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New evidence on the relation between return volatility and trading volume

Author

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  • Thomas C. Chiang

    (Department of Finance, Drexel University, Philadelphia, PA, USA)

  • Zhuo Qiao

    (Faculty of Business Administration, University of Macau, Macau)

  • Wing-Keung Wong

    (Department of Economics, Hong Kong Baptist University, Hong Kong)

Abstract

In the empirical literature, it has been shown that there exists both linear and non-linear bi-directional causality between trading volumes and return volatility (measured by the square of daily return). We re-examine this claim by using realized volatility as an estimator of the unobserved volatility, adopting a stationary de-trended trading volume, and applying a more recent data sample with robustness tests over time. Our linear Granger causality test shows that there is no causal linear relation running from volume to volatility, but there exists an ambiguous causality for the reverse direction. In contrast, we find strong bi-directional non-linear Granger causality between these two variables. On the basis of the non-linear forecasting modeling technique, this study provides strong evidence to support the sequential information hypothesis and demonstrates that it is useful to use lagged values of trading volume to predict return volatility. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
  • Handle: RePEc:jof:jforec:v:29:y:2010:i:5:p:502-515
    DOI: 10.1002/for.1151
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    References listed on IDEAS

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    3. Brian Sing Fan Chan & Andy Cheuk Hin Cheng & Alfred Ka Chun Ma, 2018. "Stock Market Volatility and Trading Volume: A Special Case in Hong Kong With Stock Connect Turnover," JRFM, MDPI, vol. 11(4), pages 1-17, October.
    4. Owyong, David & Wong, Wing-Keung & Horowitz, Ira, 2015. "Cointegration and causality among the onshore and offshore markets for China's currency," Journal of Asian Economics, Elsevier, vol. 41(C), pages 20-38.
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    6. Chevallier, Julien & Sévi, Benoît, 2012. "On the volatility–volume relationship in energy futures markets using intraday data," Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
    7. Ennadifi Imane & Bisharat Hussain Chang & Tarek Abbas Elsherazy & Wing-Keung Wong & Mohammed Ahmar Uddin, 2023. "The External Exchange Rate Volatility Influence on The Trade Flows: Evidence from Nonlinear ARDL Model," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(2), pages 75-98, June.
    8. 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.
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    13. Ganesh R & Naresh G & Thiyagarajan S, 2020. "Manifesting Overconfidence Bias and Disposition Effect in the Stock Market," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(3), pages 257-284, December.
    14. 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.
    15. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
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    18. Julien Chevallier & Benoît Sévi, 2011. "On the volatility-volume relationship in energy futures markets using intraday data," Working Papers hal-04140997, HAL.
    19. Chu, Amanda M.Y. & Lv, Zhihui & Wagner, Niklas F. & Wong, Wing-Keung, 2020. "Linear and nonlinear growth determinants: The case of Mongolia and its connection to China," Emerging Markets Review, Elsevier, vol. 43(C).
    20. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    21. 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.
    22. Min Liu & Wei‐Chong Choo & Chi‐Chuan Lee & Chien‐Chiang Lee, 2023. "Trading volume and realized volatility forecasting: Evidence from the China stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 76-100, January.
    23. Marius Cristian Miloș, 2021. "Impact of MiFID II on the Market Volatility—Analysis on Some Developed and Emerging European Stock Markets," Laws, MDPI, vol. 10(3), pages 1-11, June.
    24. Sibel ?EL?K, 2013. "New Evidence on the Relation between Trading Volume and Volatility," Business and Economic Research, Macrothink Institute, vol. 3(1), pages 176-186, June.
    25. Bai, Zhidong & Li, Heng & Wong, Wing-Keung & Zhang, Bingzhi, 2011. "Multivariate causality tests with simulation and application," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1063-1071, August.

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