IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v20y1985i04p451-459_01.html
   My bibliography  Save this article

Market Timing and Risk Reduction

Author

Listed:
  • Pfeifer, Phillip E.

Abstract

This paper addresses both how best to incorporate forecasts of future excess market returns into a market-timing strategy and what additional return to expect as a consequence. In contrast to the work of Jensen [8] and Grant ([4], [5], and [6]), the results specifically consider and measure the attractiveness to a risk-averse investor of the positively skewed distribution of portfolio returns expected from a market-timed portfolio. The usual mean and variance characterization of a risky portfolio is not sufficient in the case of a markettimed portfolio, and a simple utility model is employed to measure the incremental value of a market-timing strategy. The results are given as a function of the relative volatility of the market, the quality of available forecasts, and the risk attitude of the investor.

Suggested Citation

  • Pfeifer, Phillip E., 1985. "Market Timing and Risk Reduction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(4), pages 451-459, December.
    • Handle: RePEc:cup:jfinqa:v:20:y:1985:i:04:p:451-459_01
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109000011819/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. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
    2. Damien Kunjal & Faeezah Peerbhai & Paul-Francois Muzindutsi, 2022. "Political, economic, and financial country risks and the volatility of the South African Exchange Traded Fund market: A GARCH-MIDAS approach," Risk Management, Palgrave Macmillan, vol. 24(3), pages 236-258, September.
    3. I. Marta Miranda García & María‐Jesús Segovia‐Vargas & Usue Mori & José A. Lozano, 2023. "Early prediction of Ibex 35 movements," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1150-1166, August.
    4. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
    5. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.

    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:20:y:1985:i:04:p:451-459_01. 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.