 A data-driven approach to unlocking the potential of equity mutual funds for retail investors: an analysis based on expert insightsSenthil Arasu Balasubramanian, Rajesh Jeyaprakash and G. Citybabu International Journal of Process Management and Benchmarking, 2026, vol. 22, issue 4, 401-427 Abstract: This study aims to develop a hybrid model based on both expert insights and data-driven approaches. To establish an optimal selection process, the study adopted VIKOR model. The significance of both models was validated through Spearman's correlation and buy-and-hold strategies under market-adjusted equity mutual fund performance. The study emphasises the significance of scheme-level information in fund selection, along with crucial performance metrics like one-month return, Sharpe ratio, and Jensen alpha. Through the developed hybrid model, the top-performing funds were identified from a pool of 145 equity funds. These findings are validated and recommended to retail investors across five categories, ranging from strongly recommended to not recommended, based on market-adjusted performance. The study results help retail investors select and invest in equity mutual funds by combining experts' insights and data-based hybrid VIKOR model. Keywords: performance metrics; equity mutual funds; entropy method VIKOR model; investment decision-making. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpmbe:v:22:y:2026:i:4:p:401-427 Access Statistics for this article More articles in International Journal of Process Management and Benchmarking from Inderscience Enterprises Ltd |
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