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Erschienen in: Journal of Intelligent Manufacturing 3/2017

07.12.2014

Uncertain risk aversion

verfasst von: Jian Zhou, Yuanyuan Liu, Xiaoxia Zhang, Xin Gu, Di Wang

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 3/2017

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Abstract

This paper discusses the risk aversion within the framework of the uncertainty theory (Liu in Uncertainty theory: A branch of mathematics for modeling human uncertainty. Springer, Berlin, 2010b), and introduces the notions of uncertain expected utility and uncertain risk premium. In terms of the Arrow–Pratt index, an uncertain version of Pratt’s theorem is proved, which offers an effective way to make comparisons between different individuals’ risk-averse attitudes. We suggest that uncertain risk aversion can be used to measure human’s risk-averse attitudes when uncertainty exists due to lack of the observed data, just as probabilistic risk aversion when sufficient data can be obtained. Uncertain risk aversion provides an alternative method to compare the risk aversions between individuals under uncertain situations.

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Metadaten
Titel
Uncertain risk aversion
verfasst von
Jian Zhou
Yuanyuan Liu
Xiaoxia Zhang
Xin Gu
Di Wang
Publikationsdatum
07.12.2014
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 3/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-014-1013-5

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