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The Foreign Exchange Rate Exposure of Nations

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Abstract

Following the well-known approach by Adler and Dumas (Financ Manage 13(2):41–50, 1984), we evaluate the foreign exchange rate exposure of nations. Results based on data from 27 countries show that national foreign exchange rate exposures are significantly related to the current account and financial account balance variables of corresponding economies.

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Notes

  1. Commonly, the yield of the world index depends on the price of the special drawing right. To capture the aggregate risk of the yield of the world index not induced by exchange rate fluctuations we orthogonalized the yield of the world index. This so-called residual market factor \(R_{W}^{\circ}\) (McElroy and Burmeister 1988) is represented by the residual of an auxiliary regression model in which the original R W is regressed on the price of the special drawing right. Thus, \(R_{W}^{\circ}\) and sdr i are uncorrelated.

  2. Turkey was not considered due to data problems.

  3. MSCI offers two kind of performance indices: the Gross Index and the Net Index. While the latter “approximates the minimum possible dividend reinvestment” with respect to tax regulations, the former “approximates the maximum possible dividend reinvestment”. For exact definitions see MSCI Index Calculation Methodology (2005).

  4. See www.imf.org for further details.

  5. See Triennial Central Bank Survey (2005).

  6. Except Luxembourg, which is not part of our data set.

  7. Ordinary least squares estimators differ only slightly from system estimators. The sign of the estimator changed only for Hungary and Italy. However, both coefficients are far from being significant in both estimation procedures.

  8. Notice in the SUR the value of the coefficient changes if the orthogonalized world index is excluded, while in the OLS regression both covariates are made independent and, therefore, the exposure coefficient is the same.

  9. This figure is confirmed by the CIA worldfactbook which reports a ratio of 1.45 for 2004.

  10. Performing the same regression by using foreign exchange rate exposure coefficients of single equation estimation both coefficients are very similar in magnitude and significance as well as R 2 increased.

  11. This method is also called leave-one-out estimation, cf. Diebold (2001).

  12. Of course, countries like Spain are not considered as an Emerging market from today’s perspective.

  13. For some countries the error and omission account is larger than 10% of the size of the balance sheet total.

  14. ρ(CB,FADI) = − 0.51, ρ(CB,FAPI) = − 0.59 and ρ(CB,FAOI) = − 0.18.

  15. Results are not presented. They will be available from the authors upon request.

  16. To further examine the influence of the euro, the sample was also restricted to pre-euro years from January 1991 to December 1998. The results can be obtained from the authors upon request.

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Acknowledgements

We are grateful to Thorsten Cors from Morgan Stanley Capital International Inc. for information on the MSCI indices methodology. We also thank two anonymous referees and Birgit Herrmann for helpful comments and suggestions.

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Correspondence to Horst Entorf.

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Entorf, H., Moebert, J. & Sonderhof, K. The Foreign Exchange Rate Exposure of Nations. Open Econ Rev 22, 339–353 (2011). https://doi.org/10.1007/s11079-009-9128-6

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