Author(s)

Yuduo Ma ¹

Affiliation(s)

¹ The University of New South Wales (UNSW), New South Wales, Sydney, Australia

Corresponding Author

Yuduo Ma

ABSTRACT

The phenomenon of college students engaging in investment and financial management is becoming increasingly common. However, this group lacks a stable source of income, making them susceptible to various irrational factors that can hinder their ability to make independent financial decisions, leading to unpredictable investment risks. This article, from the perspective of behavioral finance theory, utilizes questionnaire surveys and logistic regression models to analyze the process influencing investment and financial management among Chinese college students. The study reveals that in making investment and financial decisions, college students exhibit dual biases at both cognitive and behavioral levels. These biases include representativeness heuristic bias, emotional heuristic bias, mental accounting, loss aversion, and confirmation bias, but the herd effect of blindly following others is relatively weak. The empirical research contributes to our understanding of the formation of psychological biases in market investors and their impact on decision-making within an Eastern cultural context. Furthermore, it offers practical recommendations for college students on how to avoid falling into investment pitfalls.

KEYWORDS

Behavioral Finance, College Students, Investment and Financial Management, Cognitive Bias, Behavioral Bias, Herd Effect

CITE THIS PAPER

Yuduo Ma, Research on the Investment and Financial Management Tendency of College Students from the Perspective of Behavioral Finance. Financial Engineering and Risk Management (2023) Vol. 6: 114-121. DOI: http://dx.doi.org/10.23977/ferm.2023.060915.

REFERENCES

[1] Asset Management Association of China et al. (2022). 2023 China University Student Fund Investment Survey White Paper. Retrieved from https://mp.weixin.qq.com/s/jMwIrxm-wdMd6urYawIAVg.
[2] Badola, D., Joshi, C. S., & Sneha, M. (2022). Individual Investors–Are they Emotionally Biased? Journal of Contemporary Issues in Business and Government, 28(4), 1470-1481.
[3] Shah, S. Z. A., Ahmad, M., & Mahmood, F. (2018). Heuristic biases in investment decision-making and perceived market efficiency: A survey at the Pakistan stock exchange. Qualitative Research in Financial Markets, 10(1), 85-110.
[4] Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 1124-1131.
[5] Shiller, R. (2016). Irrational Exuberance. Princeton: Princeton University Press.
[6] Li, X., Wang, J., & Fu, H. (2002). Investigations on the Transaction Behaviors of Chinese Individual Securities Investors. Economic Research, (11), 54-63+94. 
[7] Wang, L., Zheng, X., Shi, J., & Liu, L. (2003). A Psychological Study of Chinese Stockholders’ Behavior. Psychological Science, 26(1), 19-22.
[8] Shi, Y., Li, Z., & Chen, W. (2009). Empirical Research on the Trading Behavior of Chinese Securities Investors. Financial Research, (11), 129-142.
[9] Fan, D., Liu, Z., Zhong, Y., & Zhang, Y. (2011). Journal of Southwest Agricultural University (Social Science Edition), 9(4), 13-17.
[10] Wang, Q., & Leng, B. (2015). Analysis of the Current Situation of Investment and Wealth Management for Wuhan University Students: An Empirical Study Based on Logit Model. Economic Research Guide, (6), 114-116. 
[11] Kahneman, D. (2011). Thinking, fast and slow. Macmillan.
[12] Pan, P. (2016). Research on College Students' Investment Deviation Based on Behavior Finance (Master's thesis, Lanzhou University).
[13] Volpe, R. P., Chen, H., & Pavlicko, J. J. (1996). Personal investment literacy among college students: A survey. Financial Practice and Education, 6(2), 86-94. 

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