According to the behavioral finance theory, agents act coherently with the Kahneman and Tversky prospect paradigms and may violate those dictated by the rational expected utility. From the point of view of real financial markets’ applications, a key question concerns how to eliciting the financial professionals’ risk preferences. In this contribution we propose the benchmarking procedure originally set up by Castagnoli & LiCalzi (1996) and Bordley & LiCalzi (2000) that couples sound axiomatic fundamentals with a user-friendly language. According to the benchmarking modelling, to maximizing the expected cardinal utility is equivalent to maximizing the probability to meet a (uncertain) goal. It follows that the subjective preferences under risk can be expressed in terms of the probability of matching financial benchmarks. Since practitioners may feel more comfortable in answering questions involving perceived probability of meeting commitments than expressing preferences on lotteries’ outcomes, the use of the benchmarking modelling is expected to reduce inconsistency in questionnaires.

Behavioral Finance: a user-oriented procedure to assessing preferences under risk

TIBILETTI, Luisa;UBERTI, Mariacristina
2014

Abstract

According to the behavioral finance theory, agents act coherently with the Kahneman and Tversky prospect paradigms and may violate those dictated by the rational expected utility. From the point of view of real financial markets’ applications, a key question concerns how to eliciting the financial professionals’ risk preferences. In this contribution we propose the benchmarking procedure originally set up by Castagnoli & LiCalzi (1996) and Bordley & LiCalzi (2000) that couples sound axiomatic fundamentals with a user-friendly language. According to the benchmarking modelling, to maximizing the expected cardinal utility is equivalent to maximizing the probability to meet a (uncertain) goal. It follows that the subjective preferences under risk can be expressed in terms of the probability of matching financial benchmarks. Since practitioners may feel more comfortable in answering questions involving perceived probability of meeting commitments than expressing preferences on lotteries’ outcomes, the use of the benchmarking modelling is expected to reduce inconsistency in questionnaires.
Political Sciences, Law, Finance, Economics And Tourism
STEF92 Technology Ltd.
II
75
79
9786197105261
http://www.sgemsocial.org/
Prospect Theory, Behavioral Finance, Value function assessment, Loss aversion, Benchmarking procedure.
Bordley Robert; Tibiletti Luisa; Uberti Mariacristina
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/149442
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