IDEAS home Printed from https://ideas.repec.org/p/ysm/somwrk/ysm176.html
   My bibliography  Save this paper

Heterogeneity of Trade and Stock Returns. Evidence from Index Fund Investors

Author

Listed:
  • Massimo Massa
  • William Goetzmann

Abstract

We address the issue of how the heterogeneity of trade among investors affects stock returns. We model and test the relationship between dispersion of opinion, heterogeneity of trade and stock returns. The empirical investigation makes use of a two-year panel of more than 91 thousand individual accounts in an S&P 500 index mutual fund. We show that dispersion of opinion, proxied by the heterogeneity of trade among investors, explains part of the returns not accounted for by the fundamentals. We analytically and empirically show that the explanatory power of the dispersion of opinion increases at the very time when standard pricing models based on fundamentals fare worse.

Suggested Citation

  • Massimo Massa & William Goetzmann, 2001. "Heterogeneity of Trade and Stock Returns. Evidence from Index Fund Investors," Yale School of Management Working Papers ysm176, Yale School of Management, revised 01 Nov 2001.
    • Handle: RePEc:ysm:somwrk:ysm176
    as

    Download full text from publisher

    File URL: http://icfpub.som.yale.edu/publications/2516
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:bla:jfinan:v:44:y:1989:i:3:p:557-69 is not listed on IDEAS
    2. Wayne E. Ferson & Campbell R. Harvey, 1999. "Conditioning Variables and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 54(4), pages 1325-1360, August.
    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. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    5. William N. Goetzmann & Massimo Massa, 2003. "Index Funds and Stock Market Growth," The Journal of Business, University of Chicago Press, vol. 76(1), pages 1-28, January.
    6. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    7. Keim, Donald B. & Madhavan, Ananth, 1995. "Anatomy of the trading process Empirical evidence on the behavior of institutional traders," Journal of Financial Economics, Elsevier, vol. 37(3), pages 371-398, March.
    8. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    9. Paul A. Gompers & Andrew Metrick, 1998. "How Are Large Institutions Different from Other Investors? Why Do These Differences Matter?," Harvard Institute of Economic Research Working Papers 1830, Harvard - Institute of Economic Research.
    10. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    11. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 249-282.
    12. Ferson, Wayne E, 1990. "Are the Latent Variables in Time-Varying Expected Returns Compensation for Consumption Risk?," Journal of Finance, American Finance Association, vol. 45(2), pages 397-429, June.
    13. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    14. Hau, Harald, 1998. "Competitive Entry and Endogenous Risk in the Foreign Exchange Market," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 757-787.
    15. Josef Lakonishok & Andrei Shleifer & Robert W. Vishny, 1991. "Do Institutional Investors Destabilize Stock Prices? Evidence on Herding and Feedback Trading," NBER Working Papers 3846, National Bureau of Economic Research, Inc.
    16. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    17. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    18. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    19. Chan, Louis K. C. & Lakonishok, Josef, 1993. "Institutional trades and intraday stock price behavior," Journal of Financial Economics, Elsevier, vol. 33(2), pages 173-199, April.
    20. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    21. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    22. 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)

    Citations

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


    Cited by:

    1. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    2. Doukas, John A. & Kim, Chansog & Pantzalis, Christos, 2006. "Divergence of opinion and equity returns under different states of earnings expectations," Journal of Financial Markets, Elsevier, vol. 9(3), pages 310-331, August.

    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. Massimo Massa & William Goetzmann, 2001. "Dispersion of Opinion and Stock Returns: Evidence from Index Fund Investors," Yale School of Management Working Papers ysm227, Yale School of Management, revised 01 May 2003.
    2. Massimo Massa & William Goetzmann, 2001. "Dispersion of Opinion and Stock Returns: Evidence from Index Fund Investors," Yale School of Management Working Papers ysm227, Yale School of Management, revised 01 May 2003.
    3. Massimo Massa & William Goetzmann, 2001. "Heterogeneity of Trade and Stock Returns. Evidence from Index Fund Investors," Yale School of Management Working Papers ysm176, Yale School of Management, revised 01 Nov 2001.
    4. Massimo Massa & William Goetzmann, 2000. "Daily Momentum And Contrarian Behavior Of Index Fund Investors," Yale School of Management Working Papers ysm134, Yale School of Management, revised 01 Apr 2001.
    5. Goetzmann, William N. & Massa, Massimo, 2002. "Daily Momentum and Contrarian Behavior of Index Fund Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 375-389, September.
    6. Massimo Massa & William Goetzmann & K. Rouwenhorst, 2000. "Behavioral Factors in Mutual Fund Flows," Yale School of Management Working Papers ysm8, Yale School of Management, revised 01 Jan 2001.
    7. Li, Wei & Rhee, Ghon & Wang, Steven Shuye, 2017. "Differences in herding: Individual vs. institutional investors," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 174-185.
    8. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    9. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    10. Nofsinger, John R., 2001. "The impact of public information on investors," Journal of Banking & Finance, Elsevier, vol. 25(7), pages 1339-1366, July.
    11. Hwang, Soosung & Cho, Youngha & Noh, Sanha, 2022. "The cost of overconfidence in public information," International Review of Financial Analysis, Elsevier, vol. 79(C).
    12. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    13. Minye Zhang & Yongheng Deng, 2010. "Is the Mean Return of Hotel Real Estate Stocks Apt to Overreact to Past Performance?," The Journal of Real Estate Finance and Economics, Springer, vol. 40(4), pages 497-543, May.
    14. Lei, Qin & Wu, Guojun, 2005. "Time-varying informed and uninformed trading activities," Journal of Financial Markets, Elsevier, vol. 8(2), pages 153-181, May.
    15. Shen, Qian & Szakmary, Andrew C. & Sharma, Subhash C., 2005. "Momentum and contrarian strategies in international stock markets: Further evidence," Journal of Multinational Financial Management, Elsevier, vol. 15(3), pages 235-255, July.
    16. McInish, Thomas H. & Ding, David K. & Pyun, Chong Soo & Wongchoti, Udomsak, 2008. "Short-horizon contrarian and momentum strategies in Asian markets: An integrated analysis," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 312-329.
    17. Razvan Stefanescu & Ramona Dumitriu, 2016. "Contrarian and Momentum Profits during Periods of High Trading Volume preceded by Stock Prices Shocks," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 378-384.
    18. Andrey Kudryavtsev, 2019. "The Effect Of Trading Volumes On Stock Returns Following Large Price Moves," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 85-116, January –.
    19. Holden, Craig W. & Subrahmanyam, Avanidhar, 1998. "New Events, Information Acquisition, and Serial Correlation," University of California at Los Angeles, Anderson Graduate School of Management qt4d2537cg, Anderson Graduate School of Management, UCLA.
    20. Nicholas Apergis & Vasilios Plakandaras & Ioannis Pragidis, 2022. "Industry momentum and reversals in stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3093-3138, July.

    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:ysm:somwrk:ysm176. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/smyalus.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.