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...
Main Authors: | , , , , |
---|---|
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 |
id |
doaj-16635fc4f25f421f9a9ef6be0fd39911 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT danielchiew thepredictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT judyqiu thepredictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT sirimontreepongkaruna thepredictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT jipingyang thepredictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT chenxiaoshi thepredictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT danielchiew predictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT judyqiu predictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT sirimontreepongkaruna predictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT jipingyang predictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus AT chenxiaoshi predictiveabilityoftheexpectedutilityentropybasedfundratingapproachacomparisoninvestigationwithmorningstarratingsinus |
_version_ |
1714820858146455552 |