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Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †

Yang and Qiu proposed and reframed an expected utility–entropy (EU-E) based decision model. Later on, a similar numerical representation for a risky choice was axiomatically developed by Luce et al. under the condition of segregation. Recently, we established a fund rating approach based on the EU-E...

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Autores principales: Chiew, Daniel, Qiu, Judy, Treepongkaruna, Sirimon, Yang, Jiping, Shi, Chenxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072692/
https://www.ncbi.nlm.nih.gov/pubmed/33919622
http://dx.doi.org/10.3390/e23040481
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author Chiew, Daniel
Qiu, Judy
Treepongkaruna, Sirimon
Yang, Jiping
Shi, Chenxiao
author_facet Chiew, Daniel
Qiu, Judy
Treepongkaruna, Sirimon
Yang, Jiping
Shi, Chenxiao
author_sort Chiew, Daniel
collection PubMed
description Yang and Qiu proposed and reframed an expected utility–entropy (EU-E) based decision model. Later on, a similar numerical representation for a risky choice was axiomatically developed by Luce et al. under the condition of segregation. Recently, we established a fund rating approach based on the EU-E decision model and Morningstar ratings. In this paper, we apply the approach to US mutual funds and construct portfolios using the best rating funds. Furthermore, we evaluate the performance of the fund ratings based on the EU-E decision model against Morningstar ratings by examining the performance of the three models in portfolio selection. The conclusions show that portfolios constructed using the ratings based on the EU-E models with moderate tradeoff coefficients perform better than those constructed using Morningstar. The conclusion is robust to different rebalancing intervals.
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spelling pubmed-80726922021-04-27 Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach † Chiew, Daniel Qiu, Judy Treepongkaruna, Sirimon Yang, Jiping Shi, Chenxiao Entropy (Basel) Article Yang and Qiu proposed and reframed an expected utility–entropy (EU-E) based decision model. Later on, a similar numerical representation for a risky choice was axiomatically developed by Luce et al. under the condition of segregation. Recently, we established a fund rating approach based on the EU-E decision model and Morningstar ratings. In this paper, we apply the approach to US mutual funds and construct portfolios using the best rating funds. Furthermore, we evaluate the performance of the fund ratings based on the EU-E decision model against Morningstar ratings by examining the performance of the three models in portfolio selection. The conclusions show that portfolios constructed using the ratings based on the EU-E models with moderate tradeoff coefficients perform better than those constructed using Morningstar. The conclusion is robust to different rebalancing intervals. MDPI 2021-04-18 /pmc/articles/PMC8072692/ /pubmed/33919622 http://dx.doi.org/10.3390/e23040481 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chiew, Daniel
Qiu, Judy
Treepongkaruna, Sirimon
Yang, Jiping
Shi, Chenxiao
Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †
title Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †
title_full Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †
title_fullStr Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †
title_full_unstemmed Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †
title_short Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach †
title_sort performance of portfolios based on the expected utility-entropy fund rating approach †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072692/
https://www.ncbi.nlm.nih.gov/pubmed/33919622
http://dx.doi.org/10.3390/e23040481
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