International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Dynamics of Behavioral Finance on Stock Investment Decisions – a Study
| Author(s) | Prof. Rajender Katla, Mr. Chindam Ramesh |
|---|---|
| Country | India |
| Abstract | This study investigates the dynamics of behavioral finance and its influence on stock investment decisions, highlighting how psychological biases shape investor behavior in volatile markets. Drawing upon established theories and empirical evidence, the research identifies key biases—overconfidence, loss aversion, herd behavior, anchoring, optimism, and representativeness—as critical determinants of investment choices. A quantitative methodology was employed, using a structured questionnaire administered to 100 active investors, with data analyzed through descriptive and inferential statistics including t tests, ANOVA, correlation, and regression. Findings reveal that loss aversion and optimism bias are the most dominant influences, while herd behavior is comparatively weaker. Demographic factors such as age and education significantly moderate bias expression, with younger investors exhibiting stronger herd tendencies and higher education correlating with reduced anchoring. Investment behavior patterns show a preference for equities and mutual funds, moderate diversification, and increasing reliance on online platforms and self directed research. Regression analysis indicates that overconfidence positively predicts perceived performance, whereas loss aversion negatively impacts it. Overall, the study concludes that while investors are optimistic and increasingly independent, psychological biases continue to drive decision making, underscoring the need for enhanced financial literacy and investor education programs to foster rational, long term investment strategies. |
| Keywords | Behavioral Finance, Stock Investment Decisions, Investor Biases, Loss Aversion, Overconfidence |
| Field | Business Administration |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-12-24 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.64278 |
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E-ISSN 2582-2160
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