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MACHINE LEARNING MODELS FOR ANALYZING INVESTOR DECISION-MAKING IN EQUITY MARKETS: AN EMPIRICAL STUDY

AUTHORS:
Ambika.D
Kapirli Harshitha
K.V. Hema Siri Chandana
D. Sreekanth
A.G.Yogeeswar Sai
Mentor
Dr. Venkatesh.D
Affiliation
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The behavioral factors shaping equity investment decisions, focusing on trade dynamics, essential marketing, financial health, risk tolerance, psychological biases, and social media influence. This study examines how behavioral biases influence the investment decision-making. The investors decision is main influencing factor is economic environment of individuals. Stock markets are often seen as a reflection of the country’s economic health, where changes in macroeconomic conditions can lead to fluctuations in stock prices, investor sentiment, and market stability. The main purpose of this study is to determine the factors influencing investors decision-making and to analyze the impact of cognitive biases on trading behavior, volatility, market returns and portfolio selection. Stock market performance is essential for investors, policymakers, and economists alike, as it provides valuable insights into market behavior, investment strategies, and        economic forecasting. Recent advances in machine learning provide powerful tools to analyze such complexities by modeling high-dimensional and nonlinear relationships in financial data. This study empirically applies machine learning models to examine investor decision-making in equity markets, comparing their predictive performance and ability to identify key behavioral factors. The findings contribute to behavioral finance literature and offer practical insights for investors and market participants.

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Ambika.D, , Harshitha, K., Chandana, K. H. S., Sreekanth, D. & Sai, A. (2026). Machine Learning Models for Analyzing Investor Decision-Making in Equity Markets: An Empirical Study. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.249

Ambika.D, , et al.. "Machine Learning Models for Analyzing Investor Decision-Making in Equity Markets: An Empirical Study." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.249.

Ambika.D, ,Kapirli Harshitha,K.V. Chandana,D. Sreekanth, and A.G.Yogeeswar Sai. "Machine Learning Models for Analyzing Investor Decision-Making in Equity Markets: An Empirical Study." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.249.

References
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