IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v56y2021i6p2136-2169_9.html
   My bibliography  Save this article

Does Industry Timing Ability of Hedge Funds Predict Their Future Performance, Survival, and Fund Flows?

Author

Listed:
  • Bali, Turan G.
  • Brown, Stephen J.
  • Caglayan, Mustafa O.
  • Celiker, Umut

Abstract

This paper investigates hedge funds’ ability to time industry-specific returns and shows that funds’ timing ability in the manufacturing industry improves their future performance, probability of survival, and ability to attract more capital. The results indicate that the best industry-timing hedge funds in the manufacturing sector have the highest return exposure to earnings surprises. This, together with persistently sticky earnings surprises, transparent information environment in regards to earnings releases, and large post-earnings-announcement drift in the manufacturing industry, explain to a great extent why best-timing hedge funds can generate significantly larger future returns compared to worst-timing hedge funds.

Suggested Citation

  • Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa O. & Celiker, Umut, 2021. "Does Industry Timing Ability of Hedge Funds Predict Their Future Performance, Survival, and Fund Flows?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(6), pages 2136-2169, September.
    • Handle: RePEc:cup:jfinqa:v:56:y:2021:i:6:p:2136-2169_9
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109020000794/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Magni, Carlo Alberto & Marchioni, Andrea & Baschieri, Davide, 2023. "The Attribution Matrix and the joint use of Finite Change Sensitivity Index and Residual Income for value-based performance measurement," European Journal of Operational Research, Elsevier, vol. 306(2), pages 872-892.

    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:cup:jfinqa:v:56:y:2021:i:6:p:2136-2169_9. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jfq .

    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.