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Is the Extension of Trading Hours Always Beneficial? An Artificial Agent-Based Analysis

Author

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  • Kotaro Miwa

    (Tokio Marine Asset Management Co., Ltd)

  • Kazuhiro Ueda

    (The University of Tokyo)

Abstract

The extension of trading hours to provide more trading opportunities and improve price efficiency has increasingly been discussed. However, currently, stock market trading activity during the extended-hours session is quite limited. Thus, we should examine whether the extension of trading hours is effective in creating more trading opportunities and increasing price efficiency even if there are only a few market participants during the extended session. For this study, we build an agent-based market model and analyze the effect of extending trading hours. We find that although the extension of trading hours could increase daily trading volume, price formation and trading activity could be distorted if the number of market participants during the extended-hours session is limited. Specifically, the extension could result in more concentrated trading at the open of the regular trading session, greater divergence between market prices and the fundamental value of assets, as well as higher return volatility (especially at the open).

Suggested Citation

  • 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.
    • Handle: RePEc:kap:compec:v:50:y:2017:i:4:d:10.1007_s10614-016-9613-0
    DOI: 10.1007/s10614-016-9613-0
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    1. A. Abhyankar & D. Ghosh & E. Levin & R.J. Limmack, 1997. "Bid‐ask Spreads, Trading Volume and Volatility: Intra‐day Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 343-362, April.
    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. repec:bla:jfinan:v:59:y:2004:i:2:p:681-710 is not listed on IDEAS
    4. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    5. Hamao, Yasushi & Hasbrouck, Joel, 1995. "Securities Trading in the Absence of Dealers: Trades and Quotes on the Tokyo Stock Exchange," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 849-878.
    6. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    7. 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.
    8. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    9. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    10. Hommes, Cars & Kiseleva, Tatiana & Kuznetsov, Yuri & Verbic, Miroslav, 2012. "Is More Memory In Evolutionary Selection (De)Stabilizing?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 335-357, June.
    11. 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.
    12. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    13. 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.
    14. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    15. 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.
    16. Joel F. Houston & Michael D. Ryngaert, 1992. "The Links Between Trading Time And Market Volatility," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 15(2), pages 91-100, June.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Michael J. Barclay, 2003. "Price Discovery and Trading After Hours," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1041-1073.
    23. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Michael Frömmel & Eyup Kadioglu, 2023. "Impact of trading hours extensions on foreign exchange volatility: intraday evidence from the Moscow exchange," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    2. Kotaro Miwa, 2018. "Effective extension of trading hours," Evolutionary and Institutional Economics Review, Springer, vol. 15(1), pages 139-166, June.
    3. Miwa, Kotaro, 2019. "Trading hours extension and intraday price behavior," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 572-585.

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