Performance of Machine Learning Algorithms to Predict Right Mutual Funds of Indian Companies

Kanade, Anuradha; Sherdiwala, Mehul; Sherekar, Saurabh

doi:10.1007/978-3-030-96634-8_3

Studies in Computational Intelligence

2022

DOI: 10.1007/978-3-030-96634-8_3

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Performance of Machine Learning Algorithms to Predict Right Mutual Funds of Indian Companies

Anuradha Kanade

Mehul Sherdiwala

Saurabh Sherekar

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2024

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Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning

Momparler,

Carmona,

Climent

2024

Comput Econ

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In today’s dynamic financial landscape, the integration of environmental, social, and governance (ESG) principles into investment strategies has gained great significance. Investors and financial advisors are increasingly confronted with the crucial question of whether their dedication to ESG values enhances or hampers their pursuit of financial performance. Addressing this crucial issue, our research delves into the impact of ESG ratings on financial performance, exploring a cutting-edge machine learning approach powered by the Extreme Gradient algorithm. Our study centers on US-registered equity funds with a global investment scope, and performs a cross-sectional data analysis for annualized fund returns for a five-year period (2017–2021). To fortify our analysis, we synergistically amalgamate data from three prominent mutual fund databases, thereby bolstering data completeness, accuracy, and consistency. Through thorough examination, our findings substantiate the positive correlation between ESG ratings and fund performance. In fact, our investigation identifies ESG score as one of the dominant variables, ranking among the top five with the highest predictive capacity for mutual fund performance. As sustainable investing continues to ascend as a central force within financial markets, our study underscores the pivotal role that ESG factors play in shaping investment outcomes. Our research provides socially responsible investors and financial advisors with valuable insights, empowering them to make informed decisions that align their financial objectives with their commitment to ESG values.

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Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning

Momparler,

Carmona,

Climent

2024

Comput Econ

View full text Add to dashboard Cite

show abstract

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Performance of Machine Learning Algorithms to Predict Right Mutual Funds of Indian Companies

Cited by 1 publication

References 4 publications

Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning

Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning

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