IDEAS home Printed from
   My bibliography  Save this article

Long Memory of the Indian Stock Market


  • Ashutosh Verma


The weak form of efficient market hypothesis states that the share prices neither have a long memory nor a short memory. Long memory is characterized by non-periodic dependence in a financial time series over a long span of time. This paper examines the long memory of the Indian stock market by examining the daily returns of 60 companies with around 62% of the total market capitalization over a period of five years. The test applied to examine the long memory is Lo’s modified rescaled long range (R/S) test, which is able to derive variance of the time series with a consistent estimate. This test is an improvement over the classical rescaled long range test and is not sensitive to short-term dependence. The results of the study indicate that the returns of only three companies exhibit long-range dependence. The computed test statistics for all other companies were found to be insignificant and showed the absence of long memory, supporting the weak form efficiency of the market.

Suggested Citation

  • Ashutosh Verma, 2008. "Long Memory of the Indian Stock Market," The IUP Journal of Financial Economics, IUP Publications, vol. 0(3), pages 74-83, September.
  • Handle: RePEc:icf:icfjfe:v:06:y:2008:i:3:p:74-83

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item


    Access and download statistics


    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:icf:icfjfe:v:06:y:2008:i:3:p:74-83. 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: (G R K Murty). General contact details of provider: .

    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 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.

    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.