IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v40y2005i02p349-372_00.html
   My bibliography  Save this article

Multifactor Evaluation of Style Rotation

Author

Listed:
  • Wang, Kevin Q.

Abstract

A growing literature documents that various strategies of rotating across equity styles generate significant returns. However, the conventional risk adjustment regression is problematic in evaluating the gains from style rotation. I propose a weight-based multifactor risk adjustment approach as a solution. When interpreted as a performance attribution procedure, this approach extends Sharpe's (1992) classic method by emphasizing factor loading rotation. I use a logit-based timing strategy to show that the conventional procedure produces misleading results and the new method leads to the opposite conclusion.

Suggested Citation

  • Wang, Kevin Q., 2005. "Multifactor Evaluation of Style Rotation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(2), pages 349-372, June.
    • Handle: RePEc:cup:jfinqa:v:40:y:2005:i:02:p:349-372_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109000002349/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. Panagiotis Schizas & Dimitrios D. Thomakos, 2015. "Market timing and trading strategies using asset rotation: non-neutral market positioning for exploiting arbitrage opportunities," Quantitative Finance, Taylor & Francis Journals, vol. 15(2), pages 285-298, February.
    2. I-Cheng Yeh, 2023. "Synergy frontier of multi-factor stock selection model," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 445-480, March.
    3. Chen Su, 2021. "A comprehensive investigation into style momentum strategies in China," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(1), pages 101-144, March.
    4. Andrew Clare & James Seaton & Peter N. Smith & Stephen Thomas, 2014. "When Growth Beats Value: Removing Tail Risk From Global Equity Momentum Strategies," Discussion Papers 14/09, Department of Economics, University of York.
    5. Naqvi, Bushra & Rizvi, S.K.A. & Mirza, Nawazish & Reddy, Krishna, 2018. "Religion based investing and illusion of Islamic Alpha and Beta," Pacific-Basin Finance Journal, Elsevier, vol. 52(C), pages 82-106.

    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:40:y:2005:i:02:p:349-372_00. 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.