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Expected Frequencies in Goodness-of-Fit Tests01:19

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Related Experiment Video

Updated: Nov 7, 2025

Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method
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Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach.

Daniel Chiew1, Judy Qiu1, Sirimon Treepongkaruna1

  • 1Business School, The University of Western Australia, Perth 6009, Australia.

Entropy (Basel, Switzerland)
|April 30, 2021
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Summary
This summary is machine-generated.

This study introduces an expected utility-entropy (EU-E) decision model for fund rating, outperforming traditional Morningstar ratings in portfolio selection. Portfolios built with EU-E rated funds demonstrated superior performance, showing robustness across various rebalancing intervals.

Keywords:
expected utility–entropyfund ratingperformanceportfoliorisk

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Area of Science:

  • Decision Theory
  • Financial Portfolio Management
  • Quantitative Finance

Background:

  • The expected utility-entropy (EU-E) decision model was proposed by Yang and Qiu.
  • Luce et al. developed a similar numerical representation for risky choices.
  • A novel fund rating approach was recently established, integrating the EU-E model with Morningstar ratings.

Purpose of the Study:

  • To apply the EU-E based fund rating approach to US mutual funds.
  • To construct investment portfolios using top-rated funds identified by the EU-E model.
  • To evaluate and compare the performance of EU-E based ratings against Morningstar ratings in portfolio selection.

Main Methods:

  • Application of the EU-E decision model to rate US mutual funds.
  • Portfolio construction utilizing funds with the highest EU-E ratings.
  • Comparative performance analysis of portfolios derived from EU-E ratings versus Morningstar ratings.

Main Results:

  • Portfolios constructed using EU-E model ratings with moderate tradeoff coefficients exhibited superior performance compared to those using Morningstar ratings.
  • The enhanced performance of EU-E based portfolios was consistent across different portfolio rebalancing intervals.

Conclusions:

  • The EU-E decision model provides a more effective framework for fund rating and portfolio selection than Morningstar ratings.
  • The findings suggest that incorporating entropy into expected utility calculations can lead to improved investment strategies.