The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multivariate Density Forecast Evaluation and Calibration In Financial Risk Management: High-Frequency Returns on Foreign Exchange
Open accessAbstract
We provide a framework for evaluating and improving multivariate density forecasts. Among other things, the multivariate framework lets us evaluate the adequacy of density forecasts involving cross-variable interactions, such as time-varying conditional correlations. We also provide conditions under which a technique of density forecast “calibration” can be used to improve deficient density forecasts, and we show how the calibration method can be used to generate good density forecasts from econometric models, even when the conditional density is unknown. Finally, motivated by recent advances in financial risk management, we provide a detailed application to multivariate high-frequency exchange rate density forecasts.
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
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Dawid, A. P. (1984) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2981683 · Cited by 1,085 · cited 1×
“The closely related ‘‘prequential’’Bayesian literature (Dawid, 1984) also features density forecasts prominently.”
Background
Cited by
MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE*
Patton, A. J. (2006) · International Economic Review · doi:10.1111/j.1468-2354.2006.00387.x · Cited by 2,112
Multivariate GARCH models: a survey
Bauwens, L., Laurent, S., & Rombouts, J. V. K. (2006) · Journal of Applied Econometrics · doi:10.1002/jae.842 · Cited by 2,045
Rossi, B. (2013) · Journal of Economic Literature · doi:10.1257/jel.51.4.1063 · Cited by 649
A review of copula models for economic time series
Patton, A. J. (2012) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2012.02.021 · Cited by 584
Hendry, D. F., & Clements, M. P. (2004) · The Econometrics Journal · doi:10.1111/j.1368-423x.2004.00119.x · Cited by 466
Metadata
- Authors
- Diebold, F. X., Hahn, J., & Tay, A. S.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press
- Published
- 1999-11
- Volume
- 81
- Issue
- 4
- Pages
- 661-673
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W2125407925
- Cited by
- 343
- References
- 2
- FWCI
- 14.36
- Type
- journal article
- Language
- en
- Open access
- green
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: Multivariate Density Forecast Evaluation and Calibration In Financial Risk Management: High-Frequency Returns on Foreign Exchange. https://app.cochat.ai/papers/10.1162/003465399558526
- The paper
- Diebold, F. X., Hahn, J., & Tay, A. S. (1999). Multivariate Density Forecast Evaluation and Calibration In Financial Risk Management: High-Frequency Returns on Foreign Exchange. Review of Economics and Statistics. https://doi.org/10.1162/003465399558526
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.