The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets
Open accessAbstract
This article studies time series dependence in the direction of stock prices by modeling the (instantaneous) probability that a bull or bear market terminates as a function of its age and a set of underlying state variables, such as interest rates. A random walk model is rejected both for bull and bear markets. Although it fits the data better, a generalized autoregressive conditional heteroscedasticity model is also found to be inconsistent with the very long bull markets observed in the data. The strongest effect of increasing interest rates is found to be a lower bear market hazard rate and hence a higher likelihood of continued declines in stock prices.
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
The Statistical Analysis of Failure Time Data.
Aitkin, M., Kalbfleisch, J. D., & Prentice, R. L. (1981) · Biometrics · doi:10.2307/2530581 · Cited by 9,877
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
GLOSTEN, L. R., JAGANNATHAN, R., & RUNKLE, D. E. (1993) · The Journal of Finance · doi:10.1111/j.1540-6261.1993.tb05128.x · Cited by 9,008
The Econometrics of Financial Markets
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2012) · Princeton University Press eBooks · doi:10.2307/j.ctt7skm5 · Cited by 5,875
By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior
Campbell, J. Y., & Cochrane, J. H. (1999) · Journal of Political Economy · doi:10.1086/250059 · Cited by 5,210
Business conditions and expected returns on stocks and bonds
Fama, E. F., & French, K. R. (1989) · Journal of Financial Economics · doi:10.1016/0304-405x(89)90095-0 · Cited by 3,933
Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test
Lo, A. W., & MacKinlay, A. C. (1988) · Review of Financial Studies · doi:10.1093/rfs/1.1.41 · Cited by 3,731
Permanent and Temporary Components of Stock Prices
Fama, E. F., & French, K. R. (1988) · Journal of Political Economy · doi:10.1086/261535 · Cited by 3,025
Nonparametric Statistical Methods.
Knott, M., Hollander, M., & Wolfe, D. A. (1974) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344557 · Cited by 2,662
Simple technical trading rules and the stochastic properties of stock returns
BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301
Journal of Economic Literature
(2018) · AEA Papers and Proceedings · doi:10.1257/pandp.108.654 · Cited by 2,110
Cited by
Short-Run Pain, Long-Run Gain: Financial Liberalization and Stock Market Cycles
Kaminsky, G. L., & Schmukler, S. L. (2008) · Review of Finance · doi:10.1093/rof/rfn002 · Cited by 276
Metadata
- Authors
- Lunde, A., & Timmermann, A.
- Venue
- Journal of Business & Economic Statistics
- Publisher
- Informa UK Limited
- Published
- 2004-07
- Volume
- 22
- Issue
- 3
- Pages
- 253-273
- ISSN
- 0735-0015 (ISSN-L)
- 1537-2707
- OpenAlex
- W1490914203
- Cited by
- 258
- References
- 39
- FWCI
- 7.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets. https://app.cochat.ai/papers/10.1198/073500104000000136
- The paper
- Lunde, A., & Timmermann, A. (2004). Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets. Journal of Business & Economic Statistics. https://doi.org/10.1198/073500104000000136
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.