The Effect of Information Strength and Weight on Behavior in Financial Markets

Abstract Griffin and Tversky (1992) explain evidence of individual over- and underconfidence as resulting from attending too much to the strength (i.e., extremity) of information and not enough to the weight (i.e., statistical reliability) of information. We report two experiments that demonstrate how information strength and weight affect confidence, trading, prices, and wealth in laboratory markets. Our results indicate that information strength and weight affect individual over- and underconfidence and that market participants lack sufficient self-insight to avoid trading when they are biased. As a consequence, market prices are biased, and market participants with high-strength, low-weight information systematically transfer wealth to participants with low-strength, high-weight information.

[1]  Donald V. Moser,et al.  The effects of biases in probability judgments on market prices , 1994 .

[2]  Paul B. Andreassen Judgmental extrapolation and market overreaction: On the use and disuse of news , 1990 .

[3]  Daniel Friedman,et al.  HOW TRADING INSTITUTIONS AFFECT FINANCIAL MARKET PERFORMANCE: SOME LABORATORY EVIDENCE , 1993 .

[4]  Arlington Williams,et al.  Price bubbles and crashes in experimental call markets , 1993 .

[5]  Paul B. Andreassen On the social psychology of the stock market: Aggregate attributional effects and the regressiveness of prediction. , 1987 .

[6]  C. Plott,et al.  The Winner's Curse: Experiments with Buyers and with Sellers , 1989 .

[7]  Vernon L. Smith,et al.  Competitive Market Institutions: Double Auctions vs. Sealed Bid-Offer Auctions , 1982 .

[8]  Janet A. Sniezek,et al.  Revision, Weighting, and commitment in consensus group judgment , 1990 .

[9]  Colin Camerer,et al.  The Disposition Effect in Securities Trading: An Experimental Analysis , 1991 .

[10]  Arlington Williams,et al.  The Formation of Price Forecasts in Experimental Markets , 1987 .

[11]  R. Abrams,et al.  Psychological sources of ambiguity avoidance , 1986 .

[12]  P. Kim When What You KnowCanHurt You: A Study of Experiential Effects on Group Discussion and Performance , 1997 .

[13]  Geoffrey B. Sprinkle,et al.  A Review of the Effects of Financial Incentives on Performance in Laboratory Tasks: Implications for Management Accounting , 2000 .

[14]  Brian P. Shapiro,et al.  Do Cost-Based Pricing Biases Persist in Laboratory Markets? , 1999 .

[15]  R. Hogarth,et al.  Ambiguity and Uncertainty in Probabilistic Inference. , 1985 .

[16]  J. Keynes A Treatise on Probability. , 1923 .

[17]  Janet A. Sniezek,et al.  Groups under uncertainty: An examination of confidence in group decision making☆ , 1992 .

[18]  A. Tversky,et al.  Confidence and accuracy in trait inference: judgment by similarity. , 1996, Acta psychologica.

[19]  J. Shaw,et al.  Are financial incentives related to performance? A meta-analytic review of empirical research. , 1998 .

[20]  David M. Grether,et al.  The preference reversal phenomenon: Response mode, markets and incentives , 1996 .

[21]  B. Fischhoff,et al.  Calibration of probabilities: the state of the art to 1980 , 1982 .

[22]  D. Kahneman,et al.  Experimental Tests of the Endowment Effect and the Coase Theorem , 1990, Journal of Political Economy.

[23]  M. W. Nelson,et al.  Confidence and the Welfare of Less-Informed Investors , 1999 .

[24]  Daniel Friedman,et al.  Competitivity in Auction Markets: An Experimental and Theoretical Investigation , 1995 .

[25]  R. Cattell,et al.  Formal representation of human judgment , 1968 .

[26]  Colin Camerer,et al.  The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework , 1999 .

[27]  George Loewenstein,et al.  The Curse of Knowledge in Economic Settings: An Experimental Analysis , 1989, Journal of Political Economy.

[28]  Susan G. Watts,et al.  Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs* , 1999 .

[29]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[30]  E. Fama EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .

[31]  Vernon L. Smith,et al.  REWARDS, EXPERIENCE AND DECISION COSTS IN FIRST PRICE AUCTIONS , 1993 .

[32]  D. Ellsberg Decision, probability, and utility: Risk, ambiguity, and the Savage axioms , 1961 .

[33]  Does Forecast Accuracy Matter to Analysts , 1998 .

[34]  J. Kagel,et al.  The Winner's Curse and Public Information in Common Value Auctions: Comment , 1999 .

[35]  M. W. Nelson,et al.  Communication of Confidence as a Determinant of Group Judgment Accuracy , 1996 .

[36]  Ward Edwards,et al.  Judgment under uncertainty: Conservatism in human information processing , 1982 .

[37]  S. Sunder,et al.  Professional Traders as Intuitive Bayesians , 1995 .

[38]  J. H. Davis,et al.  Some compelling intuitions about group consensus decisions, theoretical and empirical research, and interpersonal aggregation phenomena: Selected examples 1950-1990 , 1992 .

[39]  A. Tversky,et al.  Preference and belief: Ambiguity and competence in choice under uncertainty , 1991 .

[40]  Geoffrey B. Sprinkle The Effect of Incentive Contracts on Learning and Performance , 2000 .

[41]  M. W. Nelson,et al.  Underreactions, overreactions and moderated confidence , 2000 .

[42]  Keith Weigelt,et al.  Information Mirages in Experimental Asset Markets , 1991 .

[43]  Rakesh K. Sarin,et al.  Effects of ambiguity in market experiments , 1993 .

[44]  L. Ross,et al.  The overconfidence effect in social prediction. , 1990, Journal of personality and social psychology.

[45]  Gideon Keren,et al.  Facing uncertainty in the game of bridge: A calibration study , 1987 .

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

[47]  A. Tversky,et al.  BELIEF IN THE LAW OF SMALL NUMBERS , 1971, Pediatrics.

[48]  S. Lichtenstein,et al.  Do those who know more also know more about how much they know?*1 , 1977 .

[49]  Colin F. Camerer,et al.  The rationality of prices and volume in experimental markets , 1992 .

[50]  Prashant Bordia,et al.  Rumor and Prediction: Making Sense (but Losing Dollars) in the Stock Market , 1997 .

[51]  Robert J. Bloomfield,et al.  Disclosure Effects In The Laboratory: Liquidity, Depth, And The Cost Of Capital , 2000 .

[52]  G. W. Fischer,et al.  Scoring-rule feedback and the overconfidence syndrome in subjective probability forecasting , 1982 .

[53]  Colin Camerer Do Biases in Probability Judgment Matter in Markets? Experimental Evidence , 1987 .

[54]  A. Tversky,et al.  The weighing of evidence and the determinants of confidence , 1992, Cognitive Psychology.

[55]  R. Bloomfield,et al.  Market reactions to differentially available information in the laboratory , 1996 .

[56]  S. Plous,et al.  A comparison of strategies for reducing interval overconfidence in group judgments , 1995 .

[57]  Janet A. Sniezek,et al.  A Comparison of Techniques for Judgmental Forecasting by Groups with Common Information , 1990 .

[58]  V. Smith,et al.  Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets , 1988 .

[59]  Martin Weber,et al.  The impact of endowment framing on market prices -- an experimental analysis , 2000 .

[60]  Brad Tuttle,et al.  An examination of market efficiency: Information order effects in a laboratory market , 1997 .