The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Genetic Variation in Financial Decision‐Making
Open accessAbstract
Individuals differ in how they construct their investment portfolios, yet empirical models of portfolio risk typically account only for a small portion of the cross‐sectional variance. This paper asks whether genetic variation can explain some of these individual differences. Following a major pension reform Swedish adults had to form a portfolio from a large menu of funds. We match data on these investment decisions with the Swedish Twin Registry and find that approximately 25% of individual variation in portfolio risk is due to genetic variation. We also find that these results extend to several other aspects of financial decision‐making.
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Cites
Status quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897
Subjective probability: A judgment of representativeness
Kahneman, D., & Tversky, A. (1972) · Cognitive Psychology · doi:10.1016/0010-0285(72)90016-3 · Cited by 4,851
Costly Search and Mutual Fund Flows
Sirri, E. R., & Tufano, P. (1998) · The Journal of Finance · doi:10.1111/0022-1082.00066 · Cited by 3,200
The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior
Madrian, B. C., & Shea, D. F. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301753265543 · Cited by 2,727
What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?
Levitt, S. D., & List, J. A. (2007) · Journal of Economic Perspectives · doi:10.1257/jep.21.2.153 · Cited by 2,668
Save More Tomorrow™: Using Behavioral Economics to Increase Employee Saving
Thaler, R. H., & Benartzi, S. (2004) · Journal of Political Economy · doi:10.1086/380085 · Cited by 2,483
Harrison, G. W., & List, J. A. (2004) · Journal of Economic Literature · doi:10.1257/0022051043004577 · Cited by 2,099
Who Gambles in the Stock Market?
KUMAR, A. (2009) · The Journal of Finance · doi:10.1111/j.1540-6261.2009.01483.x · Cited by 1,798
Naive Diversification Strategies in Defined Contribution Saving Plans
Benartzi, S., & Thaler, R. H. (2001) · American Economic Review · doi:10.1257/aer.91.1.79 · Cited by 1,537
Asset Pricing with Heterogeneous Consumers
Constantinides, G. M., & Duffie, D. (1996) · Journal of Political Economy · doi:10.1086/262023 · Cited by 1,196
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Grinblatt, M., Keloharju, M., & Linnainmaa, J. T. (2012) · Journal of Financial Economics · doi:10.1016/j.jfineco.2011.05.016 · Cited by 428
Gomes, F., Haliassos, M., & Ramadorai, T. (2021) · Journal of Economic Literature · doi:10.1257/jel.20201461 · Cited by 396
Nature or nurture: What determines investor behavior?☆
Barnea, A., Cronqvist, H., & Siegel, S. (2010) · Journal of Financial Economics · doi:10.1016/j.jfineco.2010.08.001 · Cited by 303
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Metadata
- Authors
- CESARINI, D., JOHANNESSON, M., LICHTENSTEIN, P., SANDEWALL, Ö., & WALLACE, B.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2010-09-21
- Volume
- 65
- Issue
- 5
- Pages
- 1725-1754
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2130005383
- Cited by
- 285
- References
- 70
- FWCI
- 15.18
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.