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The dynamic relations among return volatility, trading imbalance, and trading volume in futures markets

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  • Chen, An-Sing
  • Fung, Hung-Gay
  • Kao, Erin H.C.

Abstract

Trading imbalances reflect the quality of market information and may contain more information than the number of trades or trading volume. In order to better understand how trading imbalances play a role different from traditional variables (i.e., number of trades and trading volume) in explaining volatility, we use intraday data to examine the dynamic relations among return volatility, trading imbalances, and traditional variables for E-mini S&P 500 futures and Japanese Yen futures contracts, respectively. The Granger-causality tests indicate strong feedback effects between volatility and trading variables, confirming the information-based and hedging-based trading. We also compare the results of the traditional volumes and trading imbalances through variance decomposition and impulse responses analysis. It is shown that the sequential arrival of private information through trading imbalance is more important in explaining return volatility than the traditional variables, which are a proxy for the public information.

Suggested Citation

  • Chen, An-Sing & Fung, Hung-Gay & Kao, Erin H.C., 2008. "The dynamic relations among return volatility, trading imbalance, and trading volume in futures markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 429-436.
    • Handle: RePEc:eee:matcom:v:79:y:2008:i:3:p:429-436
    DOI: 10.1016/j.matcom.2008.01.045
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    References listed on IDEAS

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    1. Eleanor Xu, Xiaoqing & Chen, Peter & Wu, Chunchi, 2006. "Time and dynamic volume-volatility relation," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1535-1558, May.
    2. Chan, Kalok & Fong, Wai-Ming, 2000. "Trade size, order imbalance, and the volatility-volume relation," Journal of Financial Economics, Elsevier, vol. 57(2), pages 247-273, August.
    3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    4. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    5. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    6. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    7. Wu, Chunchi & Xu, Xiaoqing Eleanor, 2000. "Return Volatility, Trading Imbalance and the Information Content of Volume," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 131-153, March.
    8. 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.
    9. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    10. Fung, Hung-Gay & Patterson, Gary A., 1999. "The dynamic relationship of volatility, volume, and market depth in currency futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(1), pages 33-59, January.
    11. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
    12. Fung, Hung-Gay & Patterson, Gary A., 1999. "Volatility linkage among currency futures markets during US trading and non-trading periods," Journal of Multinational Financial Management, Elsevier, vol. 9(2), pages 129-153, March.
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    Cited by:

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    4. Walid M.A. Ahmed, 2016. "Cross-border equity flows and market volatility: the case of Qatar Exchange," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 11(3), pages 395-418, July.

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