IDEAS home Printed from https://ideas.repec.org/p/bui/rosgfb/08.html
   My bibliography  Save this paper

To Predict the Equity Market, Consult Economic Theory

Author

Listed:
  • Davide Pettenuzzo

    (International Business School, Brandeis University)

Abstract

Despite more than half a century of research on forecasting stock market returns, most predictive models perform quite poorly when they are put to the test of actually predicting equity returns. In fact, many authors, including Bossaerts and Hillion (1999), Brennan and Xia (2005), and Welch and Goyal (2008) suggest that equity returns cannot be predicted at all. This brief proposes a simple yet very effective solution to improve the quality of stock return predictions by taking economic theory into account.

Suggested Citation

  • Davide Pettenuzzo, 2013. "To Predict the Equity Market, Consult Economic Theory," Rosenberg Global Financial Briefs 8, Brandeis University, Rosenberg Institute of Global Finance, International Businesss School, revised 2014.
  • Handle: RePEc:bui:rosgfb:08
    as

    Download full text from publisher

    File URL: http://www.brandeis.edu/global/about/centers/rosenberg/repec/wpapers/Global_Finance_Brief_Pettenuzzo.pdf
    File Function: First version, 2013
    Download Restriction: no

    References listed on IDEAS

    as
    1. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    2. Brennan, Michael J. & Xia, Yihong, 2005. "tay's as good as cay," Finance Research Letters, Elsevier, vol. 2(1), pages 1-14, March.
    3. Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 405-428.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Economic constraints; Sharpe ratio; Equity premium predictions; Bayesian analysis;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bui:rosgfb:08. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Barbara Casidy). General contact details of provider: http://edirc.repec.org/data/igbraus.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.