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Evaluation Of The Impact Of Day Trading On The Egyptian Stock Market

Author

Listed:
  • Islam Azzam
  • Jasmin Fouad

Abstract

This paper investigates the effect of the introduction of day trading on the Egyptian stock market. We applied a GARCH (1, 1)–GED model on daily returns and volumes of 41 companies listed in the Egyptian Stock market for the period from 2004 to 2008. The results suggest that day trading decreases ex-post return, and ex-post and ex-ante risk. We also find no significant change in the coefficient of variation, which indicates that the return-to-risk relationship remains unchanged. The results of the paper further indicate that the introduction of day trading has no significant effect on the volatility clustering, volatility persistence, arrival of information and the liquidity of the market.

Suggested Citation

  • Islam Azzam & Jasmin Fouad, 2010. "Evaluation Of The Impact Of Day Trading On The Egyptian Stock Market," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 1-21.
  • Handle: RePEc:ibf:ijbfre:v:4:y:2010:i:1:p:1-21
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    1. Valerie R. Bencivenga & Bruce D. Smith, 1991. "Financial Intermediation and Endogenous Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 195-209.
    2. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. "An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
    5. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    6. Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2008. "The quality of price formation at market openings and closings: Evidence from the Nasdaq stock market," CFS Working Paper Series 2008/45, Center for Financial Studies (CFS).
    7. Fornari, Fabio & Mele, Antonio, 1996. "Modeling the changing asymmetry of conditional variances," Economics Letters, Elsevier, vol. 50(2), pages 197-203, February.
    8. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    9. Eugene A. Pilotte & Frederic P. Sterbenz, 2006. "Sharpe and Treynor Ratios on Treasury Bonds," The Journal of Business, University of Chicago Press, vol. 79(1), pages 149-180, January.
    10. Ajit Singh, 1999. "Should Africa promote stock market capitalism?," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(3), pages 343-365.
    11. Enrique Sentana, 1995. "Quadratic ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 639-661.
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. 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.
    14. Charles Komla Adjasi & Charles Amo Yartey, 2007. "Stock Market Development in Sub-Saharan Africa: Critical Issues and Challenges," IMF Working Papers 2007/209, International Monetary Fund.
    15. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.
    16. John B. Guerard & Eli Schwartz, 2007. "International Business Finance," Springer Books, in: Quantitative Corporate Finance, chapter 0, pages 489-511, Springer.
    17. Arago, Vicent & Nieto, Luisa, 2005. "Heteroskedasticity in the returns of the main world stock exchange indices: volume versus GARCH effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 271-284, July.
    18. Choe, Hyuk & Sik Shin, Hung, 1993. "An analysis of interday and intraday return volatility - evidence from the Korea Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 1(2), pages 175-188, May.
    19. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    20. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    21. McInish, Thomas H. & Wood, Robert A., 1990. "An analysis of transactions data for the Toronto Stock Exchange : Return patterns and end-of-the-day effect," Journal of Banking & Finance, Elsevier, vol. 14(2-3), pages 441-458, August.
    22. 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.
    23. 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.
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    More about this item

    Keywords

    GARCH; volatility clustering; day trading;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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