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Hsin-Yi Lin

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. Chia-Chang Chuang & Chung-Ming Kuan & Hsin-yi Lin, 2007. "Causality in Quantiles and Dynamic Stock Return-Volume Relations," IEAS Working Paper : academic research 07-A006, Institute of Economics, Academia Sinica, Taipei, Taiwan.

    Cited by:

    1. Baur, Dirk G. & Dimpfl, Thomas & Jung, Robert C., 2012. "Stock return autocorrelations revisited: A quantile regression approach," University of Tübingen Working Papers in Business and Economics 24, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    2. Broto, Carmen & Díaz-Cassou, Javier & Erce, Aitor, 2011. "Measuring and explaining the volatility of capital flows to emerging countries," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1941-1953, August.
    3. Haoyuan Ding & Yuying Jin & Cong Qin & Jiezhou Ying, 2020. "Tail Causality between Crude Oil Price and RMB Exchange Rate," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(3), pages 116-134, May.
    4. Riza Demirer & Rangan Gupta & Asli Yuksel & Aydin Yuksel, 2020. "The U.S. Term Structure and Return Volatility in Global REIT Markets," Working Papers 202069, University of Pretoria, Department of Economics.
    5. Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2023. "Testing Granger Non-Causality in Expectiles," University of East Anglia School of Economics Working Paper Series 2023-02, School of Economics, University of East Anglia, Norwich, UK..
    6. Chen, Yen-Chun & Lin, Ya-Hui & Li, Po-Chien & Chen, Chung-Jen, 2022. "Understanding the interplay between competitor and alliance orientations in product innovativeness: An integrative framework," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Kenneth A. Tah & Geoffrey Ngene, 2021. "Dynamic linkages between US and Eurodollar interest rates: new evidence from causality in quantiles," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 200-210, January.
    8. Hau, Liya & Zhu, Huiming & Shahbaz, Muhammad & Sun, Wuqin, 2021. "Does transaction activity predict Bitcoin returns? Evidence from quantile-on-quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    9. Jena, Sangram Keshari & Lahiani, Amine & Tiwari, Aviral Kumar & Roubaud, David, 2021. "Uncovering the complex asymmetric relationship between trading activity and commodity futures price: Evidenced from QNARDL study," Resources Policy, Elsevier, vol. 74(C).
    10. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
    11. Gebka, Bartosz & Wohar, Mark E., 2013. "Causality between trading volume and returns: Evidence from quantile regressions," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 144-159.
    12. Reboredo, Juan C. & Ugolini, Andrea, 2017. "Quantile causality between gold commodity and gold stock prices," Resources Policy, Elsevier, vol. 53(C), pages 56-63.
    13. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    14. Ding, Haoyuan & Chong, Terence Tai-leung & Park, Sung Y., 2014. "Nonlinear dependence between stock and real estate markets in China," Economics Letters, Elsevier, vol. 124(3), pages 526-529.
    15. Naifar, Nader & Hammoudeh, Shawkat, 2016. "Do global financial distress and uncertainties impact GCC and global sukuk return dynamics?," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 57-69.
    16. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    17. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    18. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    19. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    20. Wuyi Ye & Kebing Luo & Shaofu Du, 2014. "Measuring Contagion of Subprime Crisis Based on MVMQ-CAViaR Method," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-12, June.
    21. Effiong, Ekpeno L., 2016. "Nonlinear Dependence between Stock Prices and Exchange Rate in Nigeria," MPRA Paper 74336, University Library of Munich, Germany.
    22. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
    23. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2017. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Working Papers 2017-10, University of Tasmania, Tasmanian School of Business and Economics.
    24. Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Cryptocurrencies vs. US dollar: Evidence from causality in quantiles analysis," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 238-252.
    25. Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
    26. 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).
    27. Ramzi Benkraiem & Thi Hong Van Hoang & Amine Lahiani & Anthony Miloudi, 2018. "Crude oil and equity markets in major European countries: New evidence," Post-Print hal-01914607, HAL.
    28. Yi-Ting Chen, 2016. "Testing for Granger Causality in Moments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 265-288, April.
    29. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    30. Zhenghui Li & Zhiming Ao & Bin Mo, 2021. "Revisiting the Valuable Roles of Global Financial Assets for International Stock Markets: Quantile Coherence and Causality-in-Quantiles Approaches," Mathematics, MDPI, vol. 9(15), pages 1-18, July.
    31. Ardalankia, Jamshid & Osoolian, Mohammad & Haven, Emmanuel & Jafari, G. Reza, 2020. "Scaling features of price–volume cross correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    32. 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).
    33. Lee, Jaeram & Lee, Geul & Ryu, Doojin, 2018. "Difference in the intraday return-volume relationships of spots and futures: A quantile regression approach," Economics Discussion Papers 2018-68, Kiel Institute for the World Economy (IfW Kiel).
    34. Ciner, Cetin, 2015. "Time variation in systematic risk, returns and trading volume: Evidence from precious metals mining stocks," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 277-283.
    35. Siddhartha Bandyopadhyay & Samrat Bhattacharya & Rudra Sensarma, 2015. "An analysis of the factors determining crime in England and Wales: A quantile regression approach," Economics Bulletin, AccessEcon, vol. 35(1), pages 665-679.
    36. Riza Demirer & Asli Yuksel & Aydin Yuksel, 2020. "The U.S. term structure and return volatility in emerging stock markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 687-707, October.
    37. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    38. Troster, Victor & Bouri, Elie & Roubaud, David, 2019. "A quantile regression analysis of flights-to-safety with implied volatilities," Resources Policy, Elsevier, vol. 62(C), pages 482-495.
    39. Louhichi, Waël, 2011. "What drives the volume-volatility relationship on Euronext Paris?," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 200-206, August.
    40. Fredj Jawadi & Waël Louhichi & Abdoulkarim Idi Cheffou & Rivo Randrianarivony, 2016. "Intraday jumps and trading volume: a nonlinear Tobit specification," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1167-1186, November.
    41. Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
    42. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    43. Batten, Jonathan A. & Ciner, Cetin & Kosedag, Arman & Lucey, Brian M., 2017. "Is the price of gold to gold mining stocks asymmetric?," Economic Modelling, Elsevier, vol. 60(C), pages 402-407.
    44. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "A real-time quantile-regression approach to forecasting gold returns under asymmetric loss," Resources Policy, Elsevier, vol. 45(C), pages 299-306.
    45. Soylu, Pınar Kaya & Güloğlu, Bülent, 2019. "Financial contagion and flight to quality between emerging markets and U.S. bond market," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    46. Daouda Lawa tan Toe & Salifou Ouedraogo, 2022. "Dynamic relationship between trading volume, returns and returns volatility: an empirical investigation on the main African’s stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 23(5), pages 429-444, September.
    47. Kyritsis, Evangelos & Andersson, Jonas, 2019. "Causality in quantiles and dynamic relations in energy markets: (De)tails matter," Energy Policy, Elsevier, vol. 133(C).
    48. Hong Cheng & Yunqing Wang & Yihong Wang & Tinggan Yang, 2022. "Inferring Causal Interactions in Financial Markets Using Conditional Granger Causality Based on Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 719-748, February.
    49. 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.
    50. Juan Carlos Reboredo & Nader Naifar, 2017. "Do Islamic Bond (Sukuk) Prices Reflect Financial and Policy Uncertainty? A Quantile Regression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(7), pages 1535-1546, July.
    51. Shaddady, Ali & Moore, Tomoe, 2019. "Investigation of the effects of financial regulation and supervision on bank stability: The application of CAMELS-DEA to quantile regressions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 96-116.
    52. Paulo Sergio Ceretta & Marcelo Brutti Righi & Alexandre Silva Da costa & Fernanda Maria Muller, 2012. "Quantiles autocorrelation in stock markets returns," Economics Bulletin, AccessEcon, vol. 32(3), pages 2065-2075.
    53. Wang, Zijun & Qian, Yan & Wang, Shiwen, 2018. "Dynamic trading volume and stock return relation: Does it hold out of sample?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 195-210.
    54. Pradkhan, Elina, 2017. "Financial activity in agricultural futures markets: evidence from quantile regressions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), October.
    55. 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).
    56. Agapova, Anna & Kaprielyan, Margarita, 2020. "Stock volatility and trading," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    57. Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
    58. Andre M. Marques & Gilberto Tadeu Lima, 2021. "Testing for Granger Causality in Quantiles Between the Wage Share and Capacity Utilization," Working Papers, Department of Economics 2021_03, University of São Paulo (FEA-USP).
    59. Zheng Yang & Anthony H. Tu & Yong Zeng, 2014. "Dynamic linkages between Asian stock prices and exchange rates: new evidence from causality in quantiles," Applied Economics, Taylor & Francis Journals, vol. 46(11), pages 1184-1201, April.
    60. Chen, Cathy W.S. & Gerlach, Richard & Wei, D.C.M., 2009. "Bayesian causal effects in quantiles: Accounting for heteroscedasticity," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1993-2007, April.
    61. Cathy W. S. Chen & Muyi Li & Nga T. H. Nguyen & Songsak Sriboonchitta, 2017. "On Asymmetric Market Model with Heteroskedasticity and Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 155-174, January.
    62. 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.
    63. Peng, Yi-Ting & Chang, Tsangyao & Ranjbar, Omid & Xiang, Feiyun, 2024. "Has the COVID-19 pandemic shock transmitted to the u.s. stock market: Evidence using bootstrap (A)symmetric fourier granger causality test in quantiles," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    64. Xiao, Di & Wang, Jun, 2020. "Dynamic complexity and causality of crude oil and major stock markets," Energy, Elsevier, vol. 193(C).
    65. Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021. "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, vol. 61(4), pages 2041-2072, October.
    66. Albulescu, C.T. & Bouri, E. & Tiwari, A.K. & Roubaud, D., 2020. "Quantile causality between banking stock and real estate securities returns in the US," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 251-260.
    67. Mai, Nhat Chi, 2016. "The Influence Of Macroeconomic Announcements Into Vietnamese Stock Market Volatility," OSF Preprints ydmhx, Center for Open Science.
    68. Marañon, Matias & Kumral, Mustafa, 2021. "Empirical analysis of Chile's copper boom and the Dutch Disease through causality and cointegration tests," Resources Policy, Elsevier, vol. 70(C).
    69. Amir Rubin & Daniel Smith, 2010. "Comparing Different Explanations of the Volatility Trend," NCER Working Paper Series 68, National Centre for Econometric Research.
    70. Ben Rejeb, Aymen, 2017. "On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 794-815.
    71. Peng, Cheng & Zhu, Huiming & Jia, Xianghua & You, Wanhai, 2017. "Stock price synchronicity to oil shocks across quantiles: Evidence from Chinese oil firms," Economic Modelling, Elsevier, vol. 61(C), pages 248-259.
    72. Pagliari, Maria Sole & Ahmed Hannan, Swarnali, 2024. "The volatility of capital flows in emerging markets: Measures and determinants," Journal of International Money and Finance, Elsevier, vol. 145(C).
    73. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
    74. Makkonen, Adam & Vallström, Daniel & Uddin, Gazi Salah & Rahman, Md Lutfur & Haddad, Michel Ferreira Cardia, 2021. "The effect of temperature anomaly and macroeconomic fundamentals on agricultural commodity futures returns," Energy Economics, Elsevier, vol. 100(C).
    75. Behrendt, Simon & Schmidt, Alexander, 2021. "Nonlinearity matters: The stock price – trading volume relation revisited," Economic Modelling, Elsevier, vol. 98(C), pages 371-385.
    76. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    77. Cathy W.S. Chen & Mike K.P. So & Thomas C. Chiang, 2016. "Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 96-124, March.
    78. Zhi Yang & Zhao Fei & Jing Wang, 2024. "Research on the Correlation between the Exchange Rate of Offshore RMB and the Stock Index Futures," Mathematics, MDPI, vol. 12(5), pages 1-15, February.
    79. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022. "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    80. Reboredo, Juan C. & Uddin, Gazi Salah, 2016. "Do financial stress and policy uncertainty have an impact on the energy and metals markets? A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 284-298.
    81. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    82. 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).
    83. Youssef, Manel & Mokni, Khaled, 2020. "Modeling the relationship between oil and USD exchange rates: Evidence from a regime-switching-quantile regression approach," Journal of Multinational Financial Management, Elsevier, vol. 55(C).
    84. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    85. Al-Nasseri, Alya & Menla Ali, Faek & Tucker, Allan, 2021. "Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors," International Review of Financial Analysis, Elsevier, vol. 78(C).
    86. 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.
    87. Zhou, Dong-hai & Liu, Xiao-xing, 2024. "Does systemic risk in the fund markets predict future economic downturns?," International Review of Financial Analysis, Elsevier, vol. 92(C).
    88. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Sohail, Asiya & Al-Yahyaee, Khamis Hamed, 2019. "Does gold act as a hedge against different nuances of inflation? Evidence from Quantile-on-Quantile and causality-in- quantiles approaches," Resources Policy, Elsevier, vol. 62(C), pages 602-615.
    89. Dirk G Baur & Thomas Dimpfl, 2012. "State-dependent Momentum in International Stock Markets," Working Paper Series 169, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    90. Scarcioffolo, Alexandre R. & Etienne, Xiaoli, 2021. "Testing directional predictability between energy prices: A quantile-based analysis," Resources Policy, Elsevier, vol. 74(C).
    91. Scharnowski, Matthias & Scharnowski, Stefan & Zimmermann, Lukas, 2023. "Fan tokens: Sports and speculation on the blockchain," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    92. Jiranyakul, Komain, 2016. "Dynamic relationship between stock return, trading volume, and volatility in the Stock Exchange of Thailand: does the US subprime crisis matter?," MPRA Paper 73791, University Library of Munich, Germany.
    93. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    94. Xu, Alan, 2022. "Air pollution and mediation effects in stock market, longitudinal evidence from China," International Review of Financial Analysis, Elsevier, vol. 83(C).
    95. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Shahzad, Syed Jawad Hussain, 2017. "Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 453-483.
    96. Oktay Ozkan, 2020. "Time-varying return predictability and adaptive markets hypothesis: Evidence on MIST countries from a novel wild bootstrap likelihood ratio approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 34(2), pages 101-113.
    97. Marques, André M. & Lima, Gilberto Tadeu, 2022. "Testing for Granger causality in quantiles between the wage share in income and productive capacity utilization," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 290-312.
    98. Gupta, Suman & Das, Debojyoti & Hasim, Haslifah & Tiwari, Aviral Kumar, 2018. "The dynamic relationship between stock returns and trading volume revisited: A MODWT-VAR approach," Finance Research Letters, Elsevier, vol. 27(C), pages 91-98.
    99. Ni, Zhong-Xin & Wang, Da-Zhong & Xue, Wen-Jun, 2015. "Investor sentiment and its nonlinear effect on stock returns—New evidence from the Chinese stock market based on panel quantile regression model," Economic Modelling, Elsevier, vol. 50(C), pages 266-274.
    100. 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.
    101. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    102. 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).
    103. Ding, Haoyuan & Kim, Hyung-Gun & Park, Sung Y., 2014. "Do net positions in the futures market cause spot prices of crude oil?," Economic Modelling, Elsevier, vol. 41(C), pages 177-190.
    104. Chunpeng Yang & Jun Chi, 2023. "Investor sentiment and volatility of exchange‐traded funds: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 668-680, January.
    105. Shen, Yifan & Shi, Xunpeng & Variam, Hari Malamakkavu Padinjare, 2018. "Risk transmission mechanism between energy markets: A VAR for VaR approach," Energy Economics, Elsevier, vol. 75(C), pages 377-388.
    106. Ye, Wuyi & Zhu, Yangguang & Wu, Yuehua & Miao, Baiqi, 2016. "Markov regime-switching quantile regression models and financial contagion detection," Insurance: Mathematics and Economics, Elsevier, vol. 67(C), pages 21-26.
    107. Zied Ftiti & Fredj Jawadi & Waël Louhichi, 2017. "Modelling the relationship between future energy intraday volatility and trading volume with wavelet," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1981-1993, April.
    108. Min Liu & Chien‐Chiang Lee & Wei‐Chong Choo, 2021. "An empirical study on the role of trading volume and data frequency in volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 792-816, August.
    109. Kuan, Tsung-Han & Li, Chu-Shiu & Liu, Chwen-Chi, 2012. "Corporate governance and cash holdings: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 303-314.
    110. Ding, Haoyuan & Kim, Hyung-Gun & Park, Sung Y., 2016. "Crude oil and stock markets: Causal relationships in tails?," Energy Economics, Elsevier, vol. 59(C), pages 58-69.
    111. Gonzalo, Jesús & Taamouti, Abderrahim, 2012. "The reaction of stock market returns to anticipated unemployment," UC3M Working papers. Economics we1237, Universidad Carlos III de Madrid. Departamento de Economía.
    112. Lili Li & Shan Leng & Jun Yang & Mei Yu, 2016. "Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, September.
    113. Shen, Yifan, 2018. "International risk transmission of stock market movements," Economic Modelling, Elsevier, vol. 69(C), pages 220-236.
    114. Mokni, Khaled, 2021. "When, where, and how economic policy uncertainty predicts Bitcoin returns and volatility? A quantiles-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 65-73.
    115. Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Zeitun, Rami & Rehman, Mobeen Ur, 2017. "Diversification potential of Asian frontier, BRIC emerging and major developed stock markets: A wavelet-based value at risk approach," Emerging Markets Review, Elsevier, vol. 32(C), pages 130-147.
    116. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    117. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable Energy, Oil Prices, and Economic Activity: A Granger-causality in Quantiles Analysis," MPRA Paper 84194, University Library of Munich, Germany, revised 19 Jan 2018.
    118. Naifar, Nader & Mroua, Mourad & Bahloul, Slah, 2017. "Do regional and global uncertainty factors affect differently the conventional bonds and sukuk? New evidence," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 65-74.
    119. Stephanos Papadamou & Νikolaos A. Kyriazis & Panayiotis G. Tzeremes, 2020. "US non-linear causal effects on global equity indices in Normal times versus unconventional eras," International Economics and Economic Policy, Springer, vol. 17(2), pages 381-407, May.
    120. Ben Rejeb, Aymen, 2016. "Volatility Spillover between Islamic and conventional stock markets: evidence from Quantile Regression analysis," MPRA Paper 73302, University Library of Munich, Germany.
    121. Marcus Alexander Ong, 2015. "An information theoretic analysis of stock returns, volatility and trading volumes," Applied Economics, Taylor & Francis Journals, vol. 47(36), pages 3891-3906, August.
    122. Park, Sung Y. & Ryu, Doojin & Song, Jeongseok, 2017. "The dynamic conditional relationship between stock market returns and implied volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 638-648.
    123. Swamy, Vighneswara & Dharani, M. & Takeda, Fumiko, 2019. "Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 50(C), pages 1-17.
    124. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
    125. Mokni, Khaled & Ben-Salha, Ousama, 2020. "Asymmetric causality in quantiles analysis of the oil-food ‏ ‏nexus since the 1960s," Resources Policy, Elsevier, vol. 69(C).
    126. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    127. Hao, Jing & He, Feng, 2018. "Univariate dependence among sectors in Chinese stock market and systemic risk implication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 355-364.
    128. Zhuhua Jiang & Rangan Gupta & Sowmya Subramaniam & Seong-Min Yoon, 2021. "The Effect of Air Quality and Weather on the Chinese Stock: Evidence from Shenzhen Stock Exchange," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    129. Hong, Yanran & Ma, Feng & Wang, Lu & Liang, Chao, 2022. "How does the COVID-19 outbreak affect the causality between gold and the stock market? New evidence from the extreme Granger causality test," Resources Policy, Elsevier, vol. 78(C).
    130. Lee, Bong Soo & Li, Ming-Yuan Leon, 2012. "Diversification and risk-adjusted performance: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2157-2173.
    131. Kim, Myeong Jun & Canh, Nguyen Phuc & Park, Sung Y., 2021. "Causal relationship among cryptocurrencies: A conditional quantile approach," Finance Research Letters, Elsevier, vol. 42(C).
    132. Yang, Kun & Wei, Yu & Li, Shouwei & Liu, Liang & Wang, Lei, 2021. "Global financial uncertainties and China’s crude oil futures market: Evidence from interday and intraday price dynamics," Energy Economics, Elsevier, vol. 96(C).
    133. 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.
    134. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    135. Abhinava Tripathi & Vipul & Alok Dixit, 2020. "Liquidity commonality beyond best prices: Indian evidence," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 355-373, July.
    136. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    137. Nasiri, S. & Bektas, E. & Jafari, G.R., 2018. "The impact of trading volume on the stock market credibility: Bohmian quantum potential approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1104-1112.
    138. You, Wanhai & Guo, Yawei & Peng, Cheng, 2017. "Twitter's daily happiness sentiment and the predictability of stock returns," Finance Research Letters, Elsevier, vol. 23(C), pages 58-64.
    139. 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).
    140. Chin, Chang-Chiang & Paphakin, Warinthorn, 2021. "The daily relationship between U.S. asset prices and stock prices of American countries," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    141. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2016. "A new structural stochastic volatility model of asset pricing and its stylized facts," Papers 1604.08824, arXiv.org.
    142. Yin DAI & Jing-wen ZHANG & Xiu-zhen YU & Xin LI, 2017. "Causality between economic policy uncertainty and exchange rate in China with considering quantile differences," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(612), A), pages 29-38, Autumn.
    143. Elina Pradkhan, 2017. "Financial activity in agricultural futures markets: evidence from quantile regressions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), pages 610-625, October.
    144. Cheng, Ching-Hsue & Wei, Liang-Ying & Liu, Jing-Wei & Chen, Tai-Liang, 2013. "OWA-based ANFIS model for TAIEX forecasting," Economic Modelling, Elsevier, vol. 30(C), pages 442-448.
    145. Tan, Xue-Ping & Wang, Xin-Yu, 2017. "Dependence changes between the carbon price and its fundamentals: A quantile regression approach," Applied Energy, Elsevier, vol. 190(C), pages 306-325.
    146. Jamshid Ardalankia & Mohammad Osoolian & Emmanuel Haven & G. Reza Jafari, 2019. "Scaling Features of Price-Volume Cross-Correlation," Papers 1903.01744, arXiv.org, revised Aug 2020.
    147. Paeng, Seongcheol & Senteney, Dave & Yang, Taewon, 2024. "Spillover effects, lead and lag relationships, and stable coins time series," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 45-60.
    148. Donald Lien & Zijun Wang, 2019. "Quantile information share," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 38-55, January.
    149. Hooy, Chee-Wooi & Lee, Meng-Horng & Chong, Terence Tai Leung, 2017. "The Sources of Country and Industry Variations in ASEAN Stock Returns," MPRA Paper 80574, University Library of Munich, Germany.
    150. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    151. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    152. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW Kiel).

Articles

  1. Hsin-Yi Lin, 2013. "Dynamic Stock Return–Volume Relation: Evidence From Emerging Asian Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 65(2), pages 178-193, April.

    Cited by:

    1. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    2. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    3. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and Volatility Spillover effects in Equity Markets during and after the Global Financial Crisis: an MEM approach," Cardiff Economics Working Papers E2018/6, Cardiff University, Cardiff Business School, Economics Section.
    4. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    5. Lee, Jaeram & Lee, Geul & Ryu, Doojin, 2018. "Difference in the intraday return-volume relationships of spots and futures: A quantile regression approach," Economics Discussion Papers 2018-68, Kiel Institute for the World Economy (IfW Kiel).
    6. Daouda Lawa tan Toe & Salifou Ouedraogo, 2022. "Dynamic relationship between trading volume, returns and returns volatility: an empirical investigation on the main African’s stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 23(5), pages 429-444, September.
    7. Hong Cheng & Yunqing Wang & Yihong Wang & Tinggan Yang, 2022. "Inferring Causal Interactions in Financial Markets Using Conditional Granger Causality Based on Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 719-748, February.
    8. Imtiaz Mohammad Sifat & Azhar Mohamad, 2019. "Circuit breakers as market stability levers: A survey of research, praxis, and challenges," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1130-1169, July.
    9. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    10. Guo, Peng & Shi, Jing, 2024. "Geopolitical risks, investor sentiment and industry stock market volatility in China: Evidence from a quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    11. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    12. Jiranyakul, Komain, 2016. "Dynamic relationship between stock return, trading volume, and volatility in the Stock Exchange of Thailand: does the US subprime crisis matter?," MPRA Paper 73791, University Library of Munich, Germany.
    13. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    14. Parab Narayan & Y. V. Reddy, 2017. "Exploring the Causal Relationship Between Stock Returns, Volume, and Turnover across Sectoral Indices in Indian Stock Market," Metamorphosis: A Journal of Management Research, , vol. 16(2), pages 122-140, December.
    15. Nasiri, S. & Bektas, E. & Jafari, G.R., 2018. "The impact of trading volume on the stock market credibility: Bohmian quantum potential approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1104-1112.
    16. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    17. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW Kiel).

  2. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.

    Cited by:

    1. Josh Ryan-Collins, 2015. "Is Monetary Financing Inflationary? A Case Study of the Canadian Economy, 1935-75," Economics Working Paper Archive wp_848, Levy Economics Institute.
    2. Hanana Khan & Maran Marimuthu & Fong-Woon Lai, 2020. "Fiscal Deficit and Its Less Inflationary Sources of Borrowing with the Moderating Role of Political Instability: Evidence from Malaysia," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    3. Nasir, Muhammad Ali & Huynh, Toan Luu Duc, 2024. "Nexus between inflation and inflation expectations at the zero lower bound: A tiger by the tail," Economic Modelling, Elsevier, vol. 131(C).
    4. Abel M. Agoba, 2021. "Minimising the inflationary impact of fiscal deficits in Africa: The role of monetary, financial and political institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 724-740, January.
    5. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
    6. Mesbah Fathy Sharaf & Abdelhalem Mahmoud Shahen & Badr Abdulaziz Binzaid, 2024. "Asymmetric and Nonlinear Foreign Debt–Inflation Nexus in Brazil: Evidence from NARDL and Markov Regime Switching Approaches," Economies, MDPI, vol. 12(1), pages 1-20, January.
    7. Nasir, Muhammad Ali & Balsalobre-Lorente, Daniel & Huynh, Toan Luu Duc, 2020. "Anchoring inflation expectations in the face of oil shocks & in the proximity of ZLB: A tale of two targeters," Energy Economics, Elsevier, vol. 86(C).
    8. Bello, Abdulmajeed Kumo & Joshua Adams Ndako & Yusuf, Fadimah & Amodu Amina Ejura, 2023. "Fiscal Dominance and Monetary Policy Efficacy in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(10), pages 857-877, October.
    9. Perevyshin, Yuri (Перевышин, Юрий), 2017. "Peculiarities of Interaction of Monetary and Fiscal Policy Under the Inflation Targeting Regime [Особенности Взаимодействия Денежно-Кредитной И Фискальной Политики При Режиме Инфляционного Таргетир," Working Papers 031711, Russian Presidential Academy of National Economy and Public Administration.
    10. Abdul Jalil & Hafsa Hina (ed.), 2024. "Monetary Policy: Crafting a Path for Pakistans Economic Stability," PIDE Books, Pakistan Institute of Development Economics, number 2024:03, October.
    11. Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    12. Nasir, Muhammad Ali & Huynh, Toan Luu Duc & Yarovaya, Larisa, 2020. "Inflation targeting & implications of oil shocks for inflation expectations in oil-importing and exporting economies: Evidence from three Nordic Kingdoms," International Review of Financial Analysis, Elsevier, vol. 72(C).
    13. Josh Ryan-Collins & Frank van Lerven, 2018. "Bringing the helicopter to ground: a historical review of fiscal-monetary coordination to support economic growth in the 20th century," Working Papers PKWP1810, Post Keynesian Economics Society (PKES).
    14. Obaid, Shahid & Baig, Mirza Aqeel & Shah, Muzafar Ali, 2020. "Determining inflation as monetary or fiscal phenomenon: An empirical evidence from South Asia," BizEcons Quarterly, Strides Educational Foundation, vol. 6, pages 22-48.
    15. Lin, Hsin-Yi, 2016. "Do quantitative monetary targets matter?," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 415-428.
    16. López-Martín, Bernabé & Ramírez de Aguilar, Alberto & Samano, Daniel, 2018. "Fiscal Policy and Inflation: Understanding the Role of Expectations in Mexico," IDB Publications (Working Papers) 9025, Inter-American Development Bank.
    17. Audi, Marc & Ali, Amjad, 2022. "Public policy and economic misery nexus: a comparative analysis of developed and developing world," MPRA Paper 115031, University Library of Munich, Germany.
    18. Shahzad, Umer & Orsi, Bianca & Sharma, Gagan Deep, 2024. "Managing inflation expectations and the efficiency of monetary policy responses to energy crises," Energy Economics, Elsevier, vol. 133(C).
    19. Ayesha Mushtaq & Khalid Zaman, 2013. "Macroeconomic Factors Affecting Budget Deficit in Pakistan: A Time Series Analysis," Oeconomics of Knowledge, Saphira Publishing House, vol. 5(4), pages 17-33, October.
    20. A.U. Aimola & N.M. Odhiambo, 2021. "Public Debt and Inflation Nexus in Nigeria: An ARDL Bounds Test Approach," Working Papers AESRI-2021-09, African Economic and Social Research Institute (AESRI), revised May 2021.
    21. Nordvik, Frode Martin, 2022. "Inflation news and the poor: The role of ethnic heterogeneity," World Development, Elsevier, vol. 151(C).
    22. Lim Chia Yien & Hussin Abdullah & Muhammad Azam, 2017. "Granger Causality Analysis between Inflation, Debt and Exchange Rate: Evidence from Malaysia," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(1), pages 189-196, January.
    23. Kudrin, Alexey & Sokolov, Ilya, 2017. "Fiscal maneuver and restructuring of the Russian economy," Russian Journal of Economics, Elsevier, vol. 3(3), pages 221-239.
    24. Michael Bleaney & Manuela Francisco, 2018. "Is The Phillips Curve Different In Poor Countries?," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 17-28, January.
    25. Hossein-Ali Fakher, 2016. "The Empirical Relationship between Fiscal Deficits and Inflation (Case Study: Selected Asian Economies)," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 20(4), pages 551-579, Autumn.
    26. Mawejje, Joseph & Odhiambo, Nicholas M, 2022. "Macroeconomic determinants of fiscal policy in east Africa: a panel causality analysis," Working Papers 29842, University of South Africa, Department of Economics.
    27. Clement Olalekan Olaniyi, 2020. "Application of Bootstrap Simulation and Asymmetric Causal Approach to Fiscal Deficit-Inflation Nexus," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 12(2), pages 123-140, May.
    28. Sriyana, Jaka, 2018. "Inflationary effects of fiscal and monetary policies in Indonesia," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 14(3), June.
    29. Van Bon Nguyen, 2022. "Does governance matter for the public debt–inflation relationship in developed countries? Panel quantile regression approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1153-1173, December.
    30. Olusola Joel Oyeleke, 2021. "On the Non-Linear Relationship between Fiscal Deficit and Inflation: The Nigeria Experience," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(2), pages 105-117, May.
    31. Maissa Elmrabet & Boulila Ghazi, 2018. "Causality deficit-inflation : wavelet transform," Working Papers hal-01941464, HAL.
    32. Montes, Gabriel Caldas & Curi, Alexandre, 2017. "Disagreement in expectations about public debt, monetary policy credibility and inflation risk premium," Journal of Economics and Business, Elsevier, vol. 93(C), pages 46-61.
    33. Ha,Jongrim & Ivanova,Anna & Ohnsorge,Franziska Lieselotte & Unsal Portillo Ocando,Derya Filiz, 2019. "Inflation : Concepts, Evolution, and Correlates," Policy Research Working Paper Series 8738, The World Bank.
    34. Kia, Amir & Jafari, Mahboubeh, 2020. "Forward-looking agents and inflation in an oil-producing country: Evidence from Iran," Journal of Asian Economics, Elsevier, vol. 69(C).
    35. Dejan Živkov & Jovan Njegic & Marko Pecanac, 2014. "Bidirectional linkage between inflation and inflation uncertainty – the case of Eastern European countries," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 14(1-2), pages 124-139, December.
    36. Khieu Van, Hoang, 2014. "Budget deficit, money growth and inflation: Empirical evidence from Vietnam," MPRA Paper 54488, University Library of Munich, Germany, revised 12 Feb 2014.
    37. Ismail O. Fasanya & Ayinke Fajobi & Abiodun Adetokunbo, 2021. "Are Fiscal Deficits Inflationary In Nigeria? New Evidence From Bounds Testing To Cointegration With Structural Breaks," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(228), pages 123-148, January –.
    38. Joseph Mawejje & Nicholas M. Odhiambo, 2022. "The determinants and cyclicality of fiscal policy: Empirical evidence from East Africa," International Economics, CEPII research center, issue 169, pages 50-70.
    39. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    40. Joseph Mawejje & Nicholas M. Odhiambo, 2020. "The determinants of fiscal deficits: a survey of literature," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 67(3), pages 403-417, September.
    41. Dmitriev, Mikhail & Kersting, Erasmus K., 2016. "Inflation level and inflation volatility: A seigniorage argument," Economics Letters, Elsevier, vol. 147(C), pages 112-115.
    42. Nasir, Muhammad Ali & Duc Huynh, Toan Luu & Vo, Xuan Vinh, 2020. "Exchange rate pass-through & management of inflation expectations in a small open inflation targeting economy," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 178-188.
    43. Michael F. Bleaney & Mo Tian & Lin Yin, 2017. "De Facto Exchange Rate Regime Classifications: An Evaluation," Open Economies Review, Springer, vol. 28(2), pages 369-382, April.
    44. Olusola Oyeleke & Monica Orisadare, 2018. "Relative Importance of Public Debts and Money Growth on Inflation in Nigeria," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(7), pages 1-99, July.
    45. Bilal Raza & Khurram S Mughal, 2022. "Fiscal Determinants of Inflation in Pakistan," SBP Working Paper Series 108, State Bank of Pakistan, Research Department.
    46. Esat Durguti & Nexhat Kryeziu & Emine Gashi, 2020. "How Does the Budget Deficit Affect Inflation Rate-Evidence from Western Balkans," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(1), pages 01-10, January.
    47. Víctor I Espinosa & David O Cueva, 2024. "The political economy of fiscal dominance: Evidence from the Chilean government of Salvador Allende," Economic Affairs, Wiley Blackwell, vol. 44(1), pages 118-138, February.
    48. Kashif Ali & Mahmood Khalid, 2019. "Sources to Finance Fiscal Deficit and Their Impact on Inflation: A Case Study of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 58(1), pages 27-43.
    49. Jalil, Abdul & Tariq, Rabbia & Bibi, Nazia, 2014. "Fiscal deficit and inflation: New evidences from Pakistan using a bounds testing approach," Economic Modelling, Elsevier, vol. 37(C), pages 120-126.
    50. Sabaté, Marcela & Fillat, Carmen & Escario, Regina, 2019. "Budget deficits and money creation: Exploring their relation before Bretton Woods," Explorations in Economic History, Elsevier, vol. 72(C), pages 38-56.
    51. Kaehler, Juergen & Weber, Christoph S., 2023. "Inflation in the aftermath of financial crises," Economic Modelling, Elsevier, vol. 128(C).
    52. Victor Osei & E. Olawale Ogunkola, 2024. "Asymmetric Effects of Fiscal Deficit Financing and Inflation Dynamics in Ghana," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 15(2), pages 1-27, July.
    53. Minea, Alexandru & Tapsoba, René, 2014. "Does inflation targeting improve fiscal discipline?," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 185-203.
    54. Philipp F. M. Baumann & Enzo Rossi & Alexander Volkmann, 2020. "What Drives Inflation and How: Evidence from Additive Mixed Models Selected by cAIC," Papers 2006.06274, arXiv.org, revised Aug 2022.
    55. Ryan Niladri Banerjee & Valerie Boctor & Aaron Mehrotra & Fabrizio Zampolli, 2023. "Fiscal sources of inflation risk in EMDEs: the role of the external channel," BIS Working Papers 1110, Bank for International Settlements.

  3. Hsin-Yi Lin & Kuang-Ta Lo, 2012. "Tax Incentives and Charitable Contributions: the Evidence from Censored Quantile Regression," Pacific Economic Review, Wiley Blackwell, vol. 17(4), pages 535-558, October.

    Cited by:

    1. Lo, Kuang-Ta & Chou, Ta-Sheng & Tsui, Stephanie, 2020. "The asymmetric behavior of household consumption under the business cycle," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Ali Zeytoon-Nejad, 2024. "The Big Tradeoff averted: five avenues to promote efficiency and equality simultaneously," International Economics and Economic Policy, Springer, vol. 21(4), pages 933-968, October.
    3. Jonathan Meer, 2013. "Effects of the Price of Charitable Giving: Evidence from an Online Crowdfunding Platform," NBER Working Papers 19082, National Bureau of Economic Research, Inc.
    4. YoungRok Kim, 2023. "Effects of tax benefits on the price elasticity of charitable contributions in South Korea," Pacific Economic Review, Wiley Blackwell, vol. 28(2), pages 206-217, May.
    5. Nicky Lee Grant, 2016. "Correlated Random Effects Quantile Estimation of the Tax-Price Elasticity of Charitable Donations," Economics Bulletin, AccessEcon, vol. 36(3), pages 1729-1736.

  4. Chen-yuan Tung & Tzu-Chuan Chou & Jih-wen Lin & Hsin-yi Lin, 2011. "Comparing The Forecasting Accuracy Of Prediction Markets And Polls For Taiwan’S Presidential And Mayoral Elections," Journal of Prediction Markets, University of Buckingham Press, vol. 5(3), pages 1-26.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.

  5. Kuan, Chung-Ming & Lin, Hsin-Yi, 2010. "An encompassing test for non-nested quantile regression models," Economics Letters, Elsevier, vol. 107(2), pages 257-260, May.

    Cited by:

    1. Hsin-Yi Lin, 2011. "A robust test for non-nested hypotheses," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(1), pages 93-111, March.

  6. Hsiao-Lan Liu & Hsin-Yi Lin & Shin-Kun Peng, 2010. "The spillover effects of R&D on manufacturing industry in Taiwan’s metropolitan areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(3), pages 519-546, December.

    Cited by:

    1. Strandholm, John C. & Espínola-Arredondo, Ana & Munoz-Garcia, Felix, 2018. "Regulation, free-riding incentives, and investment in R&D with spillovers," Resource and Energy Economics, Elsevier, vol. 53(C), pages 133-146.
    2. Moralles, Herick Fernando & do Nascimento Rebelatto, Daisy Aparecida, 2016. "The effects and time lags of R&D spillovers in Brazil," Technology in Society, Elsevier, vol. 47(C), pages 148-155.

  7. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.
    See citations under working paper version above.
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