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Neutrosophic Sets and Systems
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Performance Evaluation of Mutual Funds Via Single Valued Neutrosophic Set (SVNS) Perspective: A Case Study in Turkey

Authors: Altınırmak, Serpil; Gül, Yavuz; Okoth, Basil Oluoch; Karamasa, Çağlar;

Performance Evaluation of Mutual Funds Via Single Valued Neutrosophic Set (SVNS) Perspective: A Case Study in Turkey

Abstract

The aim of this study was to use the Single-Valued Neutrosophic Set (SVNS) to analyze 58 mutual funds, traded at the Istanbul Stock Exchange, under incomplete, indeterminate and inconsistent information. To this end, the performance of the funds was first evaluated using the most commonly preferred criteria like the Morningstar rating, Sharpe ratio, Treynor ratio, and Jensen ratio. Following these criteria, SVNS based entropy was used to rank the funds. The results of the entropy weights revealed Morningstar rating to be the most important evaluation criterion followed by Treynor, Sharpe and Jensen ratios respectively. Yapi Kredi Asset Management Foreign Technology Sector Equity Fund was found to be the most successful fund, while Is Asset Management BIST Technology Capped Index Share Fund (Equity Intensive) Fund was the least successful fund.

WOS: 000461278300009

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Turkey
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Keywords

Single valued neutrosophic set based entropy, Performance Evaluation, Neutrosophic Set, Single Valued Neutrosophic Set Based Entropy, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Mathematics, Mutual Funds

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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