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The intraday behavior of information misreaction across various categories of investors in the Taiwan options market

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  • Chang, Chuang-Chang
  • Hsieh, Pei-Fang
  • Tang, Chih-Wei
  • Wang, Yaw-Huei

Abstract

This study adopts a unique dataset that includes the complete history of transactions in the Taiwan options market to investigate the misreaction patterns for marketwise observations and the transactions of four different categories of investors in the high-frequency framework. Using the results from model-free tests as benchmarks, we find that model-based tests incorrectly indicate the existence of investor misreaction and show the differences of misreaction degree among investor categories. Our findings are robust to alternative observation frequencies and duration definitions.

Suggested Citation

  • Chang, Chuang-Chang & Hsieh, Pei-Fang & Tang, Chih-Wei & Wang, Yaw-Huei, 2013. "The intraday behavior of information misreaction across various categories of investors in the Taiwan options market," Journal of Financial Markets, Elsevier, vol. 16(2), pages 362-385.
    • Handle: RePEc:eee:finmar:v:16:y:2013:i:2:p:362-385
    DOI: 10.1016/j.finmar.2012.09.004
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    References listed on IDEAS

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    1. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    2. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    3. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    4. Jun Pan & Allen M. Poteshman, 2006. "The Information in Option Volume for Future Stock Prices," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 871-908.
    5. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    6. Allen M. Poteshman, 2001. "Underreaction, Overreaction, and Increasing Misreaction to Information in the Options Market," Journal of Finance, American Finance Association, vol. 56(3), pages 851-876, June.
    7. Mahani, Reza S. & Poteshman, Allen M., 2008. "Overreaction to stock market news and misevaluation of stock prices by unsophisticated investors: Evidence from the option market," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 635-655, September.
    8. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
    9. repec:bla:jfinan:v:59:y:2004:i:3:p:1235-1258 is not listed on IDEAS
    10. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    11. repec:bla:jfinan:v:44:y:1989:i:4:p:1011-23 is not listed on IDEAS
    12. George J. Jiang & Yisong S. Tian, 2005. "The Model-Free Implied Volatility and Its Information Content," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1305-1342.
    13. Chang, Chuang-Chang & Hsieh, Pei-Fang & Lai, Hung-Neng, 2009. "Do informed option investors predict stock returns? Evidence from the Taiwan stock exchange," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 757-764, April.
    14. Jiang, George J. & Tian, Yisong S., 2010. "Misreaction or misspecification? A re-examination of volatility anomalies," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2358-2369, October.
    15. repec:bla:jfinan:v:53:y:1998:i:2:p:431-465 is not listed on IDEAS
    16. repec:bla:jfinan:v:53:y:1998:i:2:p:499-547 is not listed on IDEAS
    17. Mayhew, Stewart & Sarin, Atulya & Shastri, Kuldeep, 1995. "The Allocation of Informed Trading across Related Markets: An Analysis of the Impact of Changes in Equity-Option Margin Requirements," Journal of Finance, American Finance Association, vol. 50(5), pages 1635-1653, December.
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    Cited by:

    1. Kelley Bergsma & Andy Fodor & Vijay Singal & Jitendra Tayal, 2020. "Option trading after the opening bell and intraday stock return predictability," Financial Management, Financial Management Association International, vol. 49(3), pages 769-804, September.
    2. Lee, Jaeram & Ryu, Doojin & Yang, Heejin, 2021. "Does vega-neutral options trading contain information?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 294-314.

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    More about this item

    Keywords

    Options; Misreaction; Stochastic volatility; Model-free implied variance; Investors;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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