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Improving the Quality of Decision Making for Investors: A Research under Behavioral Finance and Psychology
- 1 University of Minnesota-Twin cities
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Abstract
Behavioral finance theory emerged as a response to concerns and shortcomings in existing financial theories, such as the Efficient Market Hypothesis (EMH) and the Capital Allocation Pricing Model (CAPM), by incorporating elements of human psychology and behavior into the framework of finance research. The major difference between behavioral finance and classical financial theory (such as CAPM and EMH) lie in their assumptions and interpretations of investor behavior, particularly on whether investors are indeed rational or not. To deal with these crucial issues that behavioral finance raises, investors must first acknowledge the presence of these issue, understand the notion of them and how they influence decision-making, and be aware that their decisions may alter depending on the source and use of money. This paper aims at understanding the key crucial concepts of behavioral finance and presenting several ways to deal with the behavioral finance related issues. Loss aversion, overconfidence and mental accounting will be examined in detail in this paper to explore the reason behind these phenomenon and present ways to deal with these issues.
Keywords
Behavioral finance, Reasons, Solutions, Loss aversion, Overconfidence, Mental account
[1]. Thaler, R. H. (1990). Anomalies: Saving, fungibility, and mental accounts. Journal of economic perspectives, 4(1), 193-205.
[2]. Abdellaoui, M., Bleichrodt, H., Paraschiv, C. (2007). Loss aversion under prospect theory: A parameter-free measurement. Management science, 53(10), 1659-1674.
[3]. Hardie, B. G., Johnson, E. J., Fader, P. S. (1993). Modeling loss aversion and reference dependence effects on brand choice. Marketing science, 12(4), 378-394.
[4]. Usher, M., McClelland, J. L. (2004). Loss aversion and inhibition in dynamical models of multialternative choice. Psychological review, 111(3), 757.
[5]. Rabin, M., Thaler, R. H. (2001). Anomalies: risk aversion. Journal of Economic perspectives, 15(1), 219-232.
[6]. Novemsky, N., Kahneman, D. (2005). The boundaries of loss aversion. Journal of Marketing research, 42(2), 119-128.
[7]. Thaler, R. H., Tversky, A., Kahneman, D., Schwartz, A. (1997). The effect of myopia and loss aversion on risk taking: An experimental test. The quarterly journal of economics, 112(2), 647-661.
[8]. Haigh, M. S., List, J. A. (2005). Do professional traders exhibit myopic loss aversion? An experimental analysis. The Journal of Finance, 60(1), 523-534.
[9]. Tom, S. M., Fox, C. R., Trepel, C., Poldrack, R. A. (2007). The neural basis of loss aversion in decision-making under risk. Science, 315(5811), 515-518.
[10]. Köbberling, V., Wakker, P. P. (2005). An index of loss aversion. Journal of Economic Theory, 122(1), 119-131.
[11]. Sokol-Hessner, P., Hsu, M., Curley, N. G., Delgado, M. R., Camerer, C. F., Phelps, E. A. (2009). Thinking like a trader selectively reduces individuals' loss aversion. Proceedings of the National Academy of Sciences, 106(13), 5035-5040.
[12]. Malmendier, U., Tate, G. (2005). Does overconfidence affect corporate investment? CEO overconfidence measures revisited. European financial management, 11(5), 649-659.
[13]. Neale, M. A., Bazerman, M. H. (1985). The effects of framing and negotiator overconfidence on bargaining behaviors and outcomes. Academy of Management Journal, 28(1), 34-49.
[14]. Hribar, P., Yang, H. (2016). CEO overconfidence and management forecasting. Contemporary accounting research, 33(1), 204-227.
[15]. Kyle, A. S., Wang, F. A. (1997). Speculation duopoly with agreement to disagree: Can overconfidence survive the market test?. The Journal of Finance, 52(5), 2073-2090.
[16]. Soll, J. B., Klayman, J. (2004). Overconfidence in interval estimates. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(2), 299.
[17]. Brown, R., Sarma, N. (2007). CEO overconfidence, CEO dominance and corporate acquisitions. Journal of Economics and business, 59(5), 358-379.
[18]. Gervais, S., Heaton, J. B., Odean, T. (2011). Overconfidence, compensation contracts, and capital budgeting. The Journal of Finance, 66(5), 1735-1777.
[19]. Ahmed, A. S., Duellman, S. (2013). Managerial overconfidence and accounting conservatism. Journal of accounting research, 51(1), 1-30.
[20]. Anderson, C., Brion, S., Moore, D. A., Kennedy, J. A. (2012). A status-enhancement account of overconfidence. Journal of personality and social psychology, 103(4), 718.
[21]. Ortoleva, P., Snowberg, E. (2015). Overconfidence in political behavior. American Economic Review, 105(2), 504-535.
[22]. Duxbury, D., Keasey, K., Zhang, H., Chow, S. L. (2005). Mental accounting and decision making: Evidence under reverse conditions where money is spent for time saved. Journal of economic psychology, 26(4), 567-580.
[23]. Winnett, A., Lewis, A. (1995). Household accounts, mental accounts, and savings behaviour: Some old economics rediscovered?. Journal of Economic Psychology, 16(3), 431-448.
[24]. Xiao, J. J., Olson, G. I. (1993). Mental accounting and saving behavior. Home Economics Research Journal, 22(1), 92-109.
[25]. Shefrin, H., Statman, M. (2000). Behavioral portfolio theory. Journal of financial and quantitative analysis, 35(2), 127-151.
[26]. Cheema, A., Soman, D. (2006). Malleable mental accounting: The effect of flexibility on the justification of attractive spending and consumption decisions. Journal of Consumer Psychology, 16(1), 33-44.
[27]. Das, S. R., Statman, M. (2009). Beyond mean-variance: portfolios with derivatives and non-normal returns in mental accounts. Available at SSRN 1782309.
[28]. Alexander, G. J., Baptista, A. M. (2011). Portfolio selection with mental accounts and delegation. Journal of Banking & Finance, 35(10), 2637-2656.
[29]. Koch, A. K., Nafziger, J. (2016). Goals and bracketing under mental accounting. Journal of Economic Theory, 162, 305-351.
[30]. Huang, X., Di, H. (2020). Uncertain portfolio selection with mental accounts. International Journal of Systems Science, 51(12), 2079-2090.
[31]. Hou, L., Hsueh, S. C., Zhang, S. (2021). Digital payments and households’ consumption: A mental accounting interpretation. Emerging Markets Finance and Trade, 57(7), 2079-2093.
Cite this article
Lyu,J. (2025). Improving the Quality of Decision Making for Investors: A Research under Behavioral Finance and Psychology. Advances in Economics, Management and Political Sciences,167,17-25.
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