The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.

In this paper, we propose an alternative fund rating approach based on the Expected Utility-Entropy (EU-E) decision model, in which the measure of risk for a risky action was axiomatically developed by Luce et al. We examine the ability of this approach as an alternative fund rating approach for its...

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Main Authors: Daniel Chiew, Judy Qiu, Sirimon Treepongkaruna, Jiping Yang, Chenxiao Shi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0215320
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spelling doaj-16635fc4f25f421f9a9ef6be0fd399112021-03-03T20:43:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01144e021532010.1371/journal.pone.0215320The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.Daniel ChiewJudy QiuSirimon TreepongkarunaJiping YangChenxiao ShiIn this paper, we propose an alternative fund rating approach based on the Expected Utility-Entropy (EU-E) decision model, in which the measure of risk for a risky action was axiomatically developed by Luce et al. We examine the ability of this approach as an alternative fund rating approach for its ability to potentially mitigate the drawbacks of the risk measure used in Morningstar ratings, and investigate the ability of the EU-E model based and Morningstar ratings to predict mutual fund performance. Overall, we find that the risk measure used in both models plays a defining role in their ability to predict future fund performance, and that the EU-E model can effectively consider the behavioral decisions of an investor.https://doi.org/10.1371/journal.pone.0215320
collection DOAJ
language English
format Article
sources DOAJ
author Daniel Chiew
Judy Qiu
Sirimon Treepongkaruna
Jiping Yang
Chenxiao Shi
spellingShingle Daniel Chiew
Judy Qiu
Sirimon Treepongkaruna
Jiping Yang
Chenxiao Shi
The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
PLoS ONE
author_facet Daniel Chiew
Judy Qiu
Sirimon Treepongkaruna
Jiping Yang
Chenxiao Shi
author_sort Daniel Chiew
title The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
title_short The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
title_full The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
title_fullStr The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
title_full_unstemmed The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
title_sort predictive ability of the expected utility-entropy based fund rating approach: a comparison investigation with morningstar ratings in us.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description In this paper, we propose an alternative fund rating approach based on the Expected Utility-Entropy (EU-E) decision model, in which the measure of risk for a risky action was axiomatically developed by Luce et al. We examine the ability of this approach as an alternative fund rating approach for its ability to potentially mitigate the drawbacks of the risk measure used in Morningstar ratings, and investigate the ability of the EU-E model based and Morningstar ratings to predict mutual fund performance. Overall, we find that the risk measure used in both models plays a defining role in their ability to predict future fund performance, and that the EU-E model can effectively consider the behavioral decisions of an investor.
url https://doi.org/10.1371/journal.pone.0215320
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