IDEAS home Printed from https://ideas.repec.org/a/bla/irvfin/v8y2008i3-4p179-206.html
   My bibliography  Save this article

Effect of Investor Category Trading Imbalances on Stock Returns

Author

Listed:
  • DAVID COLWELL
  • JULIA HENKER
  • TERRY WALTER

Abstract

Trading is the mechanism of the economist's ‘invisible hand,’ the means by which price discovery occurs. We use daily shareholdings data from the Australian equities clearinghouse to investigate the impact of the trading imbalances of investor categories on stock returns. Our evidence does not contradict the behavioral finance assumption that the trading of individual investors contributes to price discovery. Furthermore, we find that, while the trading of all investor categories Granger‐causes returns, returns Granger‐cause trading only for the individual investor category. That is, in the short term of up to 1 month, only individual investors engage in feedback trading.

Suggested Citation

  • David Colwell & Julia Henker & Terry Walter, 2008. "Effect of Investor Category Trading Imbalances on Stock Returns," International Review of Finance, International Review of Finance Ltd., vol. 8(3‐4), pages 179-206, September.
    • Handle: RePEc:bla:irvfin:v:8:y:2008:i:3-4:p:179-206
    DOI: 10.1111/j.1468-2443.2008.00081.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-2443.2008.00081.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1468-2443.2008.00081.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    2. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    3. Brian D. Kluger & Steve B. Wyatt, 2004. "Are Judgment Errors Reflected in Market Prices and Allocations? Experimental Evidence Based on the Monty Hall Problem," Journal of Finance, American Finance Association, vol. 59(3), pages 969-998, June.
    4. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    5. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    6. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    7. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    8. Jung-Wook Kim & Jason Lee & Randall K. Morck, 2004. "Heterogeneous Investors and their Changing Demand and Supply Schedules for Individual Common Stocks," NBER Working Papers 10410, National Bureau of Economic Research, Inc.
    9. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    10. Kamesaka, Akiko & Nofsinger, John R. & Kawakita, Hidetaka, 2003. "Investment patterns and performance of investor groups in Japan," Pacific-Basin Finance Journal, Elsevier, vol. 11(1), pages 1-22, January.
    11. Cha, Heung-Joo & Lee, Bong-Soo, 2001. "The Market Demand Curve for Common Stocks: Evidence from Equity Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(2), pages 195-220, June.
    12. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, August.
    13. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    14. Bange, Mary M., 2000. "Do the Portfolios of Small Investors Reflect Positive Feedback Trading?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(2), pages 239-255, June.
    15. 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.
    16. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    17. Yoshio Iihara & Hideaki Kiyoshi Kato & Toshifumi Tokunaga, 2001. "Investors' Herding on the Tokyo Stock Exchange," International Review of Finance, International Review of Finance Ltd., vol. 2(1&2), pages 71-98.
    18. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
    19. Froot, Kenneth A. & O'Connell, Paul G. J. & Seasholes, Mark S., 2001. "The portfolio flows of international investors," Journal of Financial Economics, Elsevier, vol. 59(2), pages 151-193, February.
    20. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
    21. Gordon Gemmill & Dylan C. Thomas, 2002. "Noise Trading, Costly Arbitrage, and Asset Prices: Evidence from Closed‐end Funds," Journal of Finance, American Finance Association, vol. 57(6), pages 2571-2594, December.
    22. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    23. Asparouhova, Elena & Bossaerts, Peter & Plott, Charles, 2003. "Excess demand and equilibration in multi-security financial markets: the empirical evidence," Journal of Financial Markets, Elsevier, vol. 6(1), pages 1-21, January.
    24. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    25. Alok Kumar & Ravi Dhar, 2001. "A Non-Random Walk Down the Main Street: Impact of Price Trends on Trading Decisions of Individual Investors," Yale School of Management Working Papers ysm208, Yale School of Management.
    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. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    2. Reza Bradrania & Andrew Grant & Peter Joakim Westerholm & Wei Wu, 2017. "Fool's mate: What does CHESS tell us about individual investor trading performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 981-1017, December.
    3. Andrikopoulos, Panagiotis & Cui, Yueting & Gad, Samar & Kallinterakis, Vasileios, 2020. "Feedback trading and the ramadan effect in frontier markets," Research in International Business and Finance, Elsevier, vol. 51(C).
    4. Gordon, Narelle & Wu, Qiongbing, 2018. "The high-volume return premium and changes in investor recognition," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 121-136.
    5. Walid M.A. Ahmed, 2016. "Cross-border equity flows and market volatility: the case of Qatar Exchange," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 11(3), pages 395-418, July.
    6. McAdam, Chris, 2020. "Are investors compensated for their sophistication and informedness for company takeovers – An Australian study," Global Finance Journal, Elsevier, vol. 44(C).
    7. Bing, Tao & Ma, Hongkun, 2021. "COVID-19 pandemic effect on trading and returns: Evidence from the Chinese stock market," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 384-396.
    8. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).

    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. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    2. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    3. Qian, Xiaolin, 2014. "Small investor sentiment, differences of opinion and stock overvaluation," Journal of Financial Markets, Elsevier, vol. 19(C), pages 219-246.
    4. 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.
    5. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    6. Itzhak Venezia, 2018. "Lecture Notes in Behavioral Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 10751, January.
    7. Kumar, Alok, 2007. "Do the diversification choices of individual investors influence stock returns?," Journal of Financial Markets, Elsevier, vol. 10(4), pages 362-390, November.
    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    9. Cohen, Randolph B. & Gompers, Paul A. & Vuolteenaho, Tuomo, 2002. "Who underreacts to cash-flow news? evidence from trading between individuals and institutions," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 409-462.
    10. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    11. Masahiro Watanabe, 2002. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Yale School of Management Working Papers amz2636, Yale School of Management, revised 01 Jul 2002.
    12. Lei, Qin & Wu, Guojun, 2005. "Time-varying informed and uninformed trading activities," Journal of Financial Markets, Elsevier, vol. 8(2), pages 153-181, May.
    13. Grinblatt, Mark & Han, Bing, 2001. "The Disposition Effect and Momentum," University of California at Los Angeles, Anderson Graduate School of Management qt6qg5d62p, Anderson Graduate School of Management, UCLA.
    14. Cong Chen & Changsheng Hu & Liang Wu, 2023. "Feedback Trading, Investor Sentiment and the Volatility Puzzle: An Infinite Theoretical Framework," Mathematics, MDPI, vol. 11(14), pages 1-15, July.
    15. Baltzer, Markus & Jank, Stephan & Smajlbegovic, Esad, 2019. "Who trades on momentum?," Journal of Financial Markets, Elsevier, vol. 42(C), pages 56-74.
    16. Glaser, Markus & Nöth, Markus & Weber, Martin, 2003. "Behavioral finance," Papers 03-14, Sonderforschungsbreich 504.
    17. Deven Bathia & Don Bredin, 2013. "An examination of investor sentiment effect on G7 stock market returns," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 909-937, October.
    18. Avanidhar Subrahmanyam, 2008. "Behavioural Finance: A Review and Synthesis," European Financial Management, European Financial Management Association, vol. 14(1), pages 12-29, January.
    19. Kamesaka, Akiko & Nofsinger, John R. & Kawakita, Hidetaka, 2003. "Investment patterns and performance of investor groups in Japan," Pacific-Basin Finance Journal, Elsevier, vol. 11(1), pages 1-22, January.
    20. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.

    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:bla:irvfin:v:8:y:2008:i:3-4:p:179-206. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1369-412X .

    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.