The dynamics of investor behaviour in ESG funds: An analysis of performance, market trends, and investor sentiments
Author(s): Smriti Shrivastava and Pavan Mishra
Abstract: This research compares ESG funds and customary investments over the past five years, examining their investment strategies and investor behaviour. This study uses a thorough quantitative approach that incorporates wide-ranging historical financial data, many transaction volumes, and several advanced forecasting techniques, including regression analysis and ARIMA models.
ESG funds show competitive and often superior, risk-adjusted returns and they compare favourably to customary funds. Further analysis suggests large daily trading volumes do not greatly influence ESG fund prices. This indicates a prevalence of long-term investment strategies within the ESG sector. Although highly advanced predictive models suggest a continuation of substantially strong performance for ESG investments, their natural inaccuracies necessitate a cautiously optimistic outlook.
Based on these important findings, the paper suggests that investors substantially diversify their portfolios with ESG funds to achieve improved diversification and potentially increase investment returns. It also supports having enough fund managers to improve transparency and promote educational programs on the advantages of ESG investing. The study recommends that regulators considerably increase ESG investing by implementing encouraging policies and consistent procedures.
This research strongly implies an important need for substantially more study on how meaningful global economic factors affect ESG fund performance and a greatly deeper analysis of investor demographics is important to optimise ESG fund offerings.
DOI: 10.22271/multi.2025.v7.i5a.684Pages: 48-54 | Views: 114 | Downloads: 51Download Full Article: Click Here
How to cite this article:
Smriti Shrivastava, Pavan Mishra.
The dynamics of investor behaviour in ESG funds: An analysis of performance, market trends, and investor sentiments. Int J Multidiscip Trends 2025;7(5):48-54. DOI:
10.22271/multi.2025.v7.i5a.684