IDEAS home Printed from https://ideas.repec.org/a/spr/finsto/v3y1999i1p1-13.html
   My bibliography  Save this article

Stock market prices and long-range dependence

Author

Listed:
  • Murad S. Taqqu

    (Boston University, Department of Mathematics, Boston, MA 02215, USA Manuscript)

  • Vadim Teverovsky

    (Boston University, Department of Mathematics, Boston, MA 02215, USA Manuscript)

  • Walter Willinger

    (AT&T Labs-Research, 180 Park Avenue, C284, Florham Park, NJ 07932, USA)

Abstract

Using the CRSP (Center for Research in Security Prices) daily stock return data, we revisit the question of whether or not actual stock market prices exhibit long-range dependence. Our study is based on an empirical investigation reported in Teverovsky, Taqqu and Willinger [33] of the modified rescaled adjusted range or R/S statistic that was proposed by Lo [17] as a test for long-range dependence with good robustness properties under "extra" short-range dependence. Our main conclusion is that because the modified R/S statistic shows a strong preference for accepting the null hypothesis of no long-range dependence, irrespective of whether long-range dependence is present in the data or not, Lo's acceptance of the hypothesis for the CRSP data (i.e., no long-range dependence in stock market prices) is less conclusive than is usually regarded in the econometrics literature. In fact, upon further analysis of the data, we find empirical evidence of long-range dependence in stock price returns, but because the corresponding degree of long-range dependence (measured via the Hurst parameter H) is typically very low (i.e., H-values around 0.60), the evidence is not absolutely conclusive.

Suggested Citation

  • Murad S. Taqqu & Vadim Teverovsky & Walter Willinger, 1999. "Stock market prices and long-range dependence," Finance and Stochastics, Springer, vol. 3(1), pages 1-13.
    • Handle: RePEc:spr:finsto:v:3:y:1999:i:1:p:1-13
    Note: received: May 1997; final version received: September 1997
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00780/papers/9003001/90030001.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    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. Stoyan V. Stoyanov & Yong Shin Kim & Svetlozar T. Rachev & Frank J. Fabozzi, 2017. "Option pricing for Informed Traders," Papers 1711.09445, arXiv.org.
    2. Raul Matsushita & Andre Santos & Iram Gleria & Annibal Figueiredo & Sergio Da Silva, 2005. "Are Pound and Euro the Same Currency?," International Finance 0505002, University Library of Munich, Germany.

    More about this item

    Keywords

    Long-range dependence; fractional Gaussian noise; fractional ARIMA; long memory;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:spr:finsto:v:3:y:1999:i:1:p:1-13. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.