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Realized higher moments and trading activity

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  • Shu-Fang Yuan

    (Nanhua University)

Abstract

This study investigates the informativeness of realized higher moments of stock index returns, namely, realized skewness and kurtosis, in explaining trading activity in the futures market to investigate whether information flows from price risk to trading activity. By analyzing high-frequency data covering a twelve-year period, we discover that futures trading activity can be attributed to high-moment market risks, as observed in the significant explanatory power of realized high moments even after controlling for other risk factors. The results are robust to the use of various adjusted measures of high-moment risk, their subcomponents, various measures of trading activity, and data attributes. This study suggests that realized high moments are a market risk and cannot be combined with volatility risk and other risk measures. Most importantly, this study finds that there exists a flow of market information from price risk to trading activity.

Suggested Citation

  • Shu-Fang Yuan, 2024. "Realized higher moments and trading activity," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 971-1005, April.
  • Handle: RePEc:kap:rqfnac:v:62:y:2024:i:3:d:10.1007_s11156-023-01227-3
    DOI: 10.1007/s11156-023-01227-3
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    1. Robin K. Chou & George H. K. Wang, 2006. "Transaction tax and market quality of the Taiwan stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(12), pages 1195-1216, December.
    2. Harrison Hong & Jeremy C. Stein, 2003. "Differences of Opinion, Short-Sales Constraints, and Market Crashes," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 487-525.
    3. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    4. Zhang, Lan & Mykland, Per A. & Ait-Sahalia, Yacine, 2005. "A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1394-1411, December.
    5. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    6. 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.
    7. Schwert, G William & Seguin, Paul J, 1990. "Heteroskedasticity in Stock Returns," Journal of Finance, American Finance Association, vol. 45(4), pages 1129-1155, September.
    8. Matthew Roope & Ralf Zurbruegg, 2002. "The intra‐day price discovery process between the Singapore Exchange and Taiwan Futures Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(3), pages 219-240, March.
    9. Markus K. Brunnermeier, 2009. "Deciphering the Liquidity and Credit Crunch 2007-2008," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 77-100, Winter.
    10. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    11. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 2000. "Pricing and hedging long-term options," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 277-318.
    12. Pierre Giot & Sébastien Laurent, 2007. "The information content of implied volatility in light of the jump/continuous decomposition of realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(4), pages 337-359, April.
    13. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    14. Andersen, Torben G. & Bollerslev, Tim & Lange, Steve, 1999. "Forecasting financial market volatility: Sample frequency vis-a-vis forecast horizon," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 457-477, December.
    15. James S. Doran & David R. Peterson & Brian C. Tarrant, 2007. "Is there information in the volatility skew?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(10), pages 921-959, October.
    16. Gurdip Bakshi & Nikunj Kapadia & Dilip Madan, 2003. "Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options," The Review of Financial Studies, Society for Financial Studies, vol. 16(1), pages 101-143.
    17. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    18. Friesen, Geoffrey C. & Zhang, Yi & Zorn, Thomas S., 2012. "Heterogeneous Beliefs and Risk-Neutral Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 851-872, August.
    19. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    20. Carlin, Bruce I. & Longstaff, Francis A. & Matoba, Kyle, 2014. "Disagreement and asset prices," Journal of Financial Economics, Elsevier, vol. 114(2), pages 226-238.
    21. Chen, Nai-Fu & Cuny, Charles J & Haugen, Robert A, 1995. "Stock Volatility and the Levels of the Basis and Open Interest in Future Contracts," Journal of Finance, American Finance Association, vol. 50(1), pages 281-300, March.
    22. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    23. Hutson, Elaine & Kearney, Colm & Lynch, Margaret, 2008. "Volume and skewness in international equity markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1255-1268, July.
    24. Hu, Debao & Li, Xin & Xiang, George & Zhou, Qiyao, 2023. "Asset pricing models in the presence of higher moments: Theory and evidence from the U.S. and China stock market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    25. Giot, Pierre & Laurent, Sébastien & Petitjean, Mikael, 2010. "Trading activity, realized volatility and jumps," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 168-175, January.
    26. Shih-Yung Wei & Li-Wei Lin & Surong Yan & Lu-jie Zhu, 2019. "Empirical Analysis on Price-Volume Relation in the Stock Market of China," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 94-103.
    27. Paul Berhanu Girma & Mbodja Mougoué, 2002. "An empirical examination of the relation between futures spreads volatility, volume, and open interest," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(11), pages 1083-1102, November.
    28. Wen‐liang Gideon Hsieh, 2004. "Regulatory changes and information competition: The case of Taiwan index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(4), pages 399-412, April.
    29. Bessembinder, Hendrik & Seguin, Paul J, 1992. "Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-2034, December.
    30. Jianguo Xu, 2007. "Price Convexity and Skewness," Journal of Finance, American Finance Association, vol. 62(5), pages 2521-2552, October.
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    More about this item

    Keywords

    Realized higher moments; Realized skewness; Realized kurtosis; Volatility risk; Trading activity;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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