IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v20y1985i04p517-523_01.html
   My bibliography  Save this article

Portfolio Serial Correlation and Nonsynchronous Trading

Author

Listed:
  • Perry, Philip R.

Abstract

Common stock portfolios of large, heavily traded firms exhibit daily first-order serial correlation in excess of what would be expected, given the individual security coefficients. Further, this correlation rises as the number of securities in the portfolio increases. The direct implication of this finding is that nonsynchronous trading is not the only cause of correlation in daily market indices. Related implications are also discussed.

Suggested Citation

  • Perry, Philip R., 1985. "Portfolio Serial Correlation and Nonsynchronous Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(4), pages 517-523, December.
    • Handle: RePEc:cup:jfinqa:v:20:y:1985:i:04:p:517-523_01
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109000011856/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Joanna Olbrys, 2013. "Price and Volatility Spillovers in the Case of Stock Markets Located in Different Time Zones," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S2), pages 145-157, March.
    2. Chelley-Steeley, Patricia L. & Steeley, James M., 2014. "Portfolio size, non-trading frequency and portfolio return autocorrelation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 56-77.
    3. Hurvich, Cliiford & Wang, Yi, 2006. "A Pure-Jump Transaction-Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects," MPRA Paper 1413, University Library of Munich, Germany.
    4. Andrey Kudryavtsev, 2014. "When Do Opening Stock Returns Tend to be Higher?," International Economic Journal, Taylor & Francis Journals, vol. 28(3), pages 445-458, September.
    5. Olbryś Joanna, 2012. "Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds," Folia Oeconomica Stetinensia, Sciendo, vol. 10(2), pages 60-80, January.
    6. Steve Beveridege & Cyril Oickle, 1997. "Long memory in the Canadian stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 667-672.
    7. Josep Garcia Blandón, 2001. "New findings regarding return autocorrelation anomalies and the importance of non-trading periods," Economics Working Papers 585, Department of Economics and Business, Universitat Pompeu Fabra.
    8. KUDRYAVTSEV Andrey, 2012. "Early To Rise: When Opening Stock Returns Are Higher Than Daily Returns?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 7(3), pages 58-73, December.
    9. Andrey KUDRYAVTSEV, 2013. "Mechanism Of Autocorrelations Of Individual Stocks' Opening Returns," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 12, pages 37-56, June.
    10. Yu, Chih-Hsien & Wu, Chunchi, 2001. "Economic sources of asymmetric cross-correlation among stock returns," International Review of Economics & Finance, Elsevier, vol. 10(1), pages 19-40.
    11. Lang, Larry H. P. & Lee, Yi Tsung, 1999. "Performance of various transaction frequencies under call markets: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 23-39, February.
    12. Brooks, Chris & Hinich, Melvin J., 1999. "Cross-correlations and cross-bicorrelations in Sterling exchange rates," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 385-404, October.
    13. Joanna Olbryś & Elżbieta Majewska, 2014. "Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(1), pages 51-70.
    14. Andrey Kudryavtsev, 2013. "Think About Tomorrow Morning: Opening Stock Returns May Show Reversals," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 16(50), pages 51-64, December.
    15. Roberto Ortiz & Mauricio Contreras & Marcelo Villena, 2015. "On the Efficient Market Hypothesis of Stock Market Indexes: The Role of Non-synchronous Trading and Portfolio Effects," Papers 1510.03926, arXiv.org.

    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:cup:jfinqa:v:20:y:1985:i:04:p:517-523_01. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jfq .

    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.