The DOI matches its Crossref record.
A Survey of Behavioral Finance
Abstract
Behavioral finance argues that some financial phenomena can plausibly be understood using models in which some agents are not fully rational.The field has two building blocks: limits to arbitrage, which argues that it can be difficult for rational traders to undo the dislocations caused by less rational traders; and psychology, which catalogues the kinds of deviations from full rationality we might expect to see.We discuss these two topics, and then present a number of behavioral finance applications: to the aggregate stock market, to the cross-section of average returns, to individual trading behavior, and to corporate finance.We close by assessing progress in the field and speculating about its future course.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Who makes acquisitions? CEO overconfidence and the market's reaction☆
MALMENDIER, U., & TATE, G. (2008) · Journal of Financial Economics · doi:10.1016/j.jfineco.2007.07.002 · Cited by 2,754
Psychology and Economics: Evidence from the Field
DellaVigna, S. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.2.315 · Cited by 2,365
Down or Out: Assessing the Welfare Costs of Household Investment Mistakes
Calvet, L. E., Campbell, J. Y., & Sodini, P. (2007) · Journal of Political Economy · doi:10.1086/524204 · Cited by 992
Ambiguity, Information Quality, and Asset Pricing
EPSTEIN, L. G., & SCHNEIDER, M. (2008) · The Journal of Finance · doi:10.1111/j.1540-6261.2008.01314.x · Cited by 833
Exponential Growth Bias and Household Finance
STANGO, V., & ZINMAN, J. (2009) · The Journal of Finance · doi:10.1111/j.1540-6261.2009.01518.x · Cited by 828
Metadata
- Venue
- The Lottery Mindset: Investors, Gambling and the Stock Market
- Publisher
- Palgrave Macmillan
- Published
- 2015-02-13
- OpenAlex
- W3123819895
- Cited by
- 1,220
- References
- 0
- FWCI
- 405.54
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Survey of Behavioral Finance. https://app.cochat.ai/papers/10.1057/9781137381736.0006
- The paper
- A Survey of Behavioral Finance. (2015). The Lottery Mindset: Investors, Gambling and the Stock Market. https://doi.org/10.1057/9781137381736.0006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.