Normalized Expected Utility-Entropy Measure of Risk

Yang and Qiu proposed an expected utility-entropy (EU-E) measure of risk, which reflects an individual’s intuitive attitude toward risk. Luce et al. have derived the numerical representations under behavioral axioms about preference orderings among gambles and their joint receipt, which further demo...

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Main Authors: Jiping Yang, Wanhua Qiu
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/16/7/3590
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spelling doaj-be59066d6c0a4663a20baa4920baa37e2020-11-24T23:02:46ZengMDPI AGEntropy1099-43002014-06-011673590360410.3390/e16073590e16073590Normalized Expected Utility-Entropy Measure of RiskJiping Yang0Wanhua Qiu1School of Economics and Management, Beihang University, Beijing 100191, ChinaSchool of Economics and Management, Beihang University, Beijing 100191, ChinaYang and Qiu proposed an expected utility-entropy (EU-E) measure of risk, which reflects an individual’s intuitive attitude toward risk. Luce et al. have derived the numerical representations under behavioral axioms about preference orderings among gambles and their joint receipt, which further demonstrates the reasonability of the EU-E decision model as a normative one. In the paper, combining normalized expected utility and entropy together, we improve the EU-E measure of risk and decision model, and then propose the normalized EU-E measure of risk and decision model. The normalized EU-E measure of risk has some normative properties under certain conditions. Moreover, the normalized EU-E decision model can be a proper descriptive model to some extent. Using this model, two cases of common ratio effect and common consequence effect, which are the examples of certainty effects, can be explained in an intuitive way.http://www.mdpi.com/1099-4300/16/7/3590risknormalized expected utilitynormalized entropycertainty effectcommon ratio effectcommon consequence effect
collection DOAJ
language English
format Article
sources DOAJ
author Jiping Yang
Wanhua Qiu
spellingShingle Jiping Yang
Wanhua Qiu
Normalized Expected Utility-Entropy Measure of Risk
Entropy
risk
normalized expected utility
normalized entropy
certainty effect
common ratio effect
common consequence effect
author_facet Jiping Yang
Wanhua Qiu
author_sort Jiping Yang
title Normalized Expected Utility-Entropy Measure of Risk
title_short Normalized Expected Utility-Entropy Measure of Risk
title_full Normalized Expected Utility-Entropy Measure of Risk
title_fullStr Normalized Expected Utility-Entropy Measure of Risk
title_full_unstemmed Normalized Expected Utility-Entropy Measure of Risk
title_sort normalized expected utility-entropy measure of risk
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2014-06-01
description Yang and Qiu proposed an expected utility-entropy (EU-E) measure of risk, which reflects an individual’s intuitive attitude toward risk. Luce et al. have derived the numerical representations under behavioral axioms about preference orderings among gambles and their joint receipt, which further demonstrates the reasonability of the EU-E decision model as a normative one. In the paper, combining normalized expected utility and entropy together, we improve the EU-E measure of risk and decision model, and then propose the normalized EU-E measure of risk and decision model. The normalized EU-E measure of risk has some normative properties under certain conditions. Moreover, the normalized EU-E decision model can be a proper descriptive model to some extent. Using this model, two cases of common ratio effect and common consequence effect, which are the examples of certainty effects, can be explained in an intuitive way.
topic risk
normalized expected utility
normalized entropy
certainty effect
common ratio effect
common consequence effect
url http://www.mdpi.com/1099-4300/16/7/3590
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AT wanhuaqiu normalizedexpectedutilityentropymeasureofrisk
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