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Do financial professionals behave according to prospect theory? An experimental study

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TLDR
In this article, the authors investigated whether and to what extent this support generalizes to more naturally occurring circumstances and found that financial professionals behave according to prospect theory and violate expected utility maximization.
Abstract
Prospect theory is increasingly used to explain deviations from the traditional paradigm of rational agents. Empirical support for prospect theory comes mainly from laboratory experiments using student samples. It is obviously important to know whether and to what extent this support generalizes to more naturally occurring circumstances. This article explores this question and measures prospect theory for a sample of private bankers and fund managers. We obtained clear support for prospect theory. Our financial professionals behaved according to prospect theory and violated expected utility maximization. They were risk averse for gains and risk seeking for losses and their utility was concave for gains and (slightly) convex for losses. They were also averse to losses, but less so than commonly observed in laboratory studies and assumed in behavioral finance. A substantial minority focused on gains and largely ignored losses, behavior reminiscent of what caused the current financial crisis.

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Journal ArticleDOI

Rankings and Risk-Taking in the Finance Industry

TL;DR: This article found that both rankings and tournament incentives increase risk-taking among underperforming professionals, but not among students, and that rank-driven risk taking is robust to various experimental settings, including private identity priming and framing, and related to preferences for relative per-formance.
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The Effects of Key Audit Matters on the Auditor’s Report’s Communicative Value: Experimental Evidence from Investment Professionals and Non-professional Investors

TL;DR: In this article, the effect of key audit matters (KAM) in the auditor's report as required by the new ISA 701 is investigated, considering investment professionals and non-professional investors.
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Prospect Theory for Online Financial Trading

TL;DR: In this paper, a large-scale empirical analysis of 28.5 million trades made by 81.3 thousand traders of an online financial trading community over 28 months was conducted to explore the large scale empirical aspect of prospect theory.
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Using Framing Effects to Inform More Sustainable Infrastructure Design Decisions

TL;DR: To measure framing effects in engineering decisions, the Envision rating system for sustainable infrastructure is used, which aims to help the authors better understand how choice structures influence engineering decisions.
Journal ArticleDOI

Predicting Human Decision-Making: From Prediction to Action

TL;DR: The task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures is explored—from purely conflicting interaction settings to fully cooperative interaction settings.
References
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Journal ArticleDOI

An Index of Loss Aversion

TL;DR: The proposed index of loss aversion leads to a clear decomposition of risk attitude into three distinct components: basic utility, probability weighting, and loss aversion.
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A Parameter-Free Elicitation of the Probability Weighting Function in Medical Decision Analysis

TL;DR: In this paper, the modal probability weighting function is shown to be inverse S-shaped, displaying both lower sub-additivity and upper subadditivity at the boundaries of the unit interval.
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Do Behavioral Biases Affect Prices

TL;DR: This paper found that loss-averse traders are more likely to buy at higher prices and sell at lower prices than those that prevailed previously, and the market appears to distinguish these risk-seeking trades from informed trading.
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An Axiomatization of Cumulative Prospect Theory

TL;DR: In this paper, the authors present a method for axiomatizing a variety of models for decision making under uncertainty, including Expected Utility and Cumulative Prospect Theory, and identify situations that permit consistent inferences about the ordering of value differences.
Journal ArticleDOI

What Drives the Disposition Effect? An Analysis of a Long-Standing Preference-Based Explanation

Nicholas Barberis, +1 more
- 01 Apr 2009 - 
TL;DR: In this article, the authors investigate whether prospect theory preferences can predict the disposition effect in individual investor trading and find that the realized gain/loss model predicts a disposition effect more reliably than the annual gains and losses.
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