This research aims to test the performance of 30 stock mutual funds. The data collection method uses a purposive sampling method. This research uses multiple linear regression, descriptive statistics, T test to test hypotheses, and uses classical assumption tests including normality tests, multicollinearity tests, heteroscedastic tests using the SPSS V23 program. The sample used in this research was the 30 best types of mutual funds during the 2021-2022 period. The performance of stock mutual funds is measured using the Traynor index method. Based on the results of the hypothesis test, it shows that the Asset Under Management variable has a positive and insignificant effect, Net Asset Value and Market Timing ability have a positive and significant effect, Brokerage Fees and Stock Selection have a negative and significant effect on the performance of stock mutual funds in making investment decisions.
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Ayah et al. (2024) studied this question.
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