IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/1033.html

Predictability of Asset Returns and the Efficient Market Hypothesis

Author

Listed:
  • Pesaran, M.H.

Abstract

This paper is concerned with empirical and theoretical basis of the Efficient Market Hypothesis (EMH). The paper begins with an overview of the statistical properties of asset returns at different frequencies (daily, weekly and monthly), and considers the evidence on return predictability, risk aversion and market efficiency. The paper then focuses on the theoretical foundation of the EMH, and show that market efficiency could co-exit with heterogeneous beliefs and individual irrationality so long as individual errors are cross sectionally weakly dependent in the sense defined by Chudik, Pesaran, and Tosetti (2010). But at times of market euphoria or gloom these individual errors are likely to become cross sectionally strongly dependent and the collective outcome could display significant departures from market efficiency. Market efficiency could be the norm, but it is likely to be punctuated with episodes of bubbles and crashes. The paper also considers if market inefficiencies (assuming that they exist) can be exploited for profit.

Suggested Citation

  • Pesaran, M.H., 2010. "Predictability of Asset Returns and the Efficient Market Hypothesis," Cambridge Working Papers in Economics 1033, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:1033
    as

    Download full text from publisher

    File URL: https://www.econ.cam.ac.uk/sites/default/files/publication-cwpe-pdfs/cwpe1033.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Javier Orlando Pantoja Robayo & Julián Alberto Alemán Muñoz & Diego F. Tellez-Falla, 2025. "Iterative Deep Learning Approach to Active Portfolio Management with Sentiment Factors," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 301-322, July.
    2. Svetlozar Rachev & Stoyan Stoyanov & Stefan Mittnik & Frank J. Fabozzi & Abootaleb Shirvani, 2017. "Behavioral Finance -- Asset Prices Predictability, Equity Premium Puzzle, Volatility Puzzle: The Rational Finance Approach," Papers 1710.03211, arXiv.org, revised Feb 2020.
    3. Vasilios Sogiakas, 2017. "Efficiency of the UK Stock Exchange," Journal of Risk & Control, Risk Market Journals, vol. 4(1), pages 51-69.
    4. Chen, Yu-Fu & Funke, Michael, 2010. "Global Warming And Extreme Events: Rethinking The Timing And Intensity Of Environmental Policy," SIRE Discussion Papers 2010-48, Scottish Institute for Research in Economics (SIRE).
    5. Ata Ozkaya & Omer Altun, 2024. "Domestic and Global Causes for Exchange Rate Volatility: Evidence From Turkey," SAGE Open, , vol. 14(2), pages 21582440241, April.
    6. Abootaleb Shirvani & Svetlozar T. Rachev & Frank J. Fabozzi, 2019. "A Rational Finance Explanation of the Stock Predictability Puzzle," Papers 1911.02194, arXiv.org.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:cam:camdae:1033. 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: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    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.