Navigating the Digital Noise: A Primary Data Survey on Behavioural Drivers Effects on Individual Investment Behavior in Emerging Markets

Authors

  • Sandip Bhattacharyya Research Scholar, Department of Commerce, University of Calcutta, Kolkata, West Bengal, India

DOI:

https://doi.org/10.54741/MJAR/6.1.2026.280

Keywords:

behavioural biases, financial literacy, investment decisions, herding behavior, loss aversion

Abstract

This research paper explores how financial literacy of retail investors and behavioural biasness may influence individual’s portfolio investment decisions. The biasness in behavioural activities include herding behavior, overconfidence and probable losses of aversion. Financial literacy represents knowledge of finance and financial market functioning. The study also considers age and demographic factors of the respondents. The research aims to examine which factors may properly predict investment decisions and how knowledge can reduce biasness in investment. A total of eighty (80) retail investors participated. In this paper through structured questionnaires, data were collected. The data analysis included descriptive statistics, reliability tests, correlations, ANOVA and multiple regression.

In this research article Descriptive statistics showed Investor’s moderate herding behavior, overconfidence, and loss aversion. Financial literacy and investment decisions are having higher mean values. Reliability tests confirmed all construct variables are consistent and dependable. Analysis of Correlation demonstrates that strong positive linkage in between financial literacy and investment decisions of retail investors. The probable aversion of losses has a negative relationship. ANOVA indicates significant differences in investment decisions across age groups. Age affects the influence of biases. Multiple regression identifies financial literacy as the strongest predictor. Loss aversion negatively influences investment decisions of investors. Collecting behavior of Investors’ and overconfidence are the contributing factors but not a noteworthy predictor. Multicollinearity tests indicated no biasness in variables. Test of Residuals confirms that there is no autocorrelation.

The study concludes that knowledge and awareness improve to predict trend in financial market investment decisions. The most important factors such as investors’ education and creating awareness. Stock market regulators can use these perspectives to frame market policies that reduce market volatility. Financial experts can provide guidance tailored to psychological tendencies.

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References

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Published

2026-02-28
CITATION
DOI: 10.54741/MJAR/6.1.2026.280
Published: 2026-02-28

How to Cite

Bhattacharyya, S. (2026). Navigating the Digital Noise: A Primary Data Survey on Behavioural Drivers Effects on Individual Investment Behavior in Emerging Markets. Management Journal for Advanced Research, 6(1), 40–47. https://doi.org/10.54741/MJAR/6.1.2026.280