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Leon Li

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. Leon Li, 2017. "Is there a Trade-Off between Accrual-Based and Real Earnings Management? Evidence from Equity Compensation and Market Pricing," Working Papers in Economics 17/24, University of Waikato.

    Cited by:

    1. Belal Ali Abdulraheem Ghaleb & Shaker Dahan Al-Duais & Abdulwahid Ahmed Hashed, 2021. "Audit Committee Chair s Legal Expertise and Real Activities Manipulation: Empirical Evidence from Malaysian Energy and Utilities Sectors," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 65-73.
    2. Tobar Arias, José E. & Mora Valencia, Andrés & Benavides Franco, Julián, 2023. "Earnings management to avoid losses: Evidence in non-listed Colombian companies," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 53(C).
    3. Mengyun Wu & Martha Coleman & Jonas Bawuah, 2020. "The Predictive Power of K-Nearest Neighbor (KNN): The Effect of Corporate Governance Mechanisms on Earnings Management," SAGE Open, , vol. 10(3), pages 21582440209, August.
    4. Kałdoński, Michał & Jewartowski, Tomasz, 2020. "Do firms using real earnings management care about taxes? Evidence from a high book-tax conformity country," Finance Research Letters, Elsevier, vol. 35(C).
    5. Popli, Manish & Raithatha, Mehul & Goyal, Lakshmi, 2022. "Avoiding the risk of de-legitimation: Impact of internationalization on earnings management of emerging market firms," Finance Research Letters, Elsevier, vol. 48(C).
    6. Bilal Kimouche, 2022. "Accrual-based and cash-based earnings management in Algeria: substitution or complementary," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 8(1), pages 1-17, June.
    7. Martha Coleman & Mengyun Wu, 2020. "Combination of Ant Colony Optimization and K-nearest Neighbours: The Influence of Working Capital Management on Corporate Performance," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(4), pages 395-415, November.
    8. Xin Yao Li & Pei-Wen Chen, 2020. "Meeting Dividend Thresholds Through Earnings Management of Listed Companies in South Africa," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(6), pages 1-5.
    9. Saeed Rabea Baatwah & Ehsan Saleh Almoataz & Khaled Salmen Aljaaidi, 2022. "Tightened it and ruined it: Earnings management trade-off as a consequence of key audit matters disclosure," Economics Bulletin, AccessEcon, vol. 42(2), pages 678-693.
    10. Chardonnens, Patrick & Fiechter, Peter & Wallmeier, Martin, 2022. "The disappearance of the zero-earnings discontinuity: SOX, dotcom boom or gradual decline?," Finance Research Letters, Elsevier, vol. 49(C).
    11. Xin Cui & Shouyu Yao & Zhenming Fang & Hua Wang, 2021. "Economic policy uncertainty exposure and earnings management: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 3937-3976, September.

Articles

  1. Li, Leon & Miu, Peter, 2023. "Are cryptocurrencies a safe haven for stock investors? A regime-switching approach," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 367-385.

    Cited by:

    1. Susovon Jana & Tarak N. Sahu, 2023. "Is the cryptocurrency market a hedge against stock market risk? A Wavelet and GARCH approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 52(3), November.
    2. Zhou, Fan, 2024. "Cryptocurrency: A new player or a new crisis in financial markets? —— Evolutionary analysis of association and risk spillover based on network science," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
    3. Patel, Ritesh & Gubareva, Mariya & Chishti, Muhammad Zubair & Teplova, Tamara, 2024. "Connectedness between healthcare cryptocurrencies and major asset classes: Implications for hedging and investments strategies," International Review of Financial Analysis, Elsevier, vol. 93(C).
    4. Mei-jun, Ling & Guang-xi, Cao, 2024. "Dynamics of asymmetric multifractal cross-correlations between cryptocurrencies and global stock markets: Role of gold and portfolio implications," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    5. Aslanidis, Nektarios & Bariviera, Aurelio F. & Savva, Christos S., 2024. "Do online attention and sentiment affect cryptocurrencies’ correlations?," Research in International Business and Finance, Elsevier, vol. 71(C).
    6. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg), 2024. "Contagion effects of permissionless, worthless cryptocurrency tokens: Evidence from the collapse of FTX," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).

  2. Li, Leon, 2022. "The dynamic interrelations of oil-equity implied volatility indexes under low and high volatility-of-volatility risk," Energy Economics, Elsevier, vol. 105(C).

    Cited by:

    1. Pérez, Rafaela & Ruiz, Jesús, 2023. "Asymmetric effects of financial volatility and volatility-of-volatility shocks on the energy mix," UC3M Working papers. Economics 36916, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Kayani, Umar Nawaz & Hassan, M. Kabir & Moussa, Faten & Hossain, Gazi Farid, 2023. "Oil in crisis: What can we learn," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    3. Thobekile Qabhobho & Emmanuel Asafo-Adjei & Peterson Owusu Junior & Anokye M. Adam, 2022. "Quantifying information transfer between Commodities and Implied Volatilities in the Energy Markets: A Multi-frequency Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 472-481, September.
    4. Alessio Brini & Giacomo Toscano, 2024. "SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks," Papers 2401.06249, arXiv.org, revised Jan 2025.
    5. Chen, Yan & Qiao, Gaoxiu & Zhang, Feipeng, 2022. "Oil price volatility forecasting: Threshold effect from stock market volatility," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Qiao, Gaoxiu & Ma, Xuekun & Jiang, Gongyue & Wang, Lu, 2024. "Crude oil volatility index forecasting: New evidence based on positive and negative jumps from Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 415-437.
    7. Christina Anderl & Guglielmo Maria Caporale, 2023. "Shipping Cost Uncertainty, Endogenous Regime Switching and the Global Drivers of Inflation," CESifo Working Paper Series 10798, CESifo.
    8. Wang, Xiong & Li, Jingyao & Ren, Xiaohang, 2022. "Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond," International Review of Financial Analysis, Elsevier, vol. 83(C).
    9. Wang, Zhenkun & Bouri, Elie & Ferreira, Paulo & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2022. "A grey-based correlation with multi-scale analysis: S&P 500 VIX and individual VIXs of large US company stocks," Finance Research Letters, Elsevier, vol. 48(C).
    10. Yang, Lu, 2023. "Oil price bubbles: The role of network centrality on idiosyncratic sovereign risk," Resources Policy, Elsevier, vol. 82(C).
    11. Kocaarslan, Baris, 2024. "US dollar and oil market uncertainty: New evidence from explainable machine learning," Finance Research Letters, Elsevier, vol. 64(C).
    12. Chen, Baifan & Huang, Jionghao & Liu, Danhe & Xia, Xiaohua, 2024. "Time-frequency return connectedness between Chinese coal futures and international stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 316-333.
    13. Xiao, Jihong & Liu, Hong, 2023. "The time-varying impact of uncertainty on oil market fear: Does climate policy uncertainty matter?," Resources Policy, Elsevier, vol. 82(C).
    14. An, Sufang & An, Feng & Gao, Xiangyun & Wang, Anjian, 2023. "Early warning of critical transitions in crude oil price," Energy, Elsevier, vol. 280(C).
    15. Tiwari, Aviral Kumar & Sharma, Gagan Deep & Rao, Amar & Hossain, Mohammad Razib & Dev, Dhairya, 2024. "Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting," Energy Economics, Elsevier, vol. 134(C).

  3. Leon Li & Peter Miu, 2022. "Behavioral Heterogeneity in the Stock Market Revisited: What Factors Drive Investors as Fundamentalists or Chartists?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(1), pages 73-91, January.

    Cited by:

    1. Day, Min-Yuh & Ni, Yensen, 2023. "Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Dammak, Wael & Boutouria, Nahla & Ben Hamad, Salah & de Peretti, Christian, 2023. "Investor behavior in the currency option market during the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).

  4. Abidin Alhassan & Leon Li & Krishna Reddy & Geeta Duppati, 2021. "The relationship between political instability and financial inclusion: Evidence from Middle East and North Africa," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 353-374, January.

    Cited by:

    1. Ferreira, João J. & Gomes, Sofia & Lopes, João M. & Zhang, Justin Z., 2023. "Ticking time bombs: The MENA and SSA regions' geopolitical risks," Resources Policy, Elsevier, vol. 85(PA).
    2. Murshed, Muntasir & Ahmed, Rizwan & Al-Tal, Raad Mahmoud & Kumpamool, Chamaiporn & Vetchagool, Witchulada & Avarado, Rafael, 2023. "Determinants of financial inclusion in South Asia: The moderating and mediating roles of internal conflict settlement," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Rexford Abaidoo & Elvis Kwame Agyapong, 2025. "Macroeconomic shocks, regulatory uncertainty, and the drive towards financial inclusiveness in emerging economies," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.
    4. Chandan Kumar Jha & Fatih Kırşanlı, 2024. "Arab Spring, democratization of corruption, and income inequality," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3678-3691, July.
    5. Akbar, Syed Waqar & Rehman, Ajid Ur & Bouri, Elie & Ijaz, Muhammad Shahzad & Arshad, Imran, 2024. "Socio-economic issues and bank stability: The moderating role of competition," Research in International Business and Finance, Elsevier, vol. 71(C).

  5. Ruwani Fernando, Jayasuriya Mahapatabendige & Li, Leon & Hou, Greg, 2021. "Heterogeneity in capital structure adjustment revisited: Default versus non-default firms and short versus long time horizon," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 185-204.

    Cited by:

    1. Bai, Min & Ho, Ly & Lu, Yue & Qin, Yafeng, 2023. "Labor protection and dynamic leverage adjustments in the OECD countries," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 502-527.
    2. Kim, Tae-Nyun & Xie, Yutong, 2023. "Off-balance sheet disclosure and leverage adjustment speed," Finance Research Letters, Elsevier, vol. 51(C).

  6. Jayasuriya Mahapatabendige Ruwani Fernando & Leon Li & Greg Hou, 2020. "Financial versus Non-Financial Information for Default Prediction: Evidence from Sri Lanka and the USA," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(3), pages 673-692, February.

    Cited by:

    1. Egor O. Bukharin & Sofia I. Mangileva & Vladislav V. Afanasev, 2024. "Default Prediction for Russian Food Service Firms: Contribution of Non-Financial Factors and Machine Learning," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(1), pages 206-226.

  7. Li, Leon, 2019. "Is there a trade-off between accrual-based and real earnings management? Evidence from equity compensation and market pricing," Finance Research Letters, Elsevier, vol. 28(C), pages 191-197.
    See citations under working paper version above.
  8. Li, Leon & Faff, Robert, 2019. "Predicting corporate bankruptcy: What matters?," International Review of Economics & Finance, Elsevier, vol. 62(C), pages 1-19.

    Cited by:

    1. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    2. Dariusz Sala & Kostiantyn Pavlov & Olena Pavlova & Anton Demchuk & Liubomur Matiichuk & Dariusz Cichoń, 2023. "Determining of the Bankrupt Contingency as the Level Estimation Method of Western Ukraine Gas Distribution Enterprises’ Competence Capacity," Energies, MDPI, vol. 16(4), pages 1-13, February.
    3. Abinzano, Isabel & Gonzalez-Urteaga, Ana & Muga, Luis & Sanchez, Santiago, 2020. "Performance of default-risk measures: the sample matters," Journal of Banking & Finance, Elsevier, vol. 120(C).
    4. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
    5. Katarina Valaskova & Pavol Durana & Peter Adamko & Jaroslav Jaros, 2020. "Financial Compass for Slovak Enterprises: Modeling Economic Stability of Agricultural Entities," JRFM, MDPI, vol. 13(5), pages 1-16, May.
    6. Kabir, Md Nurul & Rahman, Sohanur & Rahman, Md Arifur & Anwar, Mumtaheena, 2021. "Carbon emissions and default risk: International evidence from firm-level data," Economic Modelling, Elsevier, vol. 103(C).
    7. Serhiy Zabolotnyy & Mirosław Wasilewski, 2019. "The Concept of Financial Sustainability Measurement: A Case of Food Companies from Northern Europe," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    8. Carlos Pérez Montes & Alejandro Ferrer & Gabriel Jiménez & Laura Álvarez Román & Henrique Basso & Beatriz González López & Sergio Mayordomo & Álvaro Menéndez Pujadas & Myroslav Pidkuyko & Lola Morales, 2023. "Individual and sectoral analysis framework for the impact of economic and financial risks," Occasional Papers 2313, Banco de España.
    9. Ning Wu & Jingyi Zhao & Mohammed Musah & Zhiqiang Ma & Lijuan Zhang & Yutong Zhou & Yongzheng Su & Joseph Kwasi Agyemang & Juliana Anyei Asiamah & Siqi Cao & Linnan Yao & Kaodui Li, 2023. "Do Liquidity and Capital Structure Predict Firms’ Financial Sustainability? A Panel Data Analysis on Quoted Non-Financial Establishments in Ghana," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    10. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," JRFM, MDPI, vol. 12(4), pages 1-15, December.
    11. Lidiya Guryanova & Olena Bolotova & Vitalii Gvozdytskyi & Sergienko Olena, 2020. "Long-term financial sustainability: An evaluation methodology with threats considerations," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(1), pages 47-69.
    12. Liu, Bai & Ju, Tao & Bai, Min & Yu, Chia-Feng (Jeffrey), 2021. "Imitative innovation and financial distress risk: The moderating role of executive foreign experience," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 526-548.
    13. Yinghua Song & Minzhe Jiang & Shixuan Li & Shengzhe Zhao, 2024. "Class‐imbalanced financial distress prediction with machine learning: Incorporating financial, management, textual, and social responsibility features into index system," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 593-614, April.
    14. Ruwani Fernando, Jayasuriya Mahapatabendige & Li, Leon & Hou, Greg, 2021. "Heterogeneity in capital structure adjustment revisited: Default versus non-default firms and short versus long time horizon," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 185-204.
    15. Dagmar Camska & Jiri Klecka, 2020. "Comparison of Prediction Models Applied in Economic Recession and Expansion," JRFM, MDPI, vol. 13(3), pages 1-16, March.

  9. Jayasuriya Mahapatabendige Ruwani Fernando & Leon Li & Yang (Greg) Hou, 2019. "Corporate governance and default prediction: a reality test," Applied Economics, Taylor & Francis Journals, vol. 51(24), pages 2669-2686, May.

    Cited by:

    1. Peixin Li & Rongxi Zhou & Yahui Xiong, 2020. "Can ESG Performance Affect Bond Default Rate? Evidence from China," Sustainability, MDPI, vol. 12(7), pages 1-12, April.
    2. Emmanuel Anyigbah & Yusheng Kong & Bless Kofi Edziah & Ahotovi Thomas Ahoto & Wilhelmina Seyome Ahiaku, 2023. "Board Characteristics and Corporate Sustainability Reporting: Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    3. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    4. Thong, Lik Hong, 2019. "A discussion on performance risk of Dunkin's Brand," MPRA Paper 97266, University Library of Munich, Germany, revised 30 Nov 2019.
    5. María Escribano-Navas & German Gemar, 2021. "Gender and Bankruptcy: A Hotel Survival Econometric Analysis," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
    6. John E.H.J. FoEh & Diah Ayu Permatasari & Jhonni Sinaga, 2022. "Corporate Governance in Need of Reforms: What Areas of the System Should Be Reformed First and How?," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 73-81.
    7. Li Mingqian, 2024. "Why Transaction Cost Economics Failed and How to Fix It," Papers 2405.09087, arXiv.org, revised Jan 2025.
    8. A. I. Rybalka, 2020. "Relationship of Property Structure and Performance of High-Tech Technology Companies," Studies on Russian Economic Development, Springer, vol. 31(3), pages 264-270, May.
    9. Fahad Asghar & Palwasha Farooq & Muhammad Nadim & Zain ul Abidin & Fazli Wadood, 2023. "Global Financial Crisis: A critical study on Role of Auditor’s and Stakeholder," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 452-458.
    10. Angelo de Sousa Santarlacci & Humberto Angelo & Álvaro Nogueira de Souza & Maria de Fátima de Brito Lima & Maísa Santos Joaquim & Eder Pereira Miguel & Júlia de Oliveira Carneiro, 2024. "Benefit Sharing Governance Framework: Pathways for Financial Benefit Sharing in Traditional Communities," Sustainability, MDPI, vol. 16(7), pages 1-24, March.
    11. Muhammad Kaleem Khan & Chunhui Huo & R. M. Ammar Zahid & Umer Sahil Maqsood, 2024. "The automated sustainability auditor: Does artificial intelligence curtail greenwashing behavior in Chinese firms?," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 9015-9039, December.
    12. Archana Saxena & Rajesh Singh & Anita Gehlot & Shaik Vaseem Akram & Bhekisipho Twala & Aman Singh & Elisabeth Caro Montero & Neeraj Priyadarshi, 2022. "Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    13. Olfa Ben Salah, 2024. "Analyzing the Causal Relationship Between Tax Avoidance and Earnings Management: Evidence from The STOXX Europe 600 Index," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 23(1), pages 29-49, January.
    14. Richard Arhinful & Leviticus Mensah & Jerry Seth Owusu-Sarfo, 2024. "The impact of corporate governance on debt service obligations: evidence from automobile companies listed on the Tokyo stock exchange," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(4), pages 501-519, December.
    15. Yuanyuan Wang & Jijie Ma & Kun Zhang, 2024. "Can digital transformation reduce corporate illegality?," Economics and Politics, Wiley Blackwell, vol. 36(2), pages 1090-1109, July.
    16. Sonia Yasin & Muhammad Irfan & Muhammad Shaukat Malik & Fasiha Nargis, 2022. "The Relationship between Executive Remuneration and Organizations Efficiency," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 59-70, December.
    17. Chunsheng Wang & Jiatong Weng & Jingshi He & Xiaopin Wang & Hong Ding & Quanxin Zhu, 2024. "Stability Analysis of the Credit Market in Supply Chain Finance Based on Stochastic Evolutionary Game Theory," Mathematics, MDPI, vol. 12(11), pages 1-16, June.
    18. Dongshu Jiang & ZhiXing Ni & Yuxiu Chen & Xue Chen & Chaohong Na, 2022. "Influence of Financial Shared Services on the Corporate Debt Cost under Digitalization," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    19. Quang Linh Huynh & Mohammad Enamul Hoque & Perengki Susanto & Waqas Ahmad Watto & Maryam Ashraf, 2022. "Does Financial Leverage Mediates Corporate Governance and Firm Performance?," Sustainability, MDPI, vol. 14(20), pages 1-20, October.

  10. Leon Li & Carl Chen, 2018. "The domino effect of credit defaults: test of asymmetric default correlations using realised default data," Applied Economics, Taylor & Francis Journals, vol. 50(44), pages 4803-4813, September.

    Cited by:

    1. Ruwani Fernando, Jayasuriya Mahapatabendige & Li, Leon & Hou, Greg, 2021. "Heterogeneity in capital structure adjustment revisited: Default versus non-default firms and short versus long time horizon," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 185-204.

  11. Li, Leon & Kuo, Chii-Shyan, 2017. "CEO equity compensation and earnings management: The role of growth opportunities," Finance Research Letters, Elsevier, vol. 20(C), pages 289-295.

    Cited by:

    1. Wil Martens & Prem W. S. Yapa & Maryam Safari, 2020. "The Impact of Financial Statement Comparability on Earnings Management: Evidence from Frontier Markets," IJFS, MDPI, vol. 8(4), pages 1-25, November.
    2. Li, Xia & Gupta, Jairaj & Bu, Ziwen & Kannothra, Chacko George, 2023. "Effect of cash flow risk on corporate failures, and the moderating role of earnings management and abnormal compensation," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Song, Bomi & Chung, Heesun & Kim, Bum-Joon & Sonu, Catherine Heyjung, 2023. "Do business trainings for audit committees matter in organizations? Focusing on earnings management," Finance Research Letters, Elsevier, vol. 51(C).
    4. Ma, Guangyuan & Wang, Yihong & Xu, Yekun & Zhang, Limin, 2023. "The breadth of ownership and corporate earnings management," Finance Research Letters, Elsevier, vol. 52(C).
    5. Tunyi, Abongeh A. & Agyei-Boapeah, Henry & Areneke, Geofry & Agyemang, Jacob, 2019. "Internal capabilities, national governance and performance in African firms," Research in International Business and Finance, Elsevier, vol. 50(C), pages 18-37.
    6. Pierre Chaigneau, 2012. "The Optimal Timing of CEO Compensation," Cahiers de recherche 1207, CIRPEE.
    7. Khenissi, Mohamed & Jahmane, Abderrahman & Hofaidhllaoui, Mahrane, 2022. "Does the introduction of CSR criteria into CEO incentive pay reduce their earnings management? The case of companies listed in the SBF 120," Finance Research Letters, Elsevier, vol. 48(C).
    8. Chen, Clara Chia Sheng & Chou, Yan-Yu & Wei, Peihwang, 2020. "Country factors in earnings management of ADR firms," Finance Research Letters, Elsevier, vol. 32(C).
    9. Emmanuel Mensah & Peter Ackah & Mamdouh Abdulaziz Saleh Al-Faryan, 2024. "Firms growth opportunities and accruals earnings management nexus: does corporate and national governance systems play a role?," SN Business & Economics, Springer, vol. 4(10), pages 1-41, October.
    10. Chen, Xiaoqi & Torsin, Wouter & Zhang, Dayong, 2022. "The Anglo-Saxon premium in foreign CEO compensation," Finance Research Letters, Elsevier, vol. 47(PA).

  12. Li, Leon, 2017. "Dynamic correlations and domestic-global diversification," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 280-290.

    Cited by:

    1. Bebbington, Jan & Schneider, Thomas & Stevenson, Lorna & Fox, Alison, 2020. "Fossil fuel reserves and resources reporting and unburnable carbon: Investigating conflicting accounts," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 66(C).

  13. Leon Li & Mark J. Holmes & Bong Soo Lee, 2016. "The asymmetric relationship between executive earnings management and compensation: a panel threshold regression approach," Applied Economics, Taylor & Francis Journals, vol. 48(57), pages 5525-5545, December.

    Cited by:

    1. Lin, Fengyi & Lin, Li-Jung & Yeh, Chin-Chen & Wang, Teng-Shih, 2018. "Does the board of directors as Fat Cats exert more earnings management? Evidence from Benford’s law," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 158-170.
    2. Luis Porcuna Enguix, 2021. "The New EU Remuneration Policy as Good but Not Desired Corporate Governance Mechanism and the Role of CSR Disclosing," Sustainability, MDPI, vol. 13(10), pages 1-35, May.

  14. Li, Leon & Chen, Carl R., 2016. "Analysts' forecast dispersion and stock returns: a panel threshold regression analysis based on conditional limited market participation hypothesis," Finance Research Letters, Elsevier, vol. 18(C), pages 100-107.

    Cited by:

    1. Zhifan Chen & Wencai Geng & Xingyuan Jiang & Xinling Ruan & Di Wu & Yipeng Li, 2022. "A New Sight of Influencing Effects of Major Factors on Cd Transfer from Soil to Wheat ( Triticum aestivum L.): Based on Threshold Regression Model," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    2. Xidonas, Panos & Doukas, Haris & Hassapis, Christis, 2021. "Grouped data, investment committees & multicriteria portfolio selection," Journal of Business Research, Elsevier, vol. 129(C), pages 205-222.
    3. Choi, Hae Mi, 2018. "Short selling and the rounding of analysts’ forecasts," Finance Research Letters, Elsevier, vol. 25(C), pages 47-54.
    4. Liu, Qiming & Liu, Zhenya & Moussa, Faten & Mu, Yuhao, 2024. "International capital flow in a period of high inflation: The case of China," Research in International Business and Finance, Elsevier, vol. 67(PB).

  15. Bong-Soo Lee & Leon Li, 2016. "The Idiosyncratic Risk-Return Relation: A Quantile Regression Approach Based on the Prospect Theory," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 17(2), pages 124-143, April.

    Cited by:

    1. Guidolin, Massimo & Ricci, Andrea, 2020. "Arbitrage risk and a sentiment as causes of persistent mispricing: The European evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 1-11.

  16. Ming-Yuan (Leon) Li & Jyong-Sian Wu, 2014. "Analysts’ Forecast Dispersion and Stock Returns: A Quantile Regression Approach," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 15(3), pages 175-183, July.

    Cited by:

    1. Sousa, João & Sousa, Ricardo M., 2017. "Predicting risk premium under changes in the conditional distribution of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 204-218.
    2. Naeem, Muhammad Abubakr & Mbarki, Imen & Shahzad, Syed Jawad Hussain, 2021. "Predictive role of online investor sentiment for cryptocurrency market: Evidence from happiness and fears," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 496-514.
    3. Sousa, Ricardo M. & Vivian, Andrew & Wohar, Mark E., 2016. "Predicting asset returns in the BRICS: The role of macroeconomic and fundamental predictors," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 122-143.
    4. Jasman Tuyon & Zamri Ahmad, 2021. "Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5793-5814, October.
    5. Ordu, Beyza Mina & Oran, Adil & Soytas, Ugur, 2018. "Is food financialized? Yes, but only when liquidity is abundant," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 82-96.
    6. Cevheroğlu-Açar, Merve G. & Karahan, Cenk C. & Yılmaz, Neslihan, 2022. "Is there an analyst (un)coverage premium?," Research in International Business and Finance, Elsevier, vol. 61(C).
    7. Sobolev, Daphne, 2017. "The effect of price volatility on judgmental forecasts: The correlated response model," International Journal of Forecasting, Elsevier, vol. 33(3), pages 605-617.
    8. Fatemi, Ali & Glaum, Martin & Kaiser, Stefanie, 2018. "ESG performance and firm value: The moderating role of disclosure," Global Finance Journal, Elsevier, vol. 38(C), pages 45-64.
    9. Muhammad Arif & Christopher Gan & Hussein Ahmed Bataineh, 2024. "Global evidence on the association between environmental, social, and governance disclosures and future earnings risk," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2497-2517, March.

  17. Ming‐Yuan Leon Li & Nen‐Chen Richard Hwang, 2011. "Effects of Firm Size, Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach," Abacus, Accounting Foundation, University of Sydney, vol. 47(2), pages 182-204, June.

    Cited by:

    1. Westerberg, Hans Seerar, 2014. "The Return to R&D and Seller-buyer Interactions: A Quantile Regression Approach," Ratio Working Papers 231, The Ratio Institute.
    2. İbrahim Ethem Güney & Abdullah Kazdal & Doruk Küçüksaraç & Muhammed Hasan Yılmaz, 2021. "Exchange Rate Sensitivity of Firm Value: Evidence from Nonfinancial Firms Listed on Borsa Istanbul," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 141-165, Springer.
    3. Teirlinck, Peter, 2017. "Configurations of strategic R&D decisions and financial performance in small-sized and medium-sized firms," Journal of Business Research, Elsevier, vol. 74(C), pages 55-65.
    4. Khalifa, Maha & Othman, Hakim Ben & Hussainey, Khaled, 2018. "The effect of ex ante and ex post conservatism on the cost of equity capital: A quantile regression approach for MENA countries," Research in International Business and Finance, Elsevier, vol. 44(C), pages 239-255.
    5. Sakchai Naknok, 2022. "Firm Performance Indicators as a Fundamental Analysis of Stocks and a Determinant of a Firm’s Operation," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 190-213.
    6. Minjung Kang & Sangil Kim & Moon-Kyung Cho, 2019. "The Effect of R&D and the Control–Ownership Wedge on Firm Value: Evidence from Korean Chaebol Firms," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    7. Luiz Claudio Louzada & Márcio Augusto Gonçalves, 2018. "The Moderating Effect of the Sector’s Level of Concentration on the Relationship Between Balance Sheet Composition and the Firm’s Competitive Advantage," Brazilian Business Review, Fucape Business School, vol. 15(6), pages 512-532, November.
    8. Mohamed S. Ahmed & John A. Doukas, 2021. "Revisiting disposition effect and momentum: a quantile regression perspective," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 1087-1128, April.

  18. Ming-Yuan Leon Li & Shang-En Shine Yu, 2011. "Do large firms overly use stock-based incentive compensation?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1591-1606, July.

    Cited by:

    1. Denise Rousseau & Byeong Jo Kim & Ryan Splenda & Sarah Young & Jangbum Lee & Donna Beck, 2023. "Does chief executive compensation predict financial performance or inaccurate financial reporting in listed companies: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(4), December.

  19. Alan Tse-Shih Wang & Ming-Yuan Leon Li & Ti-Chen Chen, 2010. "Price transmission, foreign exchange rate risks and global diversification of ADRs," Applied Economics, Taylor & Francis Journals, vol. 42(14), pages 1811-1823.

    Cited by:

    1. Grossmann, Axel & Ngo, Thanh & Simpson, Marc W., 2017. "The asymmetric impact of currency purchasing power imparities on ADR mispricing," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 74-94.
    2. Ana Carolina Costa Correa & Tabajara Pimenta Júnior & Luiz Eduardo Gaio, 2018. "Interdependence and asymmetries: Latin American ADRs and developed markets," Brazilian Business Review, Fucape Business School, vol. 15(4), pages 391-409, July.

  20. Ming-Yuan Leon Li, 2010. "Dynamic hedge ratio for stock index futures: application of threshold VECM," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1403-1417.

    Cited by:

    1. Nick, Sebastian, 2013. "Price Formation and Intertemporal Arbitrage within a Low-Liquidity Framework: Empirical Evidence from European Natural Gas Markets," EWI Working Papers 2013-14, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Ming-Yuan Leon Li & Chun-Nan Chen, 2010. "Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(7), pages 1173-1191.
    3. Sebastian Nick, 2016. "The Informational Efficiency of European Natural Gas Hubs: Price Formation and Intertemporal Arbitrage," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    4. Ming-Yuan Leon Li & Shang-En Shine Yu, 2011. "Do large firms overly use stock-based incentive compensation?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1591-1606, July.

  21. Jeng-Ren Chiou & Ming-Yuan Leon Li & Li Cheng & Shih-Yuan Chang, 2010. "Pricing and Allocation Mechanisms in Underpricing of Chinese IPOs," Chinese Economy, Taylor & Francis Journals, vol. 43(1), pages 93-108, January.

    Cited by:

    1. Azevedo, Alcino & Guney, Yilmaz & Leng, Jingsi, 2018. "Initial public offerings in China: Underpricing, statistics and developing literature," Research in International Business and Finance, Elsevier, vol. 46(C), pages 387-398.
    2. Congsheng Wu, 2014. "Underpricing of homecoming A-share IPOs by Chinese firms already listed abroad," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 627-649, October.
    3. Liu, Jianlei & Uchida, Konari & Li, Yuan, 2020. "Provincial economic performance and underpricing of IPOs: Evidence from political interventions in China," Economic Modelling, Elsevier, vol. 86(C), pages 274-285.
    4. Monica Hussein & Zhong-guo Zhou & Qi Deng, 2020. "Does risk disclosure in prospectus matter in ChiNext IPOs’ initial underpricing?," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 957-979, April.

  22. Ming-Yuan Leon Li & Chun-Nan Chen, 2010. "Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(7), pages 1173-1191.

    Cited by:

    1. Luca De Angelis & Leonard J. Paas, 2013. "A dynamic analysis of stock markets using a hidden Markov model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1682-1700, August.

  23. Ming‐yuan leon Li, 2009. "Change In Volatility Regimes And Diversification In Emerging Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 59-80, March.

    Cited by:

    1. M. MALLIKARJUNA & R. Prabhakara RAO, 2019. "Volatility experience of major world stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 35-52, Winter.
    2. Daniel King & Ferdi Botha, 2014. "Modelling Stock Return Volatility Dynamics in Selected African Markets," Working Papers 410, Economic Research Southern Africa.
    3. Rajibur Reza & Gurudeo Anand Tularam & Xiyang Li & Bin Li, 2022. "Investments in the Asian water sector: an analysis based on the DCC-GARCH model," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.

  24. Ming‐Yuan Leon Li, 2009. "The dynamics of the relationship between spot and futures markets under high and low variance regimes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 696-718, November.

    Cited by:

    1. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "Lead-lag relationship between spot and futures stock indexes: Intraday data and regime-switching models," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 269-280.
    2. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Optimal quantile hedging under Markov regime switching," Empirical Economics, Springer, vol. 60(5), pages 2177-2201, May.
    3. Chen, Haojun & Maher, Daniela, 2013. "On the predictive role of large futures trades for S&P500 index returns: An analysis of COT data as an informative trading signal," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 177-201.
    4. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Quantile information share under Markov regime‐switching," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 493-513, April.
    5. Chang, Kuang-Liang, 2011. "The nonlinear effects of expected and unexpected components of monetary policy on the dynamics of REIT returns," Economic Modelling, Elsevier, vol. 28(3), pages 911-920, May.
    6. Ren, Fei & Ji, Shen-Dan & Cai, Mei-Ling & Li, Sai-Ping & Jiang, Xiong-Fei, 2019. "Dynamic lead–lag relationship between stock indices and their derivatives: A comparative study between Chinese mainland, Hong Kong and US stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 709-723.
    7. Kuck, Konstantin & Schweikert, Karsten, 2023. "Price discovery in equity markets: A state-dependent analysis of spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 149(C).
    8. Gong, Chen-Chen & Ji, Shen-Dan & Su, Li-Ling & Li, Sai-Ping & Ren, Fei, 2016. "The lead–lag relationship between stock index and stock index futures: A thermal optimal path method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 63-72.

  25. Li, Ming-Yuan Leon, 2009. "Value or volume strategy?," Finance Research Letters, Elsevier, vol. 6(4), pages 210-218, December.

    Cited by:

    1. Ming-Yuan Leon Li & Shang-En Shine Yu, 2011. "Do large firms overly use stock-based incentive compensation?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1591-1606, July.
    2. Dominique Guegan & Chafic Merhy, 2010. "A Note on fair Value and Illiquid Markets," Post-Print halshs-00460856, HAL.
    3. Chen, Mei-Ping & Lee, Chien-Chiang & Hsu, Yi-Chung, 2017. "Investor sentiment and country exchange traded funds: Does economic freedom matter?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 285-299.
    4. Yu-Yen Ku & Tze-Yu Yen, 2016. "Heterogeneous Effect of Financial Leverage on Corporate Performance: A Quantile Regression Analysis of Taiwanese Companies," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-33, September.

  26. Ming-Yuan Leon Li, 2009. "Multiple asymmetries in index stock returns from boom/bust and stable/volatile markets states- an empirical study of US and UK stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 16(2), pages 183-191.

    Cited by:

    1. Warren Dean & Robert Faff, 2011. "Feedback trading and the behavioural ICAPM: multivariate evidence across international equity and bond markets," Applied Financial Economics, Taylor & Francis Journals, vol. 21(22), pages 1665-1678.
    2. Li, Ming-Yuan Leon, 2009. "Value or volume strategy?," Finance Research Letters, Elsevier, vol. 6(4), pages 210-218, December.

  27. Ming-Yuan Leon Li, 2008. "Hybrid versus highbred: combined economic models with time-series analyses," Quantitative Finance, Taylor & Francis Journals, vol. 8(6), pages 637-647.

    Cited by:

    1. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    2. Li, Ming-Yuan Leon, 2009. "Value or volume strategy?," Finance Research Letters, Elsevier, vol. 6(4), pages 210-218, December.
    3. Li, Leon, 2022. "The dynamic interrelations of oil-equity implied volatility indexes under low and high volatility-of-volatility risk," Energy Economics, Elsevier, vol. 105(C).

  28. Ming-Yuan Leon Li, 2007. "Purchasing power parity under high and low volatility regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 581-589.

    Cited by:

    1. Chi-Wei Su & Tsangyao Chang & Yu-Shao Liu, 2012. "Revisiting purchasing power parity for African countries: with nonlinear panel unit-root tests," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3263-3273, September.
    2. Ming-Yuan Leon Li, 2009. "Nonlinear interrelations between ADRs and their underlying stocks revisited: application of threshold VECM," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1867-1873.
    3. Mohsen Bahmani‐Oskooee & Scott W. Hegerty, 2009. "Purchasing Power Parity In Less‐Developed And Transition Economies: A Review Paper," Journal of Economic Surveys, Wiley Blackwell, vol. 23(4), pages 617-658, September.
    4. Li, Ming-Yuan Leon, 2009. "Value or volume strategy?," Finance Research Letters, Elsevier, vol. 6(4), pages 210-218, December.
    5. Giannellis, Nikolaos & Koukouritakis, Minoas, 2013. "Exchange rate misalignment and inflation rate persistence: Evidence from Latin American countries," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 202-218.
    6. Ming-Yuan Leon Li, 2008. "Hybrid versus highbred: combined economic models with time-series analyses," Quantitative Finance, Taylor & Francis Journals, vol. 8(6), pages 637-647.

  29. Ming-Yuan Leon Li, 2007. "Volatility states and international diversification of international stock markets," Applied Economics, Taylor & Francis Journals, vol. 39(14), pages 1867-1876.

    Cited by:

    1. Ming‐Yuan Leon Li, 2009. "The dynamics of the relationship between spot and futures markets under high and low variance regimes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 696-718, November.
    2. Kim Hiang Liow & Qing Ye, 2018. "Regime dependent volatilities and correlation in international securitized real estate markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(3), pages 457-487, August.
    3. Ming-Yuan Leon Li, 2009. "Nonlinear interrelations between ADRs and their underlying stocks revisited: application of threshold VECM," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1867-1873.
    4. Earl D. Benson & Sophie X. Kong, 2015. "The Co-Movement of U.S. Equity Returns with the Developed and Emerging Markets of Australasia and Asia," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(1), pages 102-117, January.
    5. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    6. Emrah İ. Çevik & Turhan Korkmaz & Erdal Atukeren, 2012. "Business confidence and stock returns in the USA: a time-varying Markov regime-switching model," Applied Financial Economics, Taylor & Francis Journals, vol. 22(4), pages 299-312, February.
    7. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Optimal quantile hedging under Markov regime switching," Empirical Economics, Springer, vol. 60(5), pages 2177-2201, May.
    8. Abounoori, Esmaiel & Elmi, Zahra (Mila) & Nademi, Younes, 2016. "Forecasting Tehran stock exchange volatility; Markov switching GARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 264-282.
    9. Kim Hiang Liow & Qing Ye, 2014. "Switching volatility and cross-market linkages in public property markets," Journal of Property Research, Taylor & Francis Journals, vol. 31(4), pages 287-314, December.
    10. Emrah Çevik & Erdal Atukeren & Turhan Korkmaz, 2013. "Nonlinearity and nonstationarity in international art market prices: evidence from Markov-switching ADF unit root tests," Empirical Economics, Springer, vol. 45(2), pages 675-695, October.
    11. Korkmaz, Turhan & Cevik, Emrah Ismail & Birkan, Elif & Özataç, Nesrin, 2010. "Testing CAPM using Markov switching model: the case of coal firms," MPRA Paper 71479, University Library of Munich, Germany, revised 2010.
    12. Simmons-Süer, Banu, 2018. "“How relevant is capital structure for aggregate investment? a regime-switching approach”," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 109-117.
    13. Ming‐yuan leon Li, 2009. "Change In Volatility Regimes And Diversification In Emerging Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 59-80, March.
    14. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Quantile information share under Markov regime‐switching," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 493-513, April.
    15. Alex YiHou Huang, 2012. "Volatility forecasting by quantile regression," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 423-433, February.
    16. Juan Reboredo, 2010. "Nonlinear effects of oil shocks on stock returns: a Markov-switching approach," Applied Economics, Taylor & Francis Journals, vol. 42(29), pages 3735-3744.

  30. Ming-Yuan Leon Li & Hsiou-Wei William Lin & Rau Hsiu-hua, 2005. "The performance of the Markov-switching model on business cycle identification revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 12(8), pages 513-520.

    Cited by:

    1. Milan Christian Wet & Ilse Botha, 2022. "Constructing and Characterising the Aggregate South African Financial Cycle: A Markov Regime-Switching Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 37-67, March.
    2. Hsu, Pao-Peng, 2017. "Examination of Taiwan's travel and tourism market cycle through a two-period Markov regime-switching model," Tourism Management, Elsevier, vol. 63(C), pages 201-208.
    3. Martha Misas & Maria Teresa Ramirez, 2007. "Depressions in the Colombian economic growth during the twentieth century: a Markov switching regime model," Applied Economics Letters, Taylor & Francis Journals, vol. 14(11), pages 803-808.
    4. Erick Elder & Gary A. Wagner, 2007. "How well are the states of the Eighth Federal Reserve District prepared for the next recession?," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 75-87.
    5. Fomin, M., 2016. "Business cycles and acquisition policy: Analysis of M&A deals of metallurgical companies," Working Papers 6441, Graduate School of Management, St. Petersburg State University.

  31. Ming-Yuan Leon Li & Hsiou-wei William Lin, 2004. "Estimating value-at-risk via Markov switching ARCH models - an empirical study on stock index returns," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 679-691.

    Cited by:

    1. Eduardo Roca & Victor Wong, 2008. "An analysis of the sensitivity of Australian superannuation funds to market movements: a Markov regime switching approach," Applied Financial Economics, Taylor & Francis Journals, vol. 18(7), pages 583-597.
    2. Humberto Valencia-Herrera & Francisco López-Herrera, 2018. "Markov Switching International Capital Asset Pricing Model, an Emerging Market Case: Mexico," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1), pages 96-129, April.
    3. Laura Garcia‐Jorcano & Alfonso Novales, 2021. "Volatility specifications versus probability distributions in VaR forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 189-212, March.
    4. Nomikos, Nikos K. & Pouliasis, Panos K., 2011. "Forecasting petroleum futures markets volatility: The role of regimes and market conditions," Energy Economics, Elsevier, vol. 33(2), pages 321-337, March.
    5. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    6. Carlos Bautista, 2005. "How volatile are East Asian stocks during high volatility periods?," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 319-326.
    7. Emrah İ. Çevik & Turhan Korkmaz & Erdal Atukeren, 2012. "Business confidence and stock returns in the USA: a time-varying Markov regime-switching model," Applied Financial Economics, Taylor & Francis Journals, vol. 22(4), pages 299-312, February.
    8. Huang Dashan & Yu Baimin & Lu Zudi & Fabozzi Frank J. & Focardi Sergio & Fukushima Masao, 2010. "Index-Exciting CAViaR: A New Empirical Time-Varying Risk Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(2), pages 1-26, March.
    9. Ojea Ferreiro, Javier, 2020. "Disentangling the role of the exchange rate in oil-related scenarios for the European stock market," Energy Economics, Elsevier, vol. 89(C).
    10. Blazej Mazur & Mateusz Pipien, 2012. "On the empirical importance of periodicity in the volatility of financial time series," NBP Working Papers 124, Narodowy Bank Polski.
    11. Eduardo Roca & Victor Wong & Gurudeo Tularam, 2010. "The Market Sensitivity of Australian Superannuation Socially Responsible Investment Funds. Evidence from a Markov Regime Switching Approach," Discussion Papers in Finance finance:201012, Griffith University, Department of Accounting, Finance and Economics.
    12. Venus Khim-Sen Liew & Terence Tai-leung Chong, 2005. "Autoregressive Lag Length Selection Criteria in the Presence of ARCH Errors," Economics Bulletin, AccessEcon, vol. 3(19), pages 1-5.
    13. Błażej Mazur & Mateusz Pipień, 2012. "On the Empirical Importance of Periodicity in the Volatility of Financial Returns - Time Varying GARCH as a Second Order APC(2) Process," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(2), pages 95-116, June.
    14. John Cotter, 2005. "Extreme risk in futures contracts," Applied Economics Letters, Taylor & Francis Journals, vol. 12(8), pages 489-492.
    15. Emrah Çevik & Erdal Atukeren & Turhan Korkmaz, 2013. "Nonlinearity and nonstationarity in international art market prices: evidence from Markov-switching ADF unit root tests," Empirical Economics, Springer, vol. 45(2), pages 675-695, October.
    16. Javier Ojea-Ferreiro, 2021. "Deconstructing systemic risk: A reverse stress testing approach," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    17. Liu, Lu, 2014. "Extreme downside risk spillover from the United States and Japan to Asia-Pacific stock markets," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 39-48.
    18. Tae-Hwy Lee & Yong Bao & Burak Saltoglu, 2006. "Evaluating predictive performance of value-at-risk models in emerging markets: a reality check," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 101-128.
    19. Abdollahi, Hooman, 2020. "A novel hybrid model for forecasting crude oil price based on time series decomposition," Applied Energy, Elsevier, vol. 267(C).
    20. Panos Pouliasis & Ioannis Kyriakou & Nikos Papapostolou, 2017. "On equity risk prediction and tail spillovers," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 379-393, October.
    21. Chang, Kuang-Liang, 2010. "House price dynamics, conditional higher-order moments, and density forecasts," Economic Modelling, Elsevier, vol. 27(5), pages 1029-1039, September.
    22. Negin Entezari & José Alberto Fuinhas, 2024. "Quantifying the Impact of Risk on Market Volatility and Price: Evidence from the Wholesale Electricity Market in Portugal," Sustainability, MDPI, vol. 16(7), pages 1-21, March.

  32. Li, Ming-Yuan Leon & Lin, Hsiou-Wei William, 2003. "Examining the Volatility of Taiwan Stock Index Returns Via a Three-Volatility-Regime Markov-Switching ARCH Model," Review of Quantitative Finance and Accounting, Springer, vol. 21(2), pages 123-139, September.

    Cited by:

    1. Ming‐Yuan Leon Li, 2009. "The dynamics of the relationship between spot and futures markets under high and low variance regimes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 696-718, November.
    2. Jiang, Yu & Fang, Xianming, 2015. "Bull, bear or any other states in US stock market?," Economic Modelling, Elsevier, vol. 44(C), pages 54-58.
    3. Wang, Ping & Theobald, Mike, 2008. "Regime-switching volatility of six East Asian emerging markets," Research in International Business and Finance, Elsevier, vol. 22(3), pages 267-283, September.
    4. José Dias & Sofia Ramos, 2014. "The aftermath of the subprime crisis: a clustering analysis of world banking sector," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 293-308, February.
    5. Abounoori, Esmaiel & Elmi, Zahra (Mila) & Nademi, Younes, 2016. "Forecasting Tehran stock exchange volatility; Markov switching GARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 264-282.
    6. Georgios Kouretas & Manolis Syllignakis, 2012. "Switching Volatility in Emerging Stock Markets and Financial Liberalization: Evidence from the new EU Member Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(2), pages 65-93, June.
    7. Kim Hiang Liow & Qing Ye, 2014. "Switching volatility and cross-market linkages in public property markets," Journal of Property Research, Taylor & Francis Journals, vol. 31(4), pages 287-314, December.
    8. Massimo Costabile & Arturo Leccadito & Ivar Massabó & Emilio Russo, 2014. "A reduced lattice model for option pricing under regime-switching," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 667-690, May.
    9. Arturo Leccadito & Stefania Veltri, 2015. "A regime switching Ohlson model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2015-2035, September.

  33. Power, C. & Frank, J. & Hertzman, C. & Schierhout, G. & Li, L., 2001. "Predictors of low back pain onset in a prospective British study," American Journal of Public Health, American Public Health Association, vol. 91(10), pages 1671-1678.

    Cited by:

    1. Kimiko Tomioka & Teruyo Kitahara & Midori Shima & Keigo Saeki, 2021. "Fraction and Number of Unemployed Associated with Self-Reported Low Back Pain: A Nation-Wide Cross-Sectional Study in Japan," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    2. Rehana Rehman & Rakhshaan Khan & Ambreen Surti & Hira Khan, 2013. "An Ounce of Discretion Is Worth a Pound of Wit — Ergonomics Is a Healthy Choice," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-5, October.
    3. Steven Z George & John D Childs & Deydre S Teyhen & Samuel S Wu & Alison C Wright & Jessica L Dugan & Michael E Robinson, 2012. "Predictors of Occurrence and Severity of First Time Low Back Pain Episodes: Findings from a Military Inception Cohort," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-9, February.
    4. Hongmei Tong & Yu Lung & Shen (Lamson) Lin & Karen M Kobayashi & Karen M Davison & Senyo Agbeyaka & Esme Fuller-Thomson, 2021. "Refugee status is associated with double the odds of psychological distress in mid-to-late life: Findings from the Canadian Longitudinal Study on Aging," International Journal of Social Psychiatry, , vol. 67(6), pages 747-760, September.

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