Can Information Alleviate Overconfidence? A Randomized Experiment on Financial Market Predictions

Autor: Takanori Ida, Ryo Okui
Rok vydání: 2019
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.3467894
Popis: In this study, we examine how information provision affects the degree of overconfidence using an online experiment. The 4,210 experimental participants engaged in stock market prediction exercises were asked to evaluate their absolute and relative performance. We conducted a randomized controlled trial such that randomly selected participants obtained information about their own performance and/or the distribution of others’ performances before evaluating their performances. We find that while participants exhibit overconfidence bias, this can be alleviated by information provision and that the effect of the elimination of overconfidence is stronger when only partial information, rather than complete information, is provided. Further, the results indicate that the mere provision of information, even if it is consistent with prior beliefs, decreases the degree of overconfidence.
Databáze: OpenAIRE