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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67855

Impact of behavioral Biases,Digital Media and Financial Literacy as Joint Determinants of Investment Decisions among Generation Z in India

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67855

Volume:

10 |

10 |

Oct 2026

Pages:

1-14

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67855

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SNEHA VENI MAADU

SNEHA VENI MAADU

Bachelor of Business Administration

KLEF

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Mentors

YD

Y.Kanaka Durga

Bachelor of Business Administration

KLEF

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Abstract

Purpose: This paper explores how behavioural biases (herding, overconfidence, loss aversion, mental accounting and fear of missing out), digital media exposure (social media usage, finfluencer influence and digital investment platforms) and financial literacy jointly influence the investment decisions of Generation Z investors in India, and tests whether financial literacy moderates the bias–decision relationship. Design/methodology: Primary data were collected using a five-point Likert-scale structured questionnaire administered online between 12 and 25 September 2026. After removing 72 exact duplicate submissions from the raw export of results, 24 unique respondents remained. The data were analysed in Microsoft Excel, using reliability analysis, chi-square tests, one-way ANOVA and multiple linear regression, including an interaction model; and in Python, using the same statistical tests. Findings: Behavioural biases were the only significant predictor of investment decisions in the joint model (β = 0.82, p = 0.002); the joint model explained 50.5% of the variance (F = 6.79, p = 0.002). Digital media exposure did not significantly predict decisions on its own (R² = 0.194, p = 0.219), and financial literacy neither had a significant direct effect nor significantly moderated the effect of biases. None of the demographic factors was significantly associated with investment decisions in chi-square tests, and the only significant ANOVA result (occupation) was due to a two-person group. Implications: The results are exploratory due to the small sample, but they suggest that interventions should focus on behavioural awareness rather than on product knowledge. Originality: The analysis brings together behavioural, digital and literacy-related explanations in a single framework for India’s Generation Z.

KEYWORDS

Behavioural finance; Behavioural biases; Digital media; Finfluencers; Financial literacy; Investment decisions; Generation Z; India.

Cite This Article

SNEHA VENI MAADU, Y.Kanaka Durga, "Impact of behavioral Biases,Digital Media and Financial Literacy as Joint Determinants of Investment Decisions among Generation Z in India," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-14, Oct 2026. https://doi.org/10.55041/IJSREM67855

Full Article/Conclusion

This study examined how behavioural biases, digital media exposure and financial literacy are related to the investment decisions of Generation Z investors in India, using 24 unique survey responses. Behavioural biases emerged as the main correlate of investment decisions: the joint model explained 50.5% of the variance and only biases were significant within it, with herding the one bias that stood out individually. Digital media exposure and financial literacy were not significant predictors when their effects were tested, and literacy did not significantly moderate the influence of biases. Investment decisions did not differ meaningfully by demographic group. Given the small sample, low scale reliability and the failure of an alternative outcome to reproduce the bias effect, the findings should be viewed as preliminary evidence that motivates a larger, better-instrumented study. Overall, the study adds to behavioural finance evidence from an emerging market by treating psychological, digital and knowledge-based influences within one framework for the investors who will shape India’s capital markets over the coming decades.

References

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications. Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817. Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), 773–806. Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of Economics, 116(1), 261–292. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. Bikhchandani, S., & Sharma, S. (2001). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310. Chen, G., Kim, K. A., Nofsinger, J. R., & Rui, O. M. (2007). Trading performance, disposition effect, overconfidence, representativeness bias, and experience of emerging market investors. Journal of Behavioral Decision Making, 20(4), 425–451. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates. Fisher, R. A. (1925). Statistical methods for research workers. Oliver and Boyd. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

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Publication Date

10/12/2026

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