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Clarifying managerial biases using a probabilistic framework

delete2020-09-01
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PRE
AI
P
Polina Ellina
B
Briance Mascarenhas
P
Panayiotis Theodossiou *
DOI:10.1016/j.jbef.2020.100333delete
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Abstract

Abstract

En 中文
A unifying probabilistic framework is developed to analyze and compare the impact of the psychological biases of overconfidence and underconfidence on managerial perceptions about the expected value, overall risk, downside risk, value-at-risk and expected shortfall of decision-making economic variables. The results depict that overconfident managers overestimate their expected values and underestimate downside risk, VaR and ES of decision-making variables. Underconfident managers, on the other hand, underestimate their expected values and overestimate downside risk, value-at-risk, and expected shortfall. (C) 2020 Elsevier B.V. All rights reserved.
Keywords:
Downside risk
Expected shortfall
Probability miscalibration
Psychological biases
Skewed normal distribution
Value-at-risk
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Journal

Journal of Behavioral and Experimental Finance cover
Journal of Behavioral and Experimental Finance
IF:
4.7
Papers:
691
Citations:
3.3K

Organization

R
rutgers university system
Scholars:
4.1W
Papers: 3.7W
Citations: 53
C
Cyprus University of Technology
Scholars:
2.1K
Papers: 2.1K
Citations: 2.6K