Behavioral Finance
Published version of a preprint
Abstract
Behavioral finance studies the application of psychology to finance, with a focus on individual-level cognitive biases. I describe here the sources of judgment and decision biases, how they affect trading and market prices, the role of arbitrage and flows of wealth between more rational and less rational investors, how firms exploit inefficient prices and incite misvaluation, and the effects of managerial judgment biases. There is a need for more theory and testing of the effects of feelings on financial decisions and aggregate outcomes. Especially, the time has come to move beyond behavioral finance to social finance, which studies the structure of social interactions, how financial ideas spread and evolve, and how social processes affect financial outcomes.
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The disposition effect is widely regarded as one of the most robust and important trading patterns arising from psychological bias.
“the disposition effect is widely regarded as one of the most robust and important trading patterns arising from psychological bias (Hirshleifer, 2015).”
From Striking Out: Biases and Losses of Retail Option Traders (2024) · cites this paper as Hirshleifer, 2015
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524 · see citing works
Common risk factors in the returns on stocks and bonds
Fama, E. F., & French, K. R. (1993) · Journal of Financial Economics · doi:10.1016/0304-405x(93)90023-5 · Cited by 25,754 · see citing works
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 17,604 · see citing works
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467 · see citing works
Telling more than we can know: Verbal reports on mental processes.
Nisbett, R. E., & Wilson, T. D. (1977) · Psychological Review · doi:10.1037/0033-295x.84.3.231 · Cited by 11,317 · see citing works
“Risk, Ambiguity, and the Savage Axioms.”
Ellsberg, D. (1961) · The Quarterly Journal of Economics · doi:10.2307/1884324 · Cited by 7,891 · see citing works
On the psychology of prediction.
Kahneman, D., & Tversky, A. (1973) · Psychological Review · doi:10.1037/h0034747 · Cited by 6,202 · see citing works
Golden eggs and hyperbolic discounting
Laibson, D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555253 · Cited by 6,122 · see citing works
Status quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897 · see citing works
Schwarz, N., & Clore, G. L. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.45.3.513 · Cited by 4,952 · see citing works
Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors
Barber, B. M., & Odean, T. (2000) · The Journal of Finance · doi:10.1111/0022-1082.00226 · Cited by 3,955 · see citing works
Experimental Tests of the Endowment Effect and the Coase Theorem
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1990) · Journal of Political Economy · doi:10.1086/261737 · Cited by 3,194 · see citing works
Specious reward: A behavioral theory of impulsiveness and impulse control.
Ainslie, G. (1975) · Psychological Bulletin · doi:10.1037/h0076860 · Cited by 2,708 · see citing works
Knee-deep in the big muddy: a study of escalating commitment to a chosen course of action
Staw, B. M. (1976) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(76)90005-2 · Cited by 2,061 · see citing works
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Unrealistic Optimism Regarding Artificial Intelligence Opportunities in Human Resource Management
Weber, P. (2023) · International Journal of Knowledge Management · doi:10.4018/ijkm.317217 · Cited by 31 · see citing works
Brain Activity Foreshadows Stock Price Dynamics
Stallen, M., Borg, N., & Knutson, B. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1727-20.2021 · Cited by 18 · see citing works
Striking Out: Biases and Losses of Retail Option Traders
Pitkäjärvi, A., & Vacca, M. (2024) · SSRN Working Paper · doi:10.2139/ssrn.4848713 · Cited by 1 · see citing works
- Authors
- Hirshleifer, D.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Hirshleifer, David
- ORCID
- Hirshleifer, David
- Venue
- Annual Review of Financial Economics
- Publisher
- Annual Reviews
- Published
- 2015-12-07
- Volume
- 7
- Issue
- 1
- Pages
- 133-159
- ISSN
- 1941-1367 (ISSN-L)
- 1941-1375
- OpenAlex
- W4234620788
- Cited by
- 497
- References
- 14
- Citations by year
- 2026: 48 · 2025: 73 · 2024: 88 · 2023: 56 · 2022: 56 · 2021: 50 · 2020: 36 · 2019: 38 · 2018: 19 · 2017: 14 · 2016: 13 · 2015: 4 · 2014: 2
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Financial Economics (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Keywords
- behavioral finance, cognitive biases, decision bias, investor decision-making, trading behavior, market prices, arbitrage, investor flows, misvaluation, social finance
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