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Strategic Trading with Market Closures

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  • Alex Boulatov
  • Dmitry Livdan

    ()
    (Texas A&M University public)

Abstract

This paper analyzes the equilibrium trading strategies of informed traders in the presence of market closures defined as periodic predictable stops of trading. We construct a dynamic auction model based on rational strategic behavior with asymmetric information across the agents. Empirical evidence indicates that market closures have important impact on the information structure of financial markets, in particular the private information flow. In our model, the insiders repeatedly increase their informational advantage over other agents by receiving private signals about fundamentals when the market is closed. In a continuous-time setting, we solve a dynamic programming problem and derive closed-form solutions for optimal intertemporal strategies of both insiders and the market maker. The key feature of insiders' optimal strategy is that they act strategically by anticipating future market closures. Because of this, even though market closures are periodic, the intertemporal pattern of optimal trading strategies is \textit{not} periodic. This aperiodicity of trading is quite important since while it is a definitive feature of the data, it has been missing from the existing theoretical literature on market closures. In agreement with broad empirical evidence, we obtain a U-shaped pattern of trading volume during the periods when the market is open, superimposed on a U-shaped pattern during the lifetime of the economy, before all information about the asset is revealed

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Bibliographic Info

Paper provided by Society for Economic Dynamics in its series 2006 Meeting Papers with number 44.

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Date of creation: 03 Dec 2006
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Handle: RePEc:red:sed006:44

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Keywords: strategic trading; imperfect competition; assymetric information;

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  1. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, 02.
  2. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
  3. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1996. "Is There Private Information in the FX Market? The Tokyo Experiment," Working Papers _005, University of California at Berkeley, Haas School of Business.
  4. 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.
  5. Admati, Anat R & Pfleiderer, Paul, 1989. "Divide and Conquer: A Theory of Intraday and Day-of-the-Week Mean Effects," Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 189-223.
  6. Slezak, Steve L, 1994. " A Theory of the Dynamics of Security Returns around Market Closures," Journal of Finance, American Finance Association, vol. 49(4), pages 1163-1211, September.
  7. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
  8. Chan, K. C. & Fong, Wai-Ming & Kho, Bong-Chan & Stulz, ReneM., 1996. "Information, trading and stock returns: Lessons from dually-listed securities," Journal of Banking & Finance, Elsevier, vol. 20(7), pages 1161-1187, August.
  9. Kerry Back & C. Henry Cao & Gregory A. Willard, 2000. "Imperfect Competition among Informed Traders," Journal of Finance, American Finance Association, vol. 55(5), pages 2117-2155, October.
  10. 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.
  11. 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.
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