[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v9y1997i2p203-17.html
   My bibliography  Save this article

Empirical Analyses of Three Explanations for the Positive Autocorrelation of Short-Horizon Stock Index Returns

Author

Listed:
  • Ogden, Joseph P
Abstract
This paper provides empirical analyses of three explanations for the observed positive autocorrelation of short-horizon stock index returns, using NYSE/AMEX and NASDAQ data. Results indicate that index autocorrelation cannot be substantially explained by either autocorrelated, time-varying expected returns, or nonsynchronous trading. The third explanation for index autocorrelation, the nonsynchronous information transfer hypothesis, states that stocks incorporate market-wide information on a nonsynchronous basis due to information and transaction costs. Evidence from analyses of mean returns on various portfolios following large returns on the S&P 500 futures contract, as well as regressions of portfolio returns on current and lagged futures returns, support this explanation. Small (large) firms collectively require approximately 7 (1-2) weeks to fully incorporate new market information on average, and this delayed impoundment accounts for the bulk of the observed autocorrelation. Copyright 1997 by Kluwer Academic Publishers

Suggested Citation

  • Ogden, Joseph P, 1997. "Empirical Analyses of Three Explanations for the Positive Autocorrelation of Short-Horizon Stock Index Returns," Review of Quantitative Finance and Accounting, Springer, vol. 9(2), pages 203-217, September.
  • Handle: RePEc:kap:rqfnac:v:9:y:1997:i:2:p:203-17
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0924-865X/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. McKenzie, Michael D. & Faff, Robert W., 2005. "Modeling conditional return autocorrelation," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 23-42.
    2. Safvenblad, Patrik, 2000. "Trading volume and autocorrelation: Empirical evidence from the Stockholm Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1275-1287, August.
    3. Christian Pierdzioch & Andrea Schertler, 2007. "Sources of Predictability of European Stock Markets for High-technology Firms," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 1-27.
    4. Chau, Frankie & Deesomsak, Rataporn, 2015. "Business cycle variation in positive feedback trading: Evidence from the G-7 economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 147-159.
    5. Bohl, Martin T. & Klein, Arne C. & Siklos, Pierre L., 2013. "Are short sellers positive feedback traders? Evidence from the global financial crisis," Journal of Financial Stability, Elsevier, vol. 9(3), pages 337-346.
    6. Abul Shamsuddin & Jae H. Kim, 2010. "Short‐Horizon Return Predictability in International Equity Markets," The Financial Review, Eastern Finance Association, vol. 45(2), pages 469-484, May.
    7. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 2002. "Partial Adjustment or Stale Prices? Implications from Stock Index and Futures Return Autocorrelations," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 655-689, March.
    8. Gelman, Sergey & Burhop, Carsten, 2008. "Taxation, regulation and the information efficiency of the Berlin stock exchange, 1892–1913," European Review of Economic History, Cambridge University Press, vol. 12(1), pages 39-66, April.
    9. McKenzie, Michael D. & Kim, Suk-Joong, 2007. "Evidence of an asymmetry in the relationship between volatility and autocorrelation," International Review of Financial Analysis, Elsevier, vol. 16(1), pages 22-40.

    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:kap:rqfnac:v:9:y:1997:i:2:p:203-17. 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://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.