IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i49p5388-5397.html
   My bibliography  Save this article

Idiosyncratic volatility and the cross-section of anomaly returns: is risk your Ally?

Author

Listed:
  • Adam Zaremba
  • Alina Maydybura

Abstract

Due to arbitrage risk asymmetries, the relationship between idiosyncratic risk and expected returns is positive (negative) among overpriced (underpriced) stocks. We offer a new active anomaly-selection strategy that capitalizes on this effect. To this end, we consider 11 equity anomalies in the U.S. market for years 1963–2016. Buying (selling) long (short) legs of the anomaly portfolios with the highest idiosyncratic volatility produces monthly abnormal returns ranging from 0.97% to 1.14% per month, outperforming a naive benchmark that equally weights all the anomalies by 45–70%. The effect cannot be subsumed by any other established anomaly-return predictor, such as momentum or seasonality. The results are robust to many considerations, including different numbers of anomalies in the portfolios, subperiod analysis, as well as estimation of idiosyncratic risk from the alternative models and throughout different periods.

Suggested Citation

  • Adam Zaremba & Alina Maydybura, 2019. "Idiosyncratic volatility and the cross-section of anomaly returns: is risk your Ally?," Applied Economics, Taylor & Francis Journals, vol. 51(49), pages 5388-5397, October.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:49:p:5388-5397
    DOI: 10.1080/00036846.2019.1613505
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2019.1613505
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2019.1613505?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Yusuf Olatunji Oyedeko & Olusola Segun Kolawole & Isah Ibrahim & Olena Zharikova, 2023. "Risk-Return Relationship in the Nigerian Stock Market: Comparative between Fama-French Five-Factor Model and Higher Moment Fama-French Five-Factor Model," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 68-78, March.

    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:taf:applec:v:51:y:2019:i:49:p:5388-5397. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.