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Return predictability following different drivers of large price changes

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  • Patel, Vinay
  • Michayluk, David

Abstract

This study uniquely examines return predictability following different drivers of large price changes. We use several novel features of the Australian information generation environment to overcome identification issues of large price changes inherent in earlier studies. In contrast to prior results, we find that large price changes are permanent when they are driven by public information consistent with the semi-strong efficient markets hypothesis and also when driven by private information. For large price changes which do not correspond with information, we show that investors could profit from the subsequent over-reaction in returns.

Suggested Citation

  • Patel, Vinay & Michayluk, David, 2016. "Return predictability following different drivers of large price changes," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 202-214.
    • Handle: RePEc:eee:finana:v:45:y:2016:i:c:p:202-214
    DOI: 10.1016/j.irfa.2016.03.004
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    Cited by:

    1. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Marc J. M. Bohmann & Vinay Patel, 2022. "Informed options trading prior to FDA announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(7-8), pages 1211-1236, July.
    3. Hadhri, Sinda & Ftiti, Zied, 2017. "Stock return predictability in emerging markets: Does the choice of predictors and models matter across countries?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 39-60.
    4. Júlio Lobão & Maria Eva Jerke, 2020. "Short-term Overreaction in American Depository Receipts," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67(4), pages 423-435, December.
    5. Chun-Teck Lye & Tuan-Hock Ng & Kwee-Pheng Lim & Chin-Yee Gan, 2020. "Investor protection and market reaction to unusual market activity replies," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 16(8), pages 2034-2069, July.
    6. Bohmann, Marc & Michayluk, David & Patel, Vinay & Walsh, Kathleen, 2019. "Liquidity and earnings in event studies: Does data granularity matter?," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 118-131.

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    More about this item

    Keywords

    Return predictability; Large price change; Information; Liquidity;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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