IDEAS home Printed from https://ideas.repec.org/p/cdl/econwp/qt2k7414sv.html
   My bibliography  Save this paper

Stock Return Autocorrelation is Not Spurious

Author

Listed:
  • Anderson, Robert M.
  • Eom, Kyong Shik
  • Hahn, Sang Buhm
  • Park, Jong-Ho

Abstract

We decompose stock return autocorrelation into spurious components—the nonsynchronous trading effect (NT) and bid-ask bounce (BAB)—and genuine components—partial price adjustment (PPA) and time-varying risk premia (TVRP),using four key ideas: theoretically signing or bounding the components; computing returns over disjoint subperiods separated by a trade to eliminate NT and greatly reduce BAB; dividing the data period into disjoint subperiods to obtain independent measures of autocorrelation; and computing the portion of the autocorrelation that can be unambiguously attributed to PPA. We analyze daily individual and portfolio return autocorrelations in ten years’ NYSE transaction data and find compelling evidence that the PPA is a major source of the autocorrelation.

Suggested Citation

  • Anderson, Robert M. & Eom, Kyong Shik & Hahn, Sang Buhm & Park, Jong-Ho, 2007. "Stock Return Autocorrelation is Not Spurious," Department of Economics, Working Paper Series qt2k7414sv, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  • Handle: RePEc:cdl:econwp:qt2k7414sv
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/2k7414sv.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. Madhavan, Ananth & Smidt, Seymour, 1993. "An Analysis of Changes in Specialist Inventories and Quotations," Journal of Finance, American Finance Association, vol. 48(5), pages 1595-1628, December.
    3. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    4. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    5. Robert Connolly & Chris Stivers, 2003. "Momentum and Reversals in Equity‐Index Returns During Periods of Abnormal Turnover and Return Dispersion," Journal of Finance, American Finance Association, vol. 58(4), pages 1521-1556, August.
    6. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross‐Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, April.
    7. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
    8. Greg Adams & Grant McQueen & Robert Wood, 2004. "The Effects of Inflation News on High Frequency Stock Returns," The Journal of Business, University of Chicago Press, vol. 77(3), pages 547-574, July.
    9. McQueen, Grant & Pinegar, Michael & Thorley, Steven, 1996. "Delayed Reaction to Good News and the Cross-Autocorrelation of Portfolio Returns," Journal of Finance, American Finance Association, vol. 51(3), pages 889-919, July.
    10. Chan, Kalok, 1993. "Imperfect Information and Cross-Autocorrelation among Stock Prices," Journal of Finance, American Finance Association, vol. 48(4), pages 1211-1230, September.
    11. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    12. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. "Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-118, March.
    13. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    14. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    15. Kim, Sok Tae & Lin, Ji-Chai & Slovin, Myron B., 1997. "Market Structure, Informed Trading, and Analysts' Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 507-524, December.
    16. Kadlec, Gregory B & Patterson, Douglas M, 1999. "A Transactions Data Analysis of Nonsynchronous Trading," The Review of Financial Studies, Society for Financial Studies, vol. 12(3), pages 609-630.
    17. Bessembinder, Hendrik, 1997. "The degree of price resolution and equity trading costs," Journal of Financial Economics, Elsevier, vol. 45(1), pages 9-34, July.
    18. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    19. Boudoukh, Jacob & Richardson, Matthew P & Whitelaw, Robert F, 1994. "A Tale of Three Schools: Insights on Autocorrelations of Short-Horizon Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 539-573.
    20. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    21. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anderson, Robert M. & Eom, Kyong Shik & Hahn, Sang Buhm & Park, Jong-Ho, 2013. "Autocorrelation and partial price adjustment," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 78-93.
    2. 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.
    3. Baltussen, Guido & van Bekkum, Sjoerd & Da, Zhi, 2019. "Indexing and stock market serial dependence around the world," Journal of Financial Economics, Elsevier, vol. 132(1), pages 26-48.
    4. Sias, Richard W. & Starks, Laura T., 1997. "Return autocorrelation and institutional investors," Journal of Financial Economics, Elsevier, vol. 46(1), pages 103-131, October.
    5. Zaremba, Adam & Long, Huaigang & Karathanasopoulos, Andreas, 2019. "Short-term momentum (almost) everywhere," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    6. Yoshiro Tsutsui & Kenjiro Hirayama & Takahiro Tanaka & Nobutaka Uesugi, 2007. "Special Quotes Invoke Autocorrelation in Japanese Stock Prices," Asian Economic Journal, East Asian Economic Association, vol. 21(4), pages 369-386, December.
    7. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    8. DePenya, Francisco J. & Gil-Alana, Luis A., 2007. "Serial correlation in the Spanish Stock Market," Global Finance Journal, Elsevier, vol. 18(1), pages 84-103.
    9. Lin, Mei-Chen & Wu, Chu-Hua & Chiang, Ming-Ti, 2014. "Investor attention and information diffusion from analyst coverage," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 235-246.
    10. Lim, Kian-Ping & Kim, Jae H., 2011. "Trade openness and the informational efficiency of emerging stock markets," Economic Modelling, Elsevier, vol. 28(5), pages 2228-2238, September.
    11. Camilleri, Silvio John & Green, Christopher J., 2014. "Stock market predictability: Non-synchronous trading or inefficient markets? Evidence from the National Stock Exchange of India," MPRA Paper 95302, University Library of Munich, Germany.
    12. 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.
    13. Pan, Ming-Shiun & Liano, Kartono & Huang, Gow-Cheng, 2004. "Industry momentum strategies and autocorrelations in stock returns," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 185-202, March.
    14. Toshiaki Watanabe, 2002. "Margin requirements, positive feedback trading, and stock return autocorrelations: the case of Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 12(6), pages 395-403.
    15. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-040, New York University, Leonard N. Stern School of Business-.
    16. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017.
    17. repec:uts:finphd:34 is not listed on IDEAS
    18. Gębka, Bartosz & Wohar, Mark E., 2013. "The determinants of quantile autocorrelations: Evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 51-61.
    19. 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.
    20. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," NBER Working Papers 7214, National Bureau of Economic Research, Inc.
    21. Kinnunen, Jyri, 2017. "Dynamic cross-autocorrelation in stock returns," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 162-173.

    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:cdl:econwp:qt2k7414sv. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/ibbrkus.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.