2003
DOI: 10.2139/ssrn.480142
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German Exchange Rate Exposure at DAX and Aggregate Level, International Trade, and the Role of Exchange Rate Adjustment Costs

Abstract: Summary: This article analyses value changes of German stock market companies in response to movements of the US dollar. The approach followed in this work extends the standard means of measuring exchange rate exposure in several ways (e.g. by using multi-factor modelling instead of augmented CAPM, application of moving window panel regressions, orthogonalization of overall market risk vis-à-vis currency risk). The main innovation lies in testing implications of exchange rate adjustment costs (hedging costs) f… Show more

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Cited by 13 publications
(12 citation statements)
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“…Bartram (2002) identifies linear as well as non-linear components of exchange rate exposure. Entorf and Jamin (2003), using rolling-regression techniques, find time-varying exchange rate exposure which depends positively on the ratio exports/GDP and negatively on the ratio imports/GDP, thus supporting the assumed impact of foreign trade on currency exposure, and the deviation of the exchange rate from its long-run median level.…”
Section: Introductionmentioning
confidence: 63%
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“…Bartram (2002) identifies linear as well as non-linear components of exchange rate exposure. Entorf and Jamin (2003), using rolling-regression techniques, find time-varying exchange rate exposure which depends positively on the ratio exports/GDP and negatively on the ratio imports/GDP, thus supporting the assumed impact of foreign trade on currency exposure, and the deviation of the exchange rate from its long-run median level.…”
Section: Introductionmentioning
confidence: 63%
“…Thus, estimating APT-models allows for the joint determination of factor sensitivities, with special 2 The importance of using several macroeconomic risk factors instead of only the dollar and the market risk in order to avoid an omitted variable bias is explained in more detail in Entorf and Jamin (2003).…”
Section: Methodsmentioning
confidence: 99%
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“…1), 2,i  may under/overestimate the firm's true exposure, since currency movements and market returns are correlated (Note 7). To address this issue, we follow Entorf and Jamin (2003) and use an auxiliary regression, described as:…”
Section: Orthogonalized Modelmentioning
confidence: 99%