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Effective extension of trading hours

Author

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  • Kotaro Miwa

    (Tokio Marine Asset Management)

Abstract

To uncover the complex feature of the effect of extending trading hours, I analyze what kind of the extension is effective on price efficiency and price stability, by utilizing an agent-based market model. Specifically, I examine whether the partial extension of trading hours—namely implementing the pre-market session and the after-hours session—and what duration of the session is effective. The simulation result reveals that the implementation of both sessions could have a negative impact on price efficiency and stability if investors’ participation during the session is limited; it could result in more concentrated trading in the opening session, wider divergence between market prices and the fundamental value, and lower price stability. In addition, longer sessions are less beneficial (or more harmful). My result also shows that there are very few benefits to trade during the extended-hours sessions. Thus, my findings suggest that the extended-hours trading has a structural weakness which causes illiquidity during the session and lowers price efficiency and price stability during the regular-hour session. However, I find that the implementation of the pre-market session is far more beneficial than that of the after-hours session; exceptionally, the implementation of the short-term pre-market session could induce higher price efficiency and higher price stability regardless of the number of market participants during the session.

Suggested Citation

  • Kotaro Miwa, 2018. "Effective extension of trading hours," Evolutionary and Institutional Economics Review, Springer, vol. 15(1), pages 139-166, June.
    • Handle: RePEc:spr:eaiere:v:15:y:2018:i:1:d:10.1007_s40844-018-0092-y
    DOI: 10.1007/s40844-018-0092-y
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    References listed on IDEAS

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    1. 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.
    2. repec:bla:jfinan:v:59:y:2004:i:2:p:681-710 is not listed on IDEAS
    3. Kotaro Miwa & Kazuhiro Ueda, 2017. "Is the Extension of Trading Hours Always Beneficial? An Artificial Agent-Based Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 595-627, December.
    4. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    5. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    6. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    7. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    8. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    9. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    10. 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.
    11. 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.
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    Cited by:

    1. Takanobu Mizuta & Sadayuki Horie, 2019. "Mechanism by which active funds make market efficient investigated with agent-based model," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 43-63, June.

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    More about this item

    Keywords

    Extended-hours trading; Agent-based market model; Price efficiency; Price stability;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G19 - Financial Economics - - General Financial Markets - - - Other

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