IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v8y1997i1p51-68.html
   My bibliography  Save this article

Risk Aversion, Uncertain Information, and Market Efficiency

Author

Listed:
  • Corrado, Charles J
  • Jordan, Bradford D

Abstract

We reexamine and extend tests of the uncertain information hypothesis (UIH) proposed by Brown, Harlow, and Tinic (1988, 1993). We find that their empirical results are sensitive to the sampling procedure employed and that their particular methodology does not sufficiently distinguish between event and nonevent periods. When the sampling procedure is modified to identify only relatively large, isolated events, the test results generally do not support the UIH. Instead, significant price shocks are consistently followed by short-lived price reversals. We observe this behavior following positive and negative events regardless of whether the event is classified as risk increasing or risk decreasing. Copyright 1997 by Kluwer Academic Publishers

Suggested Citation

  • Corrado, Charles J & Jordan, Bradford D, 1997. "Risk Aversion, Uncertain Information, and Market Efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 8(1), pages 51-68, January.
  • Handle: RePEc:kap:rqfnac:v:8:y:1997:i:1:p:51-68
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0924-865X/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Piccoli, Pedro & Chaudhury, Mo & Souza, Alceu, 2017. "How do stocks react to extreme market events? Evidence from Brazil," Research in International Business and Finance, Elsevier, vol. 42(C), pages 275-284.
    2. Klaudia Radoczy & Akos Toth-Pajor, 2021. "Investors' Reactions to Extreme Events in the Hungarian Stock Market," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 20(3), pages 5-30.
    3. Xu, Jiwei & Deng, Zhenghong & Song, Qun & Chi, Qian & Wu, Tao & Huang, Yijie & Liu, Dan & Gao, Mingyu, 2020. "Multi-UAV counter-game model based on uncertain information," Applied Mathematics and Computation, Elsevier, vol. 366(C).
    4. Todorova, Neda, 2017. "The intraday directional predictability of large Australian stocks: A cross-quantilogram analysis," Economic Modelling, Elsevier, vol. 64(C), pages 221-230.
    5. Shuxing Yin & Khelifa Mazouz & Abdelhafid Benamraoui & Brahim Saadouni, 2018. "Stock price reaction to profit warnings: the role of time-varying betas," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 67-93, January.
    6. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    7. 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.
    8. Sturm, Philipp, 2013. "Operational and reputational risk in the European banking industry: The market reaction to operational risk events," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 191-206.

    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:kap:rqfnac:v:8:y:1997:i:1:p:51-68. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.