Herd Behavior in a Laboratory Financial Market

We study herd behavior in a laboratory financial market. Subjects receive private information on the fundamental value of an asset and trade it in sequence with a market maker. The market maker updates the asset price according to the history of trades. Theory predicts that agents should never herd. Our experimental results are in line with this prediction. Nevertheless, we observe a phenomenon not accounted for by the theory. In some cases, subjects decide not to use their private information and choose not to trade. In other cases, they ignore their private information to trade against the market (contrarian behavior).

[1]  Robert J. Bloomfield,et al.  Market Transparency: Who Wins and Who Loses? , 1999 .

[2]  Robert J. Bloomfield,et al.  Quotes, Prices, and Estimates in a Laboratory Market , 1996 .

[3]  Markus K. Brunnermeier Asset Pricing under Asymmetric Information , 2001 .

[4]  Maureen O'Hara,et al.  Can transparent markets survive , 2000 .

[5]  Markus K. Brunnermeier Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding , 2001 .

[6]  In Ho Lee Market Crashes and Informational Avalanches , 1998 .

[7]  Paul R. Milgrom,et al.  Bid, ask and transaction prices in a specialist market with heterogeneously informed traders , 1985 .

[8]  R. McKelvey,et al.  Quantal Response Equilibria for Extensive Form Games , 1998 .

[9]  Robert J. Bloomfield,et al.  Does order preferencing matter , 1998 .

[10]  A. Banerjee,et al.  A Simple Model of Herd Behavior , 1992 .

[11]  S. Titman,et al.  Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior , 1994 .

[12]  Mathias Drehmann,et al.  Herding and Contrarian Behavior in Financial Markets: An Internet Experiment , 2005 .

[13]  Nancy L. Stokey,et al.  Information, Trade, and Common Knowledge , 1982 .

[14]  R. Kalra,et al.  Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses , 2001 .

[15]  Bengt Holmstrom,et al.  Herd Behavior and Investment , 2022 .

[16]  Russ Wermers,et al.  Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses , 2000 .

[17]  Jonathan E. Alevy,et al.  Information Cascades: Evidence from a Field Experiment with Financial Market Professionals , 2004 .

[18]  D. Hirshleifer,et al.  Herd Behaviour and Cascading in Capital Markets: A Review and Synthesis , 2003 .

[19]  C. Avery,et al.  Multidimensional Uncertainty and Herd Behavior in Financial Markets , 1998 .

[20]  Dorothea Kübler,et al.  Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory , 2001 .

[21]  Lones Smith,et al.  Pathological Outcomes of Observational Learning , 2000 .

[22]  Shachar Kariv,et al.  Distinguishing Informational Cascades from Herd Behavior in the Laboratory , 2004 .

[23]  R. McKelvey,et al.  Quantal Response Equilibria for Normal Form Games , 1995 .

[24]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[25]  I. Welch Sequential Sales, Learning, and Cascades , 1992 .

[26]  Joerg Oechssler,et al.  Informational cascades in the laboratory: Do they occur for the right reasons? , 2000 .

[27]  C. Chamley Rational Herds: Economic Models of Social Learning , 2003 .

[28]  Josef Lakonishok,et al.  The impact of institutional trading on stock prices * , 1991 .

[29]  Charles A. Holt,et al.  Information Cascades in the Laboratory , 1998 .