Exchange rate exposure of U.S. industries
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This thesis examines exchange rate exposure of 30 U.S. industries between 1974 and 2008 using traditional and orthogonalized linear models. Similar to the literature, when using traditional linear model we find that exposure is very time dependent and often insignificant. However, we discover that orthogonalization helps uncover more evidence of industry exposure. Within the orthogonalized linear model framework, we find that exposure is statistically and economically important, and the effect of orthogonalization is more pronounced for exposure to currency indices. We also test symmetry in exchange rate exposure by subdividing the sample period into the periods of appreciations and depreciations. Interestingly, we find little evidence that exchange rate is asymmetric even if we use orthogonalized linear model. Lastly, we discover that exchange rate exposure cannot be explained by our international trade data.