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Stock prices and the flow of information in the Athens Stock Exchange

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  • Kate Phylaktis
  • Manolis G Kavussanos
  • Gikas Manalis

Abstract

The paper investigates the dynamics of price changes and information flow to the market in the Athens Stock Exchange in Greece using daily data over the period 1988 to 1993. A generalised autoregressive conditional heteroskedastic (GARCH) model in stock returns is shown to reflect time dependence in the process generating information flow to the market. Using daily trading volume or value as proxies for information flow, we find them to be significant in explaining the variance of daily returns and to reduce GARCH effects substantially. This has implications for the informational efficiency of the market.

Suggested Citation

  • Kate Phylaktis & Manolis G Kavussanos & Gikas Manalis, 1996. "Stock prices and the flow of information in the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 2(1), pages 113-126, March.
    • Handle: RePEc:bla:eufman:v:2:y:1996:i:1:p:113-126
    DOI: 10.1111/j.1468-036X.1996.tb00031.x
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    References listed on IDEAS

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    1. 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.
    2. Sanford J. Grossman & Merton H. Miller, 1988. "Liquidity and Market Structure," NBER Working Papers 2641, National Bureau of Economic Research, Inc.
    3. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    4. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    5. repec:bla:jfinan:v:43:y:1988:i:3:p:617-37 is not listed on IDEAS
    6. Grammatikos, Theoharry & Saunders, Anthony, 1986. "Futures Price Variability: A Test of Maturity and Volume Effects," The Journal of Business, University of Chicago Press, vol. 59(2), pages 319-330, April.
    7. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    8. 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.
    9. Baillie, Richard T. & Bollerslev, Tim, 1990. "A multivariate generalized ARCH approach to modeling risk premia in forward foreign exchange rate markets," Journal of International Money and Finance, Elsevier, vol. 9(3), pages 309-324, September.
    10. 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.
    11. Baillie, Richard T & Bollerslev, Tim, 2002. "The Message in Daily Exchange Rates: A Conditional-Variance Tale," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 60-68, January.
    12. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    13. 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 542-547, August.
    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. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
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    Cited by:

    1. Blasco, Natividad & Corredor, Pilar & Del Rio, Cristina & Santamaria, Rafael, 2005. "Bad news and Dow Jones make the Spanish stocks go round," European Journal of Operational Research, Elsevier, vol. 163(1), pages 253-275, May.
    2. Kate Phylaktis & Antonis Aristidou, 2013. "Margin Changes and Futures Trading Activity: a New Approach," European Financial Management, European Financial Management Association, vol. 19(1), pages 45-71, January.
    3. Fenghua, Wen & Xiaoguang, Yang, 2009. "Empirical study on relationship between persistence-free trading volume and stock return volatility," Global Finance Journal, Elsevier, vol. 20(2), pages 119-127.
    4. Saswat Patra & Malay Bhattacharyya, 2021. "Does volume really matter? A risk management perspective using cross‐country evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 118-135, January.
    5. Ali M. Kutan & Tansu Aksoy, 2004. "Public Information Arrival and Emerging Markets Returns and Volatility," Multinational Finance Journal, Multinational Finance Journal, vol. 8(3-4), pages 227-245, september.

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