The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
What Drives the Disposition Effect? An Analysis of a Long‐Standing Preference‐Based Explanation
Abstract
We investigate whether prospect theory preferences can predict a disposition effect. We consider two implementations of prospect theory: in one case, preferences are defined over annual gains and losses; in the other, they are defined over realized gains and losses. Surprisingly, the annual gain/loss model often fails to predict a disposition effect. The realized gain/loss model, however, predicts a disposition effect more reliably. Utility from realized gains and losses may therefore be a useful way of thinking about certain aspects of individual investor trading.
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
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
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
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
Loss Aversion and Seller Behavior: Evidence from the Housing Market
Genesove, D., & Mayer, C. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301753265561 · Cited by 1,628
Up Close and Personal: Investor Sophistication and the Disposition Effect
Dhar, R., & Zhu, N. (2006) · Management Science · doi:10.1287/mnsc.1040.0473 · Cited by 840
Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets?
Feng, L., & Seasholes, M. S. (2005) · Review of Finance · doi:10.1007/s10679-005-2262-0 · Cited by 790
Cited by
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
Stocks as Lotteries: The Implications of Probability Weighting for Security Prices
Barberis, N., & Huang, M. (2008) · American Economic Review · doi:10.1257/aer.98.5.2066 · Cited by 1,544
Self-citationThe Behavior of Individual Investors
Barber, B. M., & Odean, T. (2013) · Handbook of the Economics of Finance · doi:10.1016/b978-0-44-459406-8.00022-6 · Cited by 750
Hirshleifer, D. (2015) · Annual Review of Financial Economics · doi:10.1146/annurev-financial-092214-043752 · Cited by 497
Gomes, F., Haliassos, M., & Ramadorai, T. (2021) · Journal of Economic Literature · doi:10.1257/jel.20201461 · Cited by 396
Metadata
- Authors
- BARBERIS, N., & XIONG, W.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2009-03-13
- Volume
- 64
- Issue
- 2
- Pages
- 751-784
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W3125133526
- Cited by
- 685
- References
- 6
- FWCI
- 60.51
- Type
- journal article
- 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: What Drives the Disposition Effect? An Analysis of a Long‐Standing Preference‐Based Explanation. https://app.cochat.ai/papers/10.1111/j.1540-6261.2009.01448.x
- The paper
- BARBERIS, N., & XIONG, W. (2009). What Drives the Disposition Effect? An Analysis of a Long‐Standing Preference‐Based Explanation. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.2009.01448.x
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.