM: evidence from the Danish, German, Swedish and UK stock markets," Journal of International Money and Finance, Elsevier, vol. 15(4), pages 497-521, August.
    16. Chen, Ming-Hsiang & Bidarkota, Prasad V., 2004. "Consumption equilibrium asset pricing in two Asian emerging markets," Journal of Asian Economics, Elsevier, vol. 15(2), pages 305-319, April.
    17. Azam Mohammadzadeh & Mohammad Nabi Shahiki Tash & Reza Roshan, 2016. "Investigating and Comparing Some Consumption-based Asset Pricing Models: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1884-1894.
    18. Robert Faff & Barry Oliver, 1998. "Consumption versus market betas of Australian industry portfolios," Applied Economics Letters, Taylor & Francis Journals, vol. 5(8), pages 513-517.

Chapters

  1. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2021. "Which Factors Will Affect the ESG Index in the USA and Europe: Stock, Crude Oil, or Gold?," SpringerBriefs in Economics, in: ESG Investment in the Global Economy, chapter 0, pages 53-70, Springer.

    Cited by:

    1. Arfaoui, Nadia & Naeem, Muhammad Abubakr & Boubaker, Sabri & Mirza, Nawazish & Karim, Sitara, 2023. "Interdependence of clean energy and green markets with cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    2. Ook Lee & Hanseon Joo & Hayoung Choi & Minjong Cheon, 2022. "Proposing an Integrated Approach to Analyzing ESG Data via Machine Learning and Deep Learning Algorithms," Sustainability, MDPI, vol. 14(14), pages 1-14, July.

  2. Wenting Zhang & Tadahiro Nakajima & Shigeyuki Hamori, 2021. "Does ESG Index Have Strong Conditional Correlations with Sustainability Related Stock Indices?," SpringerBriefs in Economics, in: ESG Investment in the Global Economy, chapter 0, pages 21-35, Springer.

    Cited by:

    1. Ook Lee & Hanseon Joo & Hayoung Choi & Minjong Cheon, 2022. "Proposing an Integrated Approach to Analyzing ESG Data via Machine Learning and Deep Learning Algorithms," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    2. Sharma, Gagan Deep & Shahbaz, Muhammad & Singh, Sanjeet & Chopra, Ritika & Cifuentes-Faura, Javier, 2023. "Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States," Resources Policy, Elsevier, vol. 80(C).
    3. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).

  3. Xie He & Guizhou Liu & Shigeyuki Hamori, 2021. "Measuring Tail Dependencies Between ESG and Renewable Energy Stocks: A Copula Approach," SpringerBriefs in Economics, in: ESG Investment in the Global Economy, chapter 0, pages 37-52, Springer.

    Cited by:

    1. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).

  4. Yulian Zhang & Tadahiro Nakajima & Shigeyuki Hamori, 2021. "How Does the Environmental, Social, and Governance Index Impacts the Financial Market and Macro-Economy?," SpringerBriefs in Economics, in: ESG Investment in the Global Economy, chapter 0, pages 71-100, Springer.

    Cited by:

    1. Antonella Francesca Cicchiello & Ferdinando Marrazza & Salvatore Perdichizzi, 2023. "Non‐financial disclosure regulation and environmental, social, and governance (ESG) performance: The case of EU and US firms," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1121-1128, May.

  5. Takeshi Inoue & Shigeyuki Hamori, 2019. "Financial Inclusion and Economic Growth: Is Banking Breadth Important for Economic Growth?," World Scientific Book Chapters, in: Financial Inclusion, Remittance Inflows, and Poverty Reduction in Developing Countries: Evidence from Empirical Analyses, chapter 1, pages 1-16, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Dr. Aysha Sami Latif & Syed Hassan Bukhari & Dr. Muhammad Mahmood Shah Khan, 2023. "Impact Of Institutional Quality, Financial Inclusion, And Information Communication Technology On Economic Growth: Evidence From Selected Asian Countries," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 1-6.

  6. Takeshi Inoue & Shigeyuki Hamori, 2016. "Effects of Remittances on Poverty Reduction in Asia," World Scientific Book Chapters, in: Takuji Kinkyo & Takeshi Inoue & Shigeyuki Hamori (ed.), FINANCIAL LINKAGES, REMITTANCES, AND RESOURCE DEPENDENCE IN EAST ASIA, chapter 6, pages 101-117, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Alessio Ciarlone, 2023. "Remittances in times of crisis: evidence from Italian corridors," Temi di discussione (Economic working papers) 1402, Bank of Italy, Economic Research and International Relations Area.
    2. Inoue, Takeshi, 2018. "Financial development, remittances, and poverty reduction: Empirical evidence from a macroeconomic viewpoint," Journal of Economics and Business, Elsevier, vol. 96(C), pages 59-68.
    3. Peter Nderitu GITHAIGA, 2019. "Foreign Remittances, Private Sector Investment and Banking Sector Development," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 3(2), pages 85-112.

  7. Takuji Kinkyo & Takeshi Inoue & Shigeyuki Hamori, 2016. "Introduction," World Scientific Book Chapters, in: Takuji Kinkyo & Takeshi Inoue & Shigeyuki Hamori (ed.), FINANCIAL LINKAGES, REMITTANCES, AND RESOURCE DEPENDENCE IN EAST ASIA, chapter 1, pages 1-9, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Abhnil Amtesh Prasad & Merlinde Kay, 2021. "Prediction of Solar Power Using Near-Real Time Satellite Data," Energies, MDPI, vol. 14(18), pages 1-20, September.
    2. Tetsuji Okazaki, 2020. "Impacts of the Industrial Revolution on Wages and Skills of Workers: The Silk Weaving Industry in Early Twentieth-Century Japan," CIRJE F-Series CIRJE-F-1147, CIRJE, Faculty of Economics, University of Tokyo.

  8. Xiaojing Cai & Shigeyuki Hamori, 2016. "Business Cycle Volatility and Hot Money in Emerging East Asian Markets," World Scientific Book Chapters, in: Takuji Kinkyo & Takeshi Inoue & Shigeyuki Hamori (ed.), FINANCIAL LINKAGES, REMITTANCES, AND RESOURCE DEPENDENCE IN EAST ASIA, chapter 4, pages 59-80, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Xiaojing Cai & Shigeyuki Hamori & Lu Yang & Shuairu Tian, 2020. "Multi-Horizon Dependence between Crude Oil and East Asian Stock Markets and Implications in Risk Management," Energies, MDPI, vol. 13(2), pages 1-24, January.

  9. Guifu Chen & Shigeyuki Hamori, 2014. "Formal and Informal Employment in Urban China: Income Differentials," SpringerBriefs in Economics, in: Rural Labor Migration, Discrimination, and the New Dual Labor Market in China, edition 127, chapter 0, pages 77-96, Springer.

    Cited by:

    1. Mohamed Amara, 2016. "The linkages between formal and informal employment growth in Tunisia: a spatial simultaneous equations approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 203-227, January.

  10. Takeshi Inoue & Shigeyuki Hamori, 2014. "Causal Relationships in Mean and Variance between Stock Returns and Foreign Institutional Investment in India," World Scientific Book Chapters, in: INDIAN ECONOMY Empirical Analysis on Monetary and Financial Issues in India, chapter 5, pages 53-72, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Snowden, Nicholas & Muñoz, Jesús, 2012. "Building a BRIC? Stock Market Opening and Investment Finance in India since Liberalization," World Development, Elsevier, vol. 40(6), pages 1109-1121.
    2. Kumar, Sundaram, 2009. "Investigating causal relationship between stock return with respect to exchange rate and FII: evidence from India," MPRA Paper 15793, University Library of Munich, Germany.
    3. Hemantkumar P. Bulsara & Vaishali Samir Dhingra & Shailesh Gandhi, 2015. "Dynamic Interactions between Foreign Institutional Investment Flows and Stock Market Returns – The Case of India," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(3), September.
    4. Kapil Choudhary & Parminder Singh & Amit Soni, 2022. "Relationship Between FIIs’ Herding and Returns in the Indian Equity Market: Further Empirical Evidence," Global Business Review, International Management Institute, vol. 23(1), pages 137-155, February.

  11. Guifu Chen & Shigeyuki Hamori, 2014. "A Solution to the Migrant Labor Shortage and Rural Labor Surplus in China," SpringerBriefs in Economics, in: Rural Labor Migration, Discrimination, and the New Dual Labor Market in China, edition 127, chapter 0, pages 23-38, Springer.

    Cited by:

    1. Christoph Scherrer, 2018. "Labour surplus is here to stay: why ‘decent work for all’ will remain elusive," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(2), pages 293-307, October.
    2. Christoph Scherrer, 2018. "The Disrupted Passage from an Agrarian Rural to an Industrial Urban Workforce in Most Countries in the Global South," Agrarian South: Journal of Political Economy, Centre for Agrarian Research and Education for South, vol. 7(3), pages 301-319, December.

  12. Guifu Chen & Shigeyuki Hamori, 2014. "Bivariate Probit Analysis of the Differences Between Male and Female Formal Employment in Urban China," SpringerBriefs in Economics, in: Rural Labor Migration, Discrimination, and the New Dual Labor Market in China, edition 127, chapter 0, pages 65-76, Springer.
    See citations under working paper version above.
  13. Takeshi Inoue & Shigeyuki Hamori, 2014. "Market Efficiency of Commodity Futures in India," World Scientific Book Chapters, in: INDIAN ECONOMY Empirical Analysis on Monetary and Financial Issues in India, chapter 6, pages 73-85, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.
  14. Takeshi Inoue & Shigeyuki Hamori, 2014. "An Empirical Analysis of the Money Demand Function in India," World Scientific Book Chapters, in: INDIAN ECONOMY Empirical Analysis on Monetary and Financial Issues in India, chapter 2, pages 9-26, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.
  15. Guifu Chen & Shigeyuki Hamori, 2014. "Do Chinese Employers Discriminate Against Females When Hiring Employees?," SpringerBriefs in Economics, in: Rural Labor Migration, Discrimination, and the New Dual Labor Market in China, edition 127, chapter 0, pages 39-51, Springer.
    See citations under working paper version above.
  16. Takeshi Inoue & Shigeyuki Hamori, 2014. "Introduction," World Scientific Book Chapters, in: INDIAN ECONOMY Empirical Analysis on Monetary and Financial Issues in India, chapter 1, pages 1-5, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Abhnil Amtesh Prasad & Merlinde Kay, 2021. "Prediction of Solar Power Using Near-Real Time Satellite Data," Energies, MDPI, vol. 14(18), pages 1-20, September.

  17. Fengbao Yin & Shigeyuki Hamori, 2013. "Globalization And Economic Growth In East Asia," World Scientific Book Chapters, in: Takuji Kinkyo & Yoichi Matsubayashi & Shigeyuki Hamori (ed.), Global Linkages and Economic Rebalancing in East Asia, chapter 6, pages 109-138, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Mohamed Salah Mansour & Miriam Wendel, 2015. "Finance and Inequality – Evidence from East Asia," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 3(3), pages 1-16.
    2. Satoshi Shimizu, 2018. "Development of Asian Bond Markets and Challenges: Keys to Market Expansion," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 14(5), pages 955-1000, September.

  18. Takeshi Inoue & Yuki Toyoshima & Shigeyuki Hamori, 2013. "Inflation Targeting In South Korea, Indonesia, The Philippines And Thailand: The Impact On Business Cycle Synchronization Between Each Country And The World," World Scientific Book Chapters, in: Takuji Kinkyo & Yoichi Matsubayashi & Shigeyuki Hamori (ed.), Global Linkages and Economic Rebalancing in East Asia, chapter 5, pages 85-108, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Faisal Rachman, 2016. "Is Inflation Target Announced by Bank Indonesia the Most Accurate Inflation Forecast?," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 62, pages 98-120, August.
    2. Ulrich Volz, 2015. "On the Future of Inflation Targeting in East Asia," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 638-652, August.
    3. Morgan, Peter J., 2013. "Monetary Policy Frameworks in Asia: Experience, Lessons, and Issues," ADBI Working Papers 435, Asian Development Bank Institute.
    4. Pham, Thu Anh Thi & Nguyen, Thong Trung & Nasir, Muhammad Ali & Duc Huynh, Toan Luu, 2023. "Exchange rate pass-through: A comparative analysis of inflation targeting & non-targeting ASEAN-5 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 158-167.
    5. Yee Peng Chow & Junaina Muhammad & Bany Ariffin Amin Noordin & Fan Fah Cheng, 2017. "Macroeconomic Uncertainty in South East Asia: A Comparative Study between Malaysia and Indonesia," Research in Applied Economics, Macrothink Institute, vol. 9(4), pages 1-24, December.

  19. Shigeyuki Hamori & Naoko Hamori, 2009. "Empirical Analysis of the Money Demand Function in the Euro Area," World Scientific Book Chapters, in: Introduction Of The Euro And The Monetary Policy Of The European Central Bank, chapter 2, pages 31-58, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. S. M. Woahid Murad & Ruhul Salim & Md. Golam Kibria, 2021. "Asymmetric Effects of Economic Policy Uncertainty on the Demand for Money in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 451-470, September.
    2. Muhammad Ahad, 2017. "Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan," Global Business Review, International Management Institute, vol. 18(4), pages 811-824, August.

Books

  1. Tadahiro Nakajima & Shigeyuki Hamori & Xie He & Guizhou Liu & Wenting Zhang & Yulian Zhang & Tiantian Liu, 2021. "ESG Investment in the Global Economy," SpringerBriefs in Economics, Springer, number 978-981-16-2990-7, June.

    Cited by:

    1. Antonella Francesca Cicchiello & Ferdinando Marrazza & Salvatore Perdichizzi, 2023. "Non‐financial disclosure regulation and environmental, social, and governance (ESG) performance: The case of EU and US firms," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1121-1128, May.
    2. Ook Lee & Hanseon Joo & Hayoung Choi & Minjong Cheon, 2022. "Proposing an Integrated Approach to Analyzing ESG Data via Machine Learning and Deep Learning Algorithms," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    3. Lidia Maria BRUMA, 2023. "Cloud Incident Response - a Comprehensive Analysis," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 27(4), pages 32-43.

  2. Takuji Kinkyo & Takeshi Inoue & Shigeyuki Hamori (ed.), 2016. "Financial Linkages, Remittances, and Resource Dependence in East Asia," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9737, December.

    Cited by:

    1. Inoue, Takeshi, 2018. "Financial development, remittances, and poverty reduction: Empirical evidence from a macroeconomic viewpoint," Journal of Economics and Business, Elsevier, vol. 96(C), pages 59-68.
    2. Aydanur GACENER-ATIŞ & Deniz ERER, 2019. "Effects of Capital Flows on Carry Trade Activities: The Case of TurkeyAbstract: Carry trade is described as the capital flow coming into a country based on interest rate differential. A negative chang," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(42).
    3. Peter Nderitu GITHAIGA, 2019. "Foreign Remittances, Private Sector Investment and Banking Sector Development," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 3(2), pages 85-112.

  3. Guifu Chen & Shigeyuki Hamori, 2014. "Rural Labor Migration, Discrimination, and the New Dual Labor Market in China," SpringerBriefs in Economics, Springer, edition 127, number 978-3-642-41109-0, June.

    Cited by:

    1. GAO Tianming & Anna Ivolga & Vasilii Erokhin, 2018. "Sustainable Rural Development in Northern China: Caught in a Vice between Poverty, Urban Attractions, and Migration," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    2. Ruoran Zhu & Guifu Chen, 2022. "An empirical study on underemployment in China: Determinants and effects on wages," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(6), pages 1110-1129, August.
    3. Xiaojian Li & Xinyue Ye & Xiongfei Zhou & Chunhui Zheng & Mark Leipnik & Fan Lou, 2018. "Specialized Villages in Inland China: Spatial and Developmental Issues," Sustainability, MDPI, vol. 10(9), pages 1-15, August.
    4. Mohamed Amara, 2016. "The linkages between formal and informal employment growth in Tunisia: a spatial simultaneous equations approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 203-227, January.
    5. Christoph Scherrer, 2018. "Labour surplus is here to stay: why ‘decent work for all’ will remain elusive," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(2), pages 293-307, October.
    6. Christoph Scherrer, 2018. "The Disrupted Passage from an Agrarian Rural to an Industrial Urban Workforce in Most Countries in the Global South," Agrarian South: Journal of Political Economy, Centre for Agrarian Research and Education for South, vol. 7(3), pages 301-319, December.

  4. Shigeyuki Hamori & Naoko Hamori, 2009. "Introduction of the Euro and the Monetary Policy of the European Central Bank," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7169, December.

    Cited by:

    1. Anton, Roman, 2015. "Monetary Development and Transmission in the Eurosystem," MPRA Paper 67323, University Library of Munich, Germany, revised 08 Oct 2015.
    2. Kiss, Gábor Dávid & Kovács, György & Varga, János Zoltán, 2016. "Várakozások és a monetáris politika - különös tekintettel a magyarországi gyakorlatra [Expectations and monetary policy, with special attention to practice in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1192-1216.

  5. Ivohasina Fizara Razafimahefa & Shigeyuki Hamori, 2007. "International Competitiveness in Africa," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-68921-8.

    Cited by:

    1. Yoichi Matsubayashi & Shigeyuki Hamori, 2009. "Empirical analysis of import demand behavior of least developed countries," Economics Bulletin, AccessEcon, vol. 29(2), pages 1443-1458.

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