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Asymmetric volume volatility causality in dual listing H-shares

Author

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  • Malay K. Dey

    (FINQ)

  • Chaoyan Wang

    (University of Nottingham)

Abstract

Using Granger causality test, we investigate the lead-lag relation between volume and volatility in 14 Chinese ADRs and those of their underlying H-shares. We consider volume as denoting liquidity. We model and forecast volatility using a TARCH model and find evidence of leverage effect and persistence in volatility among the ADRs and H-shares. We document significant but asymmetric bidirectional Granger causality between volume and volatility in ADRs and their underlying H-shares. The asymmetry seems to have declined in recent years, during the latter half of the sample period. We conclude that the relation between liquidity denoted by volume and volatility are time- varying and asymmetric between ADRs and their underlying H-shares.

Suggested Citation

  • Malay K. Dey & Chaoyan Wang, 2022. "Asymmetric volume volatility causality in dual listing H-shares," Journal of Asset Management, Palgrave Macmillan, vol. 23(5), pages 419-428, September.
    • Handle: RePEc:pal:assmgt:v:23:y:2022:i:5:d:10.1057_s41260-022-00275-z
    DOI: 10.1057/s41260-022-00275-z
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    as
    1. Thomas C. Chiang & Zhuo Qiao & Wing-Keung Wong, 2010. "New evidence on the relation between return volatility and trading volume," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 502-515.
    2. Dey, Malay K. & Wang, Chaoyan, 2012. "Return spread and liquidity: Evidence from Hong Kong ADRs," Research in International Business and Finance, Elsevier, vol. 26(2), pages 164-180.
    3. Eric Girard & Rita Biswas, 2007. "Trading Volume and Market Volatility: Developed versus Emerging Stock Markets," The Financial Review, Eastern Finance Association, vol. 42(3), pages 429-459, August.
    4. Shekar Bose & Hafizur Rahman, 2015. "Examining the relationship between stock return volatility and trading volume: new evidence from an emerging economy," Applied Economics, Taylor & Francis Journals, vol. 47(18), pages 1899-1908, April.
    5. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "The Impact of Trades on Daily Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1241-1277.
    6. Pramod Kumar Naik & Rangan Gupta & Puja Padhi, 2018. "The Relationship Between Stock Market Volatility And Trading Volume: Evidence From South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(1), pages 99-114, January-M.
    7. 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.
    8. Xiaoqing Eleanor Xu & Hung–Gay Fung, 2002. "Information Flows across Markets: Evidence from China–Backed Stocks Dual–Listed in Hong Kong and New York," The Financial Review, Eastern Finance Association, vol. 37(4), pages 563-588, November.
    9. Babikir, Ali & Gupta, Rangan & Mwabutwa, Chance & Owusu-Sekyere, Emmanuel, 2012. "Structural breaks and GARCH models of stock return volatility: The case of South Africa," Economic Modelling, Elsevier, vol. 29(6), pages 2435-2443.
    10. Hui-Ching Sana Hsieh, 2014. "The causal relationships between stock returns, trading volume, and volatility," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 10(2), pages 218-240, April.
    11. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
    12. He, Hui & Yang, Jiawen, 2012. "Day and night returns of Chinese ADRs," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2795-2803.
    13. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    15. Copeland, Thomas E., 1977. "A Probability Model of Asset Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 563-578, November.
    16. Poshakwale, Sunil S. & Aquino, Katty Pérez, 2008. "The dynamics of volatility transmission and information flow between ADRs and their underlying stocks," Global Finance Journal, Elsevier, vol. 19(2), pages 187-201.
    17. Będowska-Sójka, Barbara & Kliber, Agata, 2019. "The causality between liquidity and volatility in the Polish stock market," Finance Research Letters, Elsevier, vol. 30(C), pages 110-115.
    18. Darrat, Ali F. & Rahman, Shafiqur & Zhong, Maosen, 2003. "Intraday trading volume and return volatility of the DJIA stocks: A note," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 2035-2043, October.
    19. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    20. Kutan, Ali M. & Zhou, Haigang, 2006. "Determinants of returns and volatility of Chinese ADRs at NYSE," Journal of Multinational Financial Management, Elsevier, vol. 16(1), pages 1-15, February.
    21. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    22. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    23. Chuang, Wen-I & Liu, Hsiang-Hsi & Susmel, Rauli, 2012. "The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility," Global Finance Journal, Elsevier, vol. 23(1), pages 1-15.
    24. Emanuele Bajo, 2010. "The Information Content of Abnormal Trading Volume," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7‐8), pages 950-978, July.
    25. Sabbaghi, Omid, 2011. "Asymmetric volatility and trading volume: The G5 evidence," Global Finance Journal, Elsevier, vol. 22(2), pages 169-181.
    26. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    27. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    28. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    29. Alsubaie, Abdullah & Najand, Mohammad, 2009. "Trading volume, time-varying conditional volatility, and asymmetric volatility spillover in the Saudi stock market," Journal of Multinational Financial Management, Elsevier, vol. 19(2), pages 139-159, April.
    30. Malay K. Dey & Chaoyan Wang, 2021. "Volume decomposition and volatility in dual-listing H-shares," Journal of Asset Management, Palgrave Macmillan, vol. 22(4), pages 301-310, July.
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