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Trading Activity, Quoted Liquidity, and Stock Volatility

Author

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  • Li Jiang

    (Hong Kong Baptist University, Hong Kong)

  • Lawrence Kryzanowski

    (Concordia University, Canada)

Abstract

In this article, we examine dynamic relationships between volatility and various microstructure measures of trade activity and quoted liquidity for each component stock in the Toronto Stock Exchange 35 Index and for the Toronto 35 Index Participation Shares. When volatility is conditioned on number of trades and quoted liquidity, trading volume provides no incremental explanatory power. Thus, the number of trades appears to be a better proxy for Information flow. Furthermore, investigation into partitioned volume suggests that the number of trades is more effective than the unexpected volume in explaining volatility. Measures of quoted liquidity also play a significant role in explaining intra day volatility. Bid-ask spreads and quote depth are positively and negatively related to volatility, respectively. Consistent with the lack of information signal, no trade outcomes are negatively related to volatility.

Suggested Citation

  • Li Jiang & Lawrence Kryzanowski, 1997. "Trading Activity, Quoted Liquidity, and Stock Volatility," Multinational Finance Journal, Multinational Finance Journal, vol. 1(3), pages 199-227, September.
  • Handle: RePEc:mfj:journl:v:1:y:1997:i:3:p:199-227
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    References listed on IDEAS

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    1. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    2. 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 221-229, March.
    3. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    4. Bessembinder, Hendrik & Seguin, Paul J., 1993. "Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 21-39, March.
    5. 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 631-651.
    6. 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(1), pages 109-126, March.
    7. Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    8. 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.
    9. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    10. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    11. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1994. "Trading Volume and Transaction Costs in Specialist Markets," Journal of Finance, American Finance Association, vol. 49(4), pages 1489-1505, September.
    12. Madhavan, Ananth, 1992. "Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    13. Chan, Louis K. C. & Lakonishok, Josef, 1993. "Institutional trades and intraday stock price behavior," Journal of Financial Economics, Elsevier, vol. 33(2), pages 173-199, April.
    14. Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(2), pages 127-141, June.
    15. Kaul, Gautam & Nimalendran, M., 1990. "Price reversals *1: Bid-ask errors or market overreaction?," Journal of Financial Economics, Elsevier, vol. 28(1-2), pages 67-93.
    16. 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.
    17. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    18. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    19. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    20. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
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    2. Kryzanowski, Lawrence & Lazrak, Skander, 2009. "Liquidity minimization and cross-listing choice: Evidence based on Canadian shares cross-listed on U.S. venues," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 550-564, July.
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    More about this item

    Keywords

    volatility; volatility determinants; and market microstructure;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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