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Do regulatory policies affect the flow of information in emerging markets?

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  • Farag, Hisham
  • Cressy, Robert

Abstract

In a previous paper we established that volatility is best explained by contemporaneous rather than lagged trading volume in the Egyptian stock exchange (EGX). The main objective of this paper is to investigate the effects of regulatory policies - namely the switch from price limit to circuit breaker - on the dynamic relationship between trading volume and stock returns volatility in the EGX. Using daily returns data for 20 actively traded companies as well as the EGX30 market index, the Generalised Method of Moments (GMM), results show that the volume-volatility relationship is not only endogenous but is also structurally altered by the switch.

Suggested Citation

  • Farag, Hisham & Cressy, Robert, 2011. "Do regulatory policies affect the flow of information in emerging markets?," Research in International Business and Finance, Elsevier, vol. 25(3), pages 238-254, September.
  • Handle: RePEc:eee:riibaf:v:25:y:2011:i:3:p:238-254
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    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Morse, D, 1981. "Price And Trading Volume Reaction Surrounding Earnings Announcements - A Closer Examination," Journal of Accounting Research, Wiley Blackwell, vol. 19(2), pages 374-383.
    3. Greenwald, Bruce C & Stein, Jeremy C, 1991. "Transactional Risk, Market Crashes, and the Role of Circuit Breakers," The Journal of Business, University of Chicago Press, vol. 64(4), pages 443-462, October.
    4. Eric Girard & Rita Biswas, 2007. "Trading Volume and Market Volatility: Developed versus Emerging Stock Markets," The Financial Review, Eastern Finance Association, vol. 42(3), pages 429-459, August.
    5. Darrat, Ali F. & Zhong, Maosen & Cheng, Louis T.W., 2007. "Intraday volume and volatility relations with and without public news," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2711-2729, September.
    6. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    7. 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.
    8. Ainhoa Zarraga, 2003. "GMM-based testing procedures of the mixture of distributions model," Applied Financial Economics, Taylor & Francis Journals, vol. 13(11), pages 841-848.
    9. James Dow & Gary Gorton, "undated". "Self-Generating Trade and Rational Fads: The Response of Price to New Information," Rodney L. White Center for Financial Research Working Papers 03-90, Wharton School Rodney L. White Center for Financial Research.
    10. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    11. Robert T. Daigler & Marilyn K. Wiley, 1999. "The Impact of Trader Type on the Futures Volatility‐Volume Relation," Journal of Finance, American Finance Association, vol. 54(6), pages 2297-2316, December.
    12. 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.
    13. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    14. M. F. Omran & E. McKenzie, 2000. "Heteroscedasticity in stock returns data revisited: volume versus GARCH effects," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 553-560.
    15. Michael Smirlock & Laura Starks, 1985. "A Further Examination Of Stock Price Changes And Transaction Volume," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 8(3), pages 217-226, September.
    16. 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.
    17. 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.
    18. 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.
    19. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    20. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    21. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    22. 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.
    23. Lee, Charles M C & Ready, Mark J & Seguin, Paul J, 1994. "Volume, Volatility, and New York Stock Exchange Trading Halts," Journal of Finance, American Finance Association, vol. 49(1), pages 183-214, March.
    24. Jeff Fleming & Chris Kirby & Barbara Ostdiek, 2006. "Stochastic Volatility, Trading Volume, and the Daily Flow of Information," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1551-1590, May.
    25. Giampiero Gallo & Barbara Pacini, 2000. "The effects of trading activity on market volatility," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 163-175.
    26. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    27. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    28. Foster, F Douglas & Viswanathan, S, 1995. "Can Speculative Trading Explain the Volume-Volatility Relation?," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 379-396, October.
    29. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    30. Kate Phylaktis & Manolis Kavussanos & Gikas Manalis, 1999. "Price Limits and Stock Market Volatility in the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 5(1), pages 69-84, March.
    31. 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.
    32. 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.
    33. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    34. Subrahmanyam, Avanidhar, 1994. "Circuit Breakers and Market Volatility: A Theoretical Perspective," Journal of Finance, American Finance Association, vol. 49(1), pages 237-254, March.
    35. 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.
    36. 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.
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    Cited by:

    1. Seza Danışoğlu & Z. Nuray Güner, 2018. "Do price limits help control stock price volatility?," Annals of Operations Research, Springer, vol. 260(1), pages 129-157, January.

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