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Academic performance and financial forecasting performance:A survey study

Dan Zhu, Lynn Hodgkinson and Qingwei Wang

Journal of Behavioral and Experimental Finance, 2018, vol. 20, issue C, 45-51

Abstract: In a survey of forecasting stock prices over 13 months, we find better academic performance is significantly associated with smaller absolute forecasting errors, a lower propensity to be overconfident and narrower prediction intervals. The latter two findings are surprising as one would expect that less overconfident forecasters are more likely to make wider prediction intervals. Such superior forecasting ability of good academic performers may help explain why smart investors perform better in financial markets.

Keywords: Academic performance; Forecasting errors; Prediction intervals; Overconfidence (search for similar items in EconPapers)
JEL-codes: C9 G1 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1016/j.jbef.2018.07.002

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Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber

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