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Cited by 317

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Estimating Exchange Rate Exposures: Issues in Model Structure

Open access
Bodnar, Gordon M., Wong, M. H. Franco·2003·Financial Management

Abstract

We show that both return measurement horizon and model specification have noticeable impacts on estimates of exposure from equity prices for U.S. firms. While increases in the return horizon leads to increases in the precision of the estimates, this effect is less significant than the impact of model structure. We demonstrate that the inclusion and of a market return variable and its particular construction has a dramatic influence on the sign and size of the exposures due to a strong relation between firm size and exposure for U.S. firms. We propose using CRSP cap-based portfolios as the control for market factors and show that this produces exposures with stronger relation to foreign cash flows and correlations with firm size.

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Metadata

Authors
Bodnar, G. M., & Wong, M. H. F.
Venue
Financial Management
Publisher
Wiley
Published
2003
Volume
32
Issue
1
Pages
35
ISSN
0046-3892 (ISSN-L)
OpenAlex
W2070872401
Cited by
317
References
11
FWCI
43.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Estimating Exchange Rate Exposures: Issues in Model Structure. https://app.cochat.ai/papers/10.2307/3666203
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Bodnar, G. M., & Wong, M. H. F. (2003). Estimating Exchange Rate Exposures: Issues in Model Structure. Financial Management. https://doi.org/10.2307/3666203

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.