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The repurchase behavior of individual investors : an experimental investigation

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  • Weber, Martin
  • Welfens, Frank

Abstract

We analyze two recently documented follow-on purchase and repurchase patterns experimentally: Individual investors’ preference for purchasing additional shares of a stock that decreased rather than increased in value succeeding an initial purchase (pattern 1) and investors’ tendency for purchasing stocks that they previously sold at a higher price (pattern 2). Similar to the field data study by Odean, Strahilevitz, and Barber (2004), subjects in our experiment are about 2.5 to 3 times as likely to purchase units of a single fictitious good if the price of the good declined following a purchase or sale in the previous period. As an assignment of choices clearly reduces the effect, we ar-gue that investors are involved in counterfactual thinking: They refrain from purchasing additional shares or repurchasing shares at a higher price because doing so means admitting to their ex post wrong decision.

Suggested Citation

  • Weber, Martin & Welfens, Frank, 2007. "The repurchase behavior of individual investors : an experimental investigation," Papers 07-44, Sonderforschungsbreich 504.
  • Handle: RePEc:mnh:spaper:2524
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    1. Peter Bossaerts & Charles Plott & William R. Zame, 2005. "Prices and Portfolio Choices in Financial Markets: Theory and Experiments," UCLA Economics Working Papers 840, UCLA Department of Economics.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Glaser, Markus, 2003. "Online broker investors : demographic information, investment strategy, portfolio positions, and trading activity," Papers 03-18, Sonderforschungsbreich 504.
    4. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    5. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    6. Blume, Marshall E & Friend, Irwin, 1975. "The Asset Structure of Individual Portfolios and Some Implications for Utility Functions," Journal of Finance, American Finance Association, vol. 30(2), pages 585-603, May.
    7. Martin Weber & Heiko Zuchel, 2005. "How Do Prior Outcomes Affect Risk Attitude? Comparing Escalation of Commitment and the House-Money Effect," Decision Analysis, INFORMS, vol. 2(1), pages 30-43, March.
    8. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    9. David Hirshleifer & James N. Myers & Linda A. Myers & Siew Hong Teoh, 2004. "Do Individual Investors Drive Post-Earnings Announcement Drift? Direct Evidence from Personal Trades," Finance 0412003, University Library of Munich, Germany.
    10. Glaser, Markus, 2003. "Online Broker Investors: Demographic Information, Investment Strategy, Portfolio Positions, and Trading Activity," Sonderforschungsbereich 504 Publications 03-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. Weber, Martin & Camerer, Colin F., 1998. "The disposition effect in securities trading: an experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 167-184, January.
    13. Mark Grinblatt & Matti Keloharju, 2000. "What Makes Investors Trade?," Yale School of Management Working Papers ysm146, Yale School of Management, revised 01 Nov 2001.
    14. Lee, Charles M. C., 1992. "Earnings news and small traders : An intraday analysis," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 265-302, August.
    15. Kroll, Yoram & Levy, Haim & Rapoport, Amnon, 1988. "Experimental Tests of the Separation Theorem and the Capital Asset Pricing Model," American Economic Review, American Economic Association, vol. 78(3), pages 500-519, June.
    16. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    17. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    18. Thaler, Richard, 1980. "Toward a positive theory of consumer choice," Journal of Economic Behavior & Organization, Elsevier, vol. 1(1), pages 39-60, March.
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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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