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What drives the volume-volatility relationship on Euronext Paris?

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  • Louhichi, Waël
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    Abstract

    The goal of this paper is to shed light on the relationship between volume and volatility. More specifically, it aims to determine which component of trading volume (trade size or number of transactions) drives this relation. Our intraday analysis reveals several results. Firstly, we confirm the strong positive relationship between volume and volatility. Secondly, including volume in the conditional variance of stock returns significantly reduces the persistence of volatility. Thirdly, we show that the well-known positive relationship between volatility and volume is generated by the number of trades. These results are robust, even after controlling for the impact of the intraday patterns. Finally, our findings are available for the CAC40 Index as well as for individual stocks.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Review of Financial Analysis.

    Volume (Year): 20 (2011)
    Issue (Month): 4 (August)
    Pages: 200-206

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    Handle: RePEc:eee:finana:v:20:y:2011:i:4:p:200-206

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    Web page: http://www.elsevier.com/locate/inca/620166

    Related research

    Keywords: Volume Conditional volatility Number of transactions Size of trades Market microstructure Euronext Paris;

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    1. Benjamin M. Blau & Bonnie F. Van Ness & Robert A. Van Ness, 2009. "Intraday Stealth Trading: Which Trades Move Prices During Periods Of High Volume?," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 32(1), pages 1-21.
    2. Jinliang Li & Chunchi Wu, 2006. "Daily Return Volatility, Bid-Ask Spreads, and Information Flow: Analyzing the Information Content of Volume," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2697-2740, September.
    3. 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.
    4. 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.
    5. Foster, F Douglas & Viswanathan, S, 1996. " Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-78, September.
    6. Xu, Xiaoqing Eleanor & Wu, Chunchi, 1999. "The intraday relation between return volatility, transactions, and volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 375-397, November.
    7. Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
    8. 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.
    9. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    10. Chan, Choon Chat & Fong, Wai Mun, 2006. "Realized volatility and transactions," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2063-2085, July.
    11. Cho, Jin-Wan, 2007. "Earnings announcements, private information, and strategic informed trading," Journal of Financial Intermediation, Elsevier, vol. 16(1), pages 117-149, January.
    12. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(01), pages 109-126, March.
    13. 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.
    14. Han N. Ozsoylev & Shino Takayama, 2005. "Price, Trade Size, and Information Revelation in Multi-Period Securities Markets," Economics Series Working Papers 2005-FE-10, University of Oxford, Department of Economics.
    15. Han, Heejoon & Park, Joon Y., 2008. "Time series properties of ARCH processes with persistent covariates," Journal of Econometrics, Elsevier, vol. 146(2), pages 275-292, October.
    16. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August.
    17. Katya Malinova & Andreas Park, 2009. "Trading Volume in Dealer Markets," Working Papers tecipa-357, University of Toronto, Department of Economics.
    18. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-51.
    19. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1997. "One Day in the Life of a Very Common Stock," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 805-35.
    20. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
    21. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
    22. Huang, Roger D. & Masulis, Ronald W., 2003. "Trading activity and stock price volatility: evidence from the London Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 249-269, May.
    23. Pratap Chandra Pati & Prabina Rajib, 2010. "Volatility persistence and trading volume in an emerging futures market: Evidence from NSE Nifty stock index futures," Journal of Risk Finance, Emerald Group Publishing, vol. 11(3), pages 296-309, May.
    24. Pyun, Chong Soo & Lee, Sa Young & Nam, Kiseok, 2000. "Volatility and information flows in emerging equity market: A case of the Korean Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 405-420.
    25. Bohl, Martin T. & Henke, Harald, 2003. "Trading volume and stock market volatility: The Polish case," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 513-525.
    26. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    27. Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March.
    28. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-55, January.
    29. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
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