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The hot hand belief and the gambler’s fallacy in investment decisions under risk

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Abstract

We conduct experiments to analyze investment behavior in decisions under risk. Subjects can bet on the outcomes of a series of coin tosses themselves, rely on randomized ‘experts’, or choose a risk-free alternative. We observe that subjects who rely on the randomized experts pick those who were successful in the past, showing behavior consistent with the hot hand belief. Obviously the term ‘expert’ suffices to attract some subjects. For those who decide on their own, we find behavior consistent with the gambler’s fallacy, as the frequency of betting on heads (tails) decreases after streaks of heads (tails).

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References

  • Ayton P., Fischer I. (2004) The hot hand fallacy and the gambler’s fallacy: two faces of subjective randomness?. Memory and Cognition 32: 1369–1378

    Google Scholar 

  • Bachelier L. (1900) Théorie de la Spéculation. Gauthier Villars, Paris

    Google Scholar 

  • Bar-Eli M., Avugos S., Raab M. (2006) Twenty years of “hot hand” research: review and critique. Psychology of Sport and Exercise 7: 525–553

    Article  Google Scholar 

  • Carhart M.M. (1997) On persistence in mutual fund performance. The Journal of Finance 52: 57–82

    Article  Google Scholar 

  • Caruso, E. M., & Epley, N. (2004). Hot hands and cool machines: perceived intentionality in the predictions of streaks. Poster session presented at the 5th Annual Meeting of the Society for Personality and Social Psychology, Austin, TX, USA.

  • Croson R., Sundali J. (2005) The Gambler’s fallacy and the Hot hand: empirical data from casinos. The Journal of Risk and Uncertainty 30(3): 195–209

    Article  Google Scholar 

  • Dohmen, T. J., Falk, A., Huffman, D., Schupp, J., Sunde, U., & Wagner, G. G. (2006). Individual risk attitudes: New evidence from a large, representative, experimentally-validated survey. CEPR Discussion Paper No. 5517.

  • Estes W.K. (1964) Probability learning. In: Melton A.W.(eds) Categories of human learning. Academic Press, New York, London

    Google Scholar 

  • Fama E.F. (1970) Efficient capital markets: A review of theory and empirical work. The Journal of Finance 45: 383–417

    Article  Google Scholar 

  • Fama E.F. (1991) Efficient capital markets II. The Journal of Finance 66: 1575–1616

    Article  Google Scholar 

  • Fischbacher U. (2007) z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics 10: 171–178

    Article  Google Scholar 

  • Jensen M.C. (1968) The performance of mutual funds in the period 1945–1964. The Journal of Finance 23: 389–416

    Article  Google Scholar 

  • Jörgensen, C. B. (2006). Field evidence on the law of small numbers. Working Paper.

  • Kahneman D., Tversky A. (1979) Prospect theory: An analysis of decision under risk. Econometrica 47: 263–291

    Article  Google Scholar 

  • Malkiel B.G. (2005) Reflections on the efficient market hypothesis: 30 years later. The Financial Review 40: 1–9

    Article  Google Scholar 

  • Nickerson R.S. (2004) Cognition and chance: The psychology of probabilistic reasoning. Lawrence Erlbaum Associates Inc, Mahwah, NJ

    Google Scholar 

  • Odean T. (1998) Are investors reluctant to realize their losses?. The Journal of Finance 53: 1775–1798

    Article  Google Scholar 

  • Rabin M. (2002) Inference by believers in the law of small numbers. The Quarterly Journal of Economics 117: 775–816

    Article  Google Scholar 

  • Rapoport A., Budescu D. (1997) Randomization in individual choice behavior. Psychology: Review 104: 603–617

    Article  Google Scholar 

  • Rieskamp J. (2006) Positive and negative regency effects in retirement saving decisions. Journal of Experimental Psychology: Applied 12: 233–250

    Article  Google Scholar 

  • Shapira Z., Venezia I. (2001) Patterns of behavior of professionally managed and independent investors. Journal of Banking & Finance 25: 1573–1587

    Article  Google Scholar 

  • Sirri E.R., Tufano P. (1998) Costly search and mutual fund flows. The Journal of Finance 53: 1589–1622

    Article  Google Scholar 

  • Sundali J., Croson R. (2006) Biases in casino betting: The hot hand and the Gambler’s fallacy. Judgment and Decision Making 1: 1–12

    Google Scholar 

  • Tversky A., Kahneman D. (1971) Belief in the Law of Small Numbers. Psychological Bulletin 76: 105–110

    Article  Google Scholar 

Download references

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Correspondence to Michael Kirchler.

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Huber, J., Kirchler, M. & Stöckl, T. The hot hand belief and the gambler’s fallacy in investment decisions under risk. Theory Decis 68, 445–462 (2010). https://doi.org/10.1007/s11238-008-9106-2

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  • DOI: https://doi.org/10.1007/s11238-008-9106-2

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