Empirical research documents that temporary trends in stock price movements exist. Moreover, riding a trend can be a profitable investment strategy. Thus, the ability to recognize trends in stock markets influences the quality of investment decisions. In this Paper, we provide a thorough test of the trend recognition and forecasting ability of financial professionals who work in the trading room of a large bank and novices (MBA students). In an experimental study, we analyse two ways of trend prediction: probability estimates and confidence intervals. Subjects observe stock price charts, which are artificially generated by either a process with positive or negative trend and are asked to provide subjective probability estimates for the trend. In addition, the subjects were asked to state confidence intervals for the development of the chart in the future. We find that depending on the type of task either underconfidence (in probability estimates) or overconfidence (in confidence intervals) can be observed in the same trend prediction setting based on the same information. Underconfidence in probability estimates is more pronounced the longer the price history observed by subjects and the higher the discriminability of the price path generating processes. Furthermore, we find that the degree of overconfidence in both tasks is significantly positively correlated for all experimental subjects whereas performance measures are not. Our study has important implications for financial modelling. We argue that the question which psychological bias should be incorporated into a model does not depend on a specific informational setting but solely on the specific task considered. This Paper demonstrates that a theorist has to be careful when deriving assumptions about the behaviour of agents in financial markets from psychological findings.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
3904.
Find related papers by JEL classification: C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Nicholas Barberis & Andrei Shleifer & Robert W. Vishny, 1997.
"A Model of Investor Sentiment,"
NBER Working Papers
5926, National Bureau of Economic Research, Inc.
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