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Financial Markets and Portfolio Management

, Volume 32, Issue 2, pp 167–205 | Cite as

Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy

  • Ibrahim Filiz
  • Thomas Nahmer
  • Markus SpiwoksEmail author
  • Kilian Bizer
Article
  • 277 Downloads

Abstract

This experimental study examines the influence of herding [following the majority of fellow gamblers or the most successful gambler (guru)], status-quo bias, and the gambler’s fallacy on diversification behavior. We find that neither herding nor status-quo bias contributes significantly to non-optimal portfolio choices. The gambler’s fallacy, however, plays an important role in these decisions. Many subjects appear to find patterns in a history of random events and then use these “patterns” to infer the sequence of future events. The gambler’s fallacy is significantly responsible for the fact that the optimal structure of a portfolio is considered in only 37.7% of all choices made by an investor.

Keywords

Behavioral finance Experiments Portfolio choice Non-optimal diversification Herding Guru Status-quo bias Gambler’s fallacy 

JEL Classification

G02 G11 D81 D84 

Notes

Acknowledgements

We thank the editor and anonymous referees for their helpful and detailed comments, which enormously improved the quality of the paper. We also thank the participants of the 4th International Meeting on Experimental and Behavioral Social Sciences (IMEBESS) at Universitat de Barcelona 2017 for some very constructive comments.

References

  1. Agnew, J., Balduzzi, P., Sundén, A.: Portfolio choice and trading in a large 401(k) plan. Am. Econ. Rev. 93(1), 193–215 (2003)Google Scholar
  2. Anderson, A.: Trading and under-diversification. Rev. Finance 17(5), 1–43 (2013)Google Scholar
  3. Anderson, C.J.: The psychology of doing nothing: forms of decision avoidance result from reason and emotion. Psychol. Bull. 129(1), 139–167 (2003)Google Scholar
  4. Ayton, P., Fischer, I.: The hot-hand fallacy and the gambler’s fallacy: two faces of subjective randomness? Mem. Cognit. 32(8), 1369–1378 (2004)Google Scholar
  5. Baltussen, G., Post, G.T.: Irrational diversification: an examination of individual portfolio choice. J. Finance Quant. Anal. 46(5), 1463–1491 (2011)Google Scholar
  6. Banerjee, A.V.: A simple model of herd behavior. Q. J. Econ. 107(3), 797–817 (1992)Google Scholar
  7. Barber, B.M., Odean, T.: Trading is hazardous to your wealth: the common stock investment performance of individual investors. J. Financ 55(2), 773–806 (2000)Google Scholar
  8. Barron, G., Leider, S.: The role of experience in the gambler’s fallacy. J. Behav. Decis. Making 23(1), 117–129 (2010)Google Scholar
  9. Belhoula, M., Naoui, K.: Herding and positive feedback trading in american stock market: a two-directional behavior of investors. Int. J. Bus. Manag. 6(9), 244–252 (2011)Google Scholar
  10. Benartzi, S.: Excessive extrapolation and the allocation of 401(k) accounts to company stock. J. Finance 56(5), 1747–1764 (2001)Google Scholar
  11. Benartzi, S., Thaler, R.H.: Naïve diversification strategies in defined contribution saving plans. American Econ. Rev. 91(1), 79–98 (2001)Google Scholar
  12. Bikhchandani, S., Hirshleifer, D., Welch, I.: Learning from the behavior of others: conformity, fads and informational cascades. J. Econ. Persp. 12(3), 151–170 (1998)Google Scholar
  13. Blume, M.E., Friend, I.: The asset structure of individual portfolios and some implications for utility functions. J. Finance 30(2), 585–603 (1975)Google Scholar
  14. Bode, M., van Echelpoel, A., Sievi, C.R.: Multinationale Diversifikation: viel zitiert, kaum befolgt. Die Bank 94(4), 202–206 (1994)Google Scholar
  15. Boyson, N.M.: Implicit incentives and reputational herding by hedge fund managers. J. Empir. Finance 17(3), 283–299 (2010)Google Scholar
  16. Brown, A.L., Kagel, J.H.: behavior in a simplified stock market: the status-quo bias, the disposition effect and the ostrich effect. Ann. Finance 5(1), 1–14 (2009)Google Scholar
  17. Bryant, L.L., Evans, J., Bishara, J.: Status quo bias in the mutual fund market: consumer inertia amidst benefitless fee increases. Bank. Finance Rev. 4(1), 89–107 (2012)Google Scholar
  18. Chang, C.H.: The relationship between the disposition effect and herding behavior: evidence from Taiwan’s information technology stocks. Int. J. Soc. Behav. Edu. Econ. Bus. Indust. Eng. 7(7), 1971–1975 (2013)Google Scholar
  19. Chang, E.C., Cheng, J.W., Khorana, A.: An examination of herd behavior in equity markets: an international perspective. J. Bank. Finance 24(10), 1651–1679 (2000)Google Scholar
  20. Charness, G., Gneezy, U., Imas, A.: Experimental methods: eliciting risk preferences. J. Econ. Behav. Orga. 87, 43–51 (2013)Google Scholar
  21. Chen, D., Moskowitz, T.J., Shue, K.: Decision making under the gambler’s fallacy: evidence from asylum judges, loan officers and baseball umpires. Q. J. Econ. 131(3), 1181–1242 (2016)Google Scholar
  22. Chen, Y., Wang, C., Lin, F.: Do qualified foreign institutional investors herd in Taiwan’s securities market? Emerging Mark. Finance Trade 44(4), 62–74 (2008)Google Scholar
  23. Chiang, T.C., Zheng, D.: An empirical analysis of herd behavior in global stock markets. J. Bank. Finance 34(8), 1911–1921 (2010)Google Scholar
  24. Choe, H., Kho, B.C., Stulz, R.M.: Do foreign investors destabilize stock markets? The Korean experience in 1997. J. Finance Econ. 54(2), 227–264 (1999)Google Scholar
  25. Choi, J.J., Laibson, D., Madrian, B.C., Metrick, A.: For better or for worse: default effects and 401(k) savings behavior. In: Wise, D.A. (ed.) Perspectives in the economics of aging, pp. 81–121. University of Chicago Press, Chicago (2004)Google Scholar
  26. Choi, J.J., Laibson, D., Madrian, B.C., Metrick, A.: Reinforcement learning and savings behavior. J. Finance 64(6), 2515–2534 (2009)Google Scholar
  27. Choi, S.: Herding among local individual investors: evidence from online and offline trading. Econ. Lett. 144, 4–6 (2016)Google Scholar
  28. Christie, W.G., Huang, R.D.: Following the pied piper: do individual returns herd around the market? Finance Anal. J. 51(4), 31–37 (1995)Google Scholar
  29. Clotfelter, C. T., Cook, P. J.: The “gambler’s fallacy” in lottery play. Working Paper, National Bureau of Economic Research (1991)Google Scholar
  30. Crosetto, P., Filippin, A.: The “bomb” risk elicitation task. J. Risk Uncertainty 47(1), 31–65 (2013)Google Scholar
  31. Devenow, A., Welch, I.: Rational herding in financial economics. Eur. Econ. Rev. 40, 603–615 (1996)Google Scholar
  32. Dimmock, S.G., Kouwenberg, R., Mitchell, O.S., Peijnenburg, K.: Ambiguity aversion and household portfolio choice puzzles: empirical evidence. J. Finance Econ. 119(3), 559–577 (2016)Google Scholar
  33. Dohmen, T., Falk, A., Huffman, D., Sunde, U., Schupp, J., Wagner, G.G.: Individual risk attitudes: measurement, determinants, and behavioral consequences. J. Eur. Econ. Assoc. 9(3), 522–550 (2011)Google Scholar
  34. Eckel, C.C., Grossman, P.J.: Sex differences and statistical stereotyping in attitudes toward financial risk. Evol. Human Behav. 23(4), 281–295 (2002)Google Scholar
  35. Eckel, C.C., Grossman, P.J.: Forecasting risk attitudes: an experimental study using actual and forecast gamble choices. J. Econ. Behav. Organ. 68(1), 1–17 (2008)Google Scholar
  36. Ennis, R.M., Sebastian, M.D.: A critical look at the case for hedge funds. J. Portf. Manag. 29(4), 103–112 (2003)Google Scholar
  37. Eyster, E., Weizsäcker, G.: Correlation neglect in financial decision making. Discussion Paper, Deutsches Institut für Wirtschaftsforschung, Berlin (2011)Google Scholar
  38. Fellner, G., Güth, W., Maciejovsky, B.: Illusion of expertise in portfolio decisions: an experimental approach. J. Econ. Behav. Organ. 55(3), 355–376 (2004)Google Scholar
  39. Fernandes, D.: The 1/N rule revisited: heterogeneity in the naïve diversification bias. Int. J. Res. Market. 30(3), 310–313 (2013)Google Scholar
  40. Fischbacher, U.: z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Econ. 10(2), 171–178 (2007)Google Scholar
  41. Freiburg, M., Grichnik, D.: Institutional reinvestments in private equity funds as a double-edged sword: the role of the status-quo bias. J. Behav. Finance 14(2), 134–148 (2013)Google Scholar
  42. Galariotis, E.C., Rong, W., Spyrou, S.I.: Herding on fundamental information: a comparative study. J. Bank. Finance 50, 589–598 (2015)Google Scholar
  43. Geng, S.: Decision time, consideration time and status-quo bias. Econ. Inq. 54(1), 433–449 (2016)Google Scholar
  44. Gneezy, U., Potters, J.: An experiment on risk taking and evaluation periods. Q. J. Econ. 112(2), 631–645 (1997)Google Scholar
  45. Goetzmann, W.N., Kumar, A.: Equity Portfolio diversification. Rev. Finance 12(3), 433–463 (2008)Google Scholar
  46. Gubaydullina, Z., Hein, O., Spiwoks, M.: The status-quo bias of bond market analysts. J. App. Finance Bank. 1(1), 31–51 (2011)Google Scholar
  47. Gubaydullina, Z., Spiwoks, M.: Correlation neglect, naïve diversification, and irrelevant information as stumbling blocks for optimal diversification. J. Finance Invest. Anal. 4(2), 1–19 (2015)Google Scholar
  48. Guiso, L., Haliassos, M., Japelli, T.: Household portfolios. MIT Press, Cambridge (2002)Google Scholar
  49. Hedesstrom, T.M., Svedsater, H., Garling, T.: Covariation neglect among novice investors. J. Exp. Psychol. App. 12(3), 155–165 (2006)Google Scholar
  50. Hein, O., Schwind, M., Spiwoks, M.: Frankfurt artificial stock market—a microscopic stock market model with heterogeneous interacting agents in small-world communication networks. J. Econ. Interact. Coord. 3(1), 59–71 (2008)Google Scholar
  51. Hein, O., Schwind, M., Spiwoks, M.: Network centrality and stock market volatility: the impact of communication topologies on prices. J. Finance Invest. Anal. 1(1), 199–232 (2012)Google Scholar
  52. Hibbert, A.M., Lawrence, E.R., Prakash, A.J.: Can diversification be learned? J. Behav. Finance 13(1), 38–50 (2012)Google Scholar
  53. Holt, C.A., Laury, S.K.: Risk aversion and incentive effects. Am. Econ. Rev. 92(5), 1644–1655 (2002)Google Scholar
  54. Huang, T.C., Wu, C.C., Lin, B.H.: Institutional herding and risk-return relationship. J. Bus. Res. 69(6), 2073–2080 (2016)Google Scholar
  55. Huber, J., Kirchler, M., Stöckl, T.: The hot hand belief and the gambler’s fallacy in investment decisions under risk. Theory Dec. 68(4), 445–462 (2010)Google Scholar
  56. Huberman, G., Sengmueller, P.: Performance and employer stock in 401(k) plans. Rev. Finance 8(3), 403–443 (2004)Google Scholar
  57. Inman, J.J., Zeelenberg, M.: Regret in Repeat Purchase Versus Switching Decisions: the Attenuating Role of Decision Justifiability. J. Consumer Res. 29(1), 116–128 (2002)Google Scholar
  58. Kahneman, D., Tversky, A.: The psychology of preferences. Scient. Americ. 246(1), 160–173 (1982)Google Scholar
  59. Kallir, I., Sonsino, D.: The Neglect of Correlation in Allocation Decisions. Southern Econ. J. 75(4), 1045–1066 (2009)Google Scholar
  60. Kempf, A., Ruenzi, S.: Status Quo Bias and the Number of Alternatives: an Empirical Illustration from the Mutual Fund Industry. J. Behav. Finance 7(4), 204–213 (2006)Google Scholar
  61. Keynes, J.M.: The General Theory of Employment. Macmillan, Interest and Money. London (1936)Google Scholar
  62. Kim, W., Jegadeesh, N.: Do Analysts Herd? An Analysis of Recommendations and Market Reactions. Rev. Finance Stud. 23(2), 901–937 (2010)Google Scholar
  63. Klemkosky, R.C.: The impact and efficiency of institutional net trading imbalances. J. of Finance 32(1), 79–86 (1977)Google Scholar
  64. Kraus, A., Stoll, H.R.: Parallel trading by institutional investors. J. Finance Quant. Anal. 7(5), 2107–2138 (1972)Google Scholar
  65. Kremer, S., Nautz, D.: Causes and consequences of short-term institutional herding. J. Bank. Finance 37(5), 1676–1686 (2013)Google Scholar
  66. Lakonishok, J., Shleifer, A., Vishny, R.W.: The impact of institutional trading on stock prices. J. Finance Econ. 32(1), 23–43 (1992)Google Scholar
  67. Lease, R.C., Lewellen, W.G., Schlarbaum, G.G.: The individual investor: attributes and attitudes. J. Finance 29(2), 413–433 (1974)Google Scholar
  68. Lejuez, C.W., Aklina, W.M., Zvolenskyb, M.J., Pedullac, C.M.: Evaluation of the balloon analogue risk task (BART) as a predictor of adolescent real-world risk-taking behaviours. J. Adolescence 26(4), 475–479 (2003)Google Scholar
  69. Lin, W.T., Tsai, S.-C., Lung, P.-Y.: Investors’ herd behavior: rational or irrational? Asia-Pacific J. Finance Stud. 42(5), 755–776 (2013)Google Scholar
  70. Lönnqvist, J.-E., Verkasalo, M., Walkowitz, G., Wichardt, P.C.: Measuring individual risk attitudes in the lab: task or ask? an empirical comparison. J. Econ. Behav. Orga. 119, 254–266 (2015)Google Scholar
  71. Mackay, C.: Extraordinary Popular Delusions and the Madness of Crowds. Richard Bentley, London (1841)Google Scholar
  72. Markose, S., Alentorn, A., Krause, A.: Dynamic learning, herding and guru effects in networks. Working Paper, Economics Department, University of Essex (2004)Google Scholar
  73. Markowitz, H.: Portfolio selection. J. Finance 7(1), 77–91 (1952)Google Scholar
  74. Meulbroek, L.: Company stock in pension plans: how costly is it? J. Law Econ. 48(2), 443–474 (2005)Google Scholar
  75. Morrin, M., Inman, J.J., Broniarczyk, S.M., Nenkov, G.Y., Reuter, J.: Investing for retirement: the moderating effect of fund assortment size on the 1/N heuristic. J. Market. Res. 49(4), 537–550 (2012)Google Scholar
  76. Nofsinger, J., Sias, R.: Herding and feedback trading by institutional and individual investors. J. Finance 54(6), 2263–2295 (1999)Google Scholar
  77. Panchenko, V., Gerasymchuk, S., Pavlov, O.V.: Asset price dynamics with local interactions under heterogeneous beliefs. J. Econ. Dyn. Control 37(12), 2623–2642 (2013)Google Scholar
  78. Patel, J., Zeckhauser, R., Hendricks, D.: The rationality struggle: illustrations from financial markets. Am. Econ. Rev. 81(2), 232–236 (1991)Google Scholar
  79. Polkovnichenko, V.: Household portfolio diversification: a case for rank-dependent preferences. Rev. Finance Stud. 18(4), 1467–1502 (2005)Google Scholar
  80. Powdthavee, N., Riyanto, Y. E.: Why do people pay for useless advice? Implications of gambler’s and hot-hand fallacies in false-expert setting. Discussion Paper, Institut zur Zukunft der Arbeit (2012)Google Scholar
  81. Rieger, M.O.: Why do investors buy bad financial products? Probability misestimation and preferences in financial investment decision. J. Behav. Finance 13(2), 108–118 (2012)Google Scholar
  82. Samuelson, W., Zeckhauser, R.: Status-quo bias in decision making. J. Risk Uncertainty 1(1), 7–59 (1988)Google Scholar
  83. Scharfstein, D.S., Stein, J.C.: Herd behavior and investment. Am. Econ. Rev. 80(3), 465–479 (1990)Google Scholar
  84. Sias, R.W.: Institutional herding. Rev. Finance Stud. 17(1), 165–206 (2004)Google Scholar
  85. Spiwoks, M.: External triggered herding bei Rentenmarkt-Analysten. Finanzmarkt und Portfolio Management 18(1), 58–83 (2004)Google Scholar
  86. Spiwoks, M., Bizer, K., Hein, O.: Anchoring near the lighthouse: bond market analysts’ behavior co-ordination by external signal. Eur. J. Econ. Finance Admin. Sci. 13, 169–191 (2008)Google Scholar
  87. Stöckl, T., Huber, J., Kirchler, M., Lindner, F.: Hot hand and gambler’s fallacy in teams: evidence from investment experiments. J. Econ. Behav. Orga. 117, 327–339 (2015)Google Scholar
  88. Suetens, S., Galbo-Joergensen, C., Tyran, J.-R.: Predicting lotto numbers: experiment on the gambler’s fallacy and the hot-hand fallacy. J. Eur. Econ. Assoc. 14(3), 584–607 (2016)Google Scholar
  89. Sumpter, D.J.T., Zabzina, N., Nicolis, S.C.: Six predictions about the decision making of animal and human groups. Manag. Decis. Econ. 33(5–6), 295–309 (2012)Google Scholar
  90. Tedeschi, G., Iori, G., Gallegati, M.: The role of communication and imitation in limit order markets. Eur. Phy. J. B. 71, 489–497 (2009)Google Scholar
  91. Tedeschi, G., Iori, G., Gallegati, M.: Herding effects in order driven markets: the rise and fall of gurus. J. Econ. Behav. Organ. 81(1), 82–96 (2012)Google Scholar
  92. Tversky, A., Kahneman, D.: Belief in the law of small numbers. Psychol. Bull. 76(2), 105–110 (1971)Google Scholar
  93. Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185, 1124–1131 (1974)Google Scholar
  94. Voronkova, S., Bohl, M.T.: Institutional traders’ behavior in an emerging stock market: empirical evidence on polish pension fund investors. J. Bus. Finance Acc. 32(7–8), 1537–1560 (2005)Google Scholar
  95. Walter, A., Weber, F.M.: Herding in the German Mutual Fund Industry. Eur. Finance Manag. 12(3), 375–406 (2006)Google Scholar
  96. Weber, E.U., Siebenmorgen, N., Weber, M.: Communication asset risk: how name recognition and the format of historic volatility information affect risk perception and investment decisions. Risk Anal. 25(3), 597–609 (2005)Google Scholar
  97. Wermers, R.: Mutual fund herding and the impact on stock prices. J. Finance 54, 581–622 (1999)Google Scholar
  98. Yen, H.R., Chuang, S.C.: The effect of incidental affect on preference for the status quo. J. Acad. Market. Sci. 36(4), 522–537 (2008)Google Scholar
  99. Zeelenberg, M., van den Bos, K., van Dijk, E., Pieters, R.: The inaction effect in the psychology of regret. J. Personal. Soc. Psychol. 82(3), 314–327 (2002)Google Scholar

Copyright information

© Swiss Society for Financial Market Research 2018

Authors and Affiliations

  • Ibrahim Filiz
    • 1
  • Thomas Nahmer
    • 2
  • Markus Spiwoks
    • 1
    Email author
  • Kilian Bizer
    • 2
  1. 1.Faculty of BusinessOstfalia University of Applied SciencesWolfsburgGermany
  2. 2.Faculty of Economic SciencesGeorg August University GöttingenGöttingenGermany

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