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The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Predicting Volatility in the Foreign Exchange Market

JORION, PHILIPPE·1995·The Journal of Finance

Abstract

Measures of volatility implied in option prices are widely believed to be the best available volatility forecasts. In this article, we examine the information content and predictive power of implied standard deviations (ISDs) derived from Chicago Mercantile Exchange options on foreign currency futures. The article finds that statistical time‐series models, even when given the advantage of “ex post” parameter estimates, are outperformed by ISDs. ISDs, however, also appear to be biased volatility forecasts. Using simulations to investigate the robustness of these results, the article finds that measurement errors and statistical problems can substantially distort inferences. Even accounting for these, however, ISDs appear to be too variable relative to future volatility.

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Crossref · 10.1111/j.1540-6261.1995.tb04793.x

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Metadata

Authors
JORION, P.
Venue
The Journal of Finance
Publisher
Wiley
Published
1995-06
Volume
50
Issue
2
Pages
507-528
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W2120925732
Cited by
722
References
32
FWCI
25.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predicting Volatility in the Foreign Exchange Market. https://app.cochat.ai/papers/10.1111/j.1540-6261.1995.tb04793.x
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JORION, P. (1995). Predicting Volatility in the Foreign Exchange Market. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1995.tb04793.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.