IDEAS home Printed from https://ideas.repec.org/p/siu/wpaper/12-2004.html
   My bibliography  Save this paper

Robust Tests of Market Efficiency using Statistical Arbitrage

Author

Listed:
  • Melvyn Teo

    (School of Economics and Social Sciences, Singapore Management University)

  • Yiu Kuen Tse

    (School of Economics and Social Sciences, Singapore Management University)

  • Mitch Warachka

    (School of Economics and Social Sciences, Singapore Management University)

Abstract

This paper develops robust tests of market efficiency using statistical arbitrage which circumvent the joint-hypotheses dilemma confounding the traditional literature. Hogan, Jarrow, Teo and Warachka (2004) identify statistical arbitrage opportunities in momentum and value strategies. However, their results are sensitive to the assumption that expected incremental trading profits are constant. We demonstrate that this empirical discrepancy results from a lack of statistical power in their Bonferroni test procedure. To resolve the disparity, we propose a Min-t test statistic for trading strategies with time-varying expected profits. This procedure is then extended to examine autocorrelated and non-normal trading profit innovations. According to the Min-t statistic, conclusions regarding market efficiency are consistent across various trading profit assumptions. Furthermore, a robust methodology to determine a trading strategy’s convergence rate to arbitrage is provided. Overall, our results confirm the appropriateness of statistical arbitrage as a test of market efficiency.

Suggested Citation

  • Melvyn Teo & Yiu Kuen Tse & Mitch Warachka, 2004. "Robust Tests of Market Efficiency using Statistical Arbitrage," Working Papers 12-2004, Singapore Management University, School of Economics.
    • Handle: RePEc:siu:wpaper:12-2004
    as

    Download full text from publisher

    File URL: https://mercury.smu.edu.sg/rsrchpubupload/1896/starb_dist.pdf
    Download Restriction: no
    ---><---

    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:siu:wpaper:12-2004. 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: QL THor (email available below). General contact details of provider: https://edirc.repec.org/data/sesmusg.html .

    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.