The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Message in Daily Exchange Rates: A Conditional-Variance Tale
Abstract
Formal testing procedures confirm the presence of a unit root in the autoregressive ploynomial of the univariate time series representation of daily exchange-rate data. the first differences of the logarithms of daily spot rates are approximately uncorrelated through time, and a generalized autoregressive conditional heteroscedasticity model with daily dummy variables and conditionally t-distributed errors is found to provide a good representation to the leptokurtosis and time-dependant conditional heteroscedasticity. The parameter estimates and characteristics of the models are found to be very similar for six different currencies. these apparent stylized facts carry over to weekly, fortnightly, and monthly data in which the degree of leptokurtosis and time-dependant heteroscedasticity is reduced as the length of the sampling interval increases.
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
Engle, R. F. (1982) · Econometrica · doi:10.2307/1912773 · Cited by 20,795
Cited by
Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts
Andersen, T. G., & Bollerslev, T. (1998) · International Economic Review · doi:10.2307/2527343 · Cited by 3,375
Self-citationThe Distribution of Realized Exchange Rate Volatility
Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501750332965 · Cited by 2,104
Self-citationA forecast comparison of volatility models: does anything beat a GARCH(1,1)?
Hansen, P. R., & Lunde, A. (2005) · Journal of Applied Econometrics · doi:10.1002/jae.800 · Cited by 1,773
Forecasting Volatility in Financial Markets: A Review
Poon, S., & Granger, C. W. J. (2003) · Journal of Economic Literature · doi:10.1257/002205103765762743 · Cited by 1,315
Modeling and pricing long memory in stock market volatility
Bollerslev, T., & Ole Mikkelsen, H. (1996) · Journal of Econometrics · doi:10.1016/0304-4076(95)01736-4 · Cited by 1,208
Self-citation
Metadata
- Authors
- Baillie, R. T., & Bollerslev, T.
- Venue
- Journal of Business & Economic Statistics
- Publisher
- Informa UK Limited
- Published
- 2002-01
- Volume
- 20
- Issue
- 1
- Pages
- 60-68
- ISSN
- 0735-0015 (ISSN-L)
- 1537-2707
- OpenAlex
- W2082642328
- Cited by
- 791
- References
- 1
- FWCI
- 65.57
- 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: The Message in Daily Exchange Rates: A Conditional-Variance Tale. https://app.cochat.ai/papers/10.1198/073500102753410390
- The paper
- Baillie, R. T., & Bollerslev, T. (2002). The Message in Daily Exchange Rates: A Conditional-Variance Tale. Journal of Business & Economic Statistics. https://doi.org/10.1198/073500102753410390
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.
