IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v49y1994i4p1163-1211.html
   My bibliography  Save this article

A Theory of the Dynamics of Security Returns around Market Closures

Author

Listed:
  • Slezak, Steve L

Abstract

Numerous empirical studies document patterns in the means and variances of security returns measured over periods that are punctuated by market closures. This article develops a multiperiod model in which closures delay the resolution of uncertainty, thereby redistributing risk across time and agents. Since agents are risk averse in the model, this redistribution affects the equilibrium price, altering risk premia, liquidity costs, and the degree of informational asymmetry. As a consequence, closures alter both the means and variances of returns. The article demonstrates that closures can generate a variety of mean and variance effects, including those that mirror the empirical phenomena. Copyright 1994 by American Finance Association.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jfinan:v:49:y:1994:i:4:p:1163-1211
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0022-1082%28199409%2949%3A4%3C1163%3AATOTDO%3E2.0.CO%3B2-Z&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Koopman, S.J.M. & Lai, H.N., 1998. "Modelling bid-ask spreads in competitive dealership markets," Discussion Paper 1998-032, Tilburg University, Center for Economic Research.
    2. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    3. Alex Boulatov & Dmitry Livdan, 2006. "Strategic Trading with Market Closures," 2006 Meeting Papers 44, Society for Economic Dynamics.
    4. Fan, Yu-Ju & Lai, Hung-Neng, 2006. "The intraday effect and the extension of trading hours for Taiwanese securities," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 328-347.
    5. Chiao Yi Chang & Fu Shuen Shie, 2011. "The Relation Between Relative Order Imbalance and Intraday Futures Returns: An Application of the Quantile Regression Model to Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(3), pages 69-87, May.
    6. Linton, O. & Wu, J., 2016. "A coupled component GARCH model for intraday and overnight volatility," Cambridge Working Papers in Economics 1671, Faculty of Economics, University of Cambridge.
    7. Boes, M.J., 2006. "Index options : Pricing, implied densities and returns," Other publications TiSEM e9ed8a9f-2472-430a-b666-9, Tilburg University, School of Economics and Management.
    8. Robert A. Connolly & Christopher T. Stivers, 2000. "Evidence on the Economics of Equity Return Volatility Clustering," Econometric Society World Congress 2000 Contributed Papers 1575, Econometric Society.
    9. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, February.
    10. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1998. "Is There Private Information in the FX Market? The Tokyo Experiment," Journal of Finance, American Finance Association, vol. 53(3), pages 1111-1130, June.
    11. Cajueiro, Daniel O. & Tabak, Benjamin M. & Souza, Nathalia A., 2005. "Periodic market closures and the long-range dependence phenomena in the Brazilian equity market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 512-522.
    12. Rhee, S. Ghon & Wang, Chi-Jeng, 1997. "The bid-ask bounce effect and the spread size effect: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 5(2), pages 231-258, June.
    13. Chiang, Thomas C. & Yu, Hai-Chin & Wu, Ming-Chya, 2009. "Statistical properties, dynamic conditional correlation and scaling analysis: Evidence from Dow Jones and Nasdaq high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1555-1570.
    14. David Abad & Roberto Pascual, 2010. "Switching To A Temporary Call Auction In Times Of High Uncertainty," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 45-75.
    15. Cyree, Ken B. & Griffiths, Mark D. & Winters, Drew B., 2004. "An empirical examination of the intraday volatility in euro-dollar rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 44-57, February.
    16. Liu, Yu-Jane, 1997. "Periodic market closure and order imbalances," Global Finance Journal, Elsevier, vol. 8(1), pages 95-111.
    17. Daphne Yan Du & Qianqiu Liu & S. Ghon Rhee, 2009. "An Analysis of the Magnet Effect under Price Limits-super-," International Review of Finance, International Review of Finance Ltd., vol. 9(1-2), pages 83-110.
    18. Deb, Pragyan & Koo, Bonsoo & Liu, Zijun, 2014. "Competition, premature trading and excess volatility," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 178-193.
    19. Greenwood, Robin, 2005. "Short- and long-term demand curves for stocks: theory and evidence on the dynamics of arbitrage," Journal of Financial Economics, Elsevier, vol. 75(3), pages 607-649, March.
    20. Ozturk, Sait R. & van der Wel, Michel & van Dijk, Dick, 2017. "Intraday price discovery in fragmented markets," Journal of Financial Markets, Elsevier, vol. 32(C), pages 28-48.
    21. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    22. Subrahmanyam, Avanidhar, 1997. "The ex ante effects of trade halting rules on informed trading strategies and market liquidity," Review of Financial Economics, Elsevier, vol. 6(1), pages 1-14.
    23. Chiao Yi Chang & Fu Shuen Shie, 2011. "The Relation Between Relative Order Imbalance and Intraday Futures Returns: An Application of the Quantile Regression Model to Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(3), pages 69-87, May.
    24. Andersen, Torben G. & Bollerslev, Tim & Cai, Jun, 2000. "Intraday and interday volatility in the Japanese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(2), pages 107-130, June.
    25. Subrahmanyam, Avanidhar, 1995. "On rules versus discretion in procedures to halt trade," Journal of Economics and Business, Elsevier, vol. 47(1), pages 1-16, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jfinan:v:49:y:1994:i:4:p:1163-1211. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/afaaaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.