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Currency Risk Premiums: A Multi-Horizon Perspective

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Abstract
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We review the literature on multi-horizon currency risk premiums. We show how the multi-horizon implications arise from the classic present-value relationship. We further show how these implications manifest themselves in the interaction between bond and currency risk premiums. This link is strengthened by explicitly accounting for stochastic discount factors. Information about currency risk premiums at different horizons presents a wealth of new evidence and challenges for existing models.

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We propose a novel mechanism to explain the incomplete pass-through of exchange rates to exporter prices and quantities, based on the relationship between exporters' dynamic pricing strategies and currency risk premia. When domestic currency risk premium increases, the relative value of current foreign currency cash flows rises compared to future ones. Consequently, exporters who set prices in customer markets are inclined to increase markups today, leading to higher prices in response to elevated risk premia. This risk-based explanation provides a new perspective on the exchange rate disconnect puzzle, suggesting that a higher currency risk premium dampens the direct impact of exchange rate changes on export prices. We test this mechanism empirically using firm-product level data from Colombian exporters on prices and quantities.

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This study analyzes the term structure of interest rates in Mexico.1 Domowitz, Glen and Madhaven (DGM) find that, during the 18 months leading up to the devaluation in December 1994, the term structure was broadly consistent with the expectations hypothesis. In addition, they find that market expectations of default on Mexican securities were fairly stable, and currency risk premia were actually declining immediately preceding the devaluation.KeywordsInterest RateTerm StructureMarket ExpectationExpectation HypothesisDiscriminatory PriceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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