Large Data Sets, Nonlinearity and the Speed of Adjustment to Real Exchange Rate Shocks
Résumé
A well known puzzle in international finance concerns the observed very slow speeds of adjustment of real exchange rates in response to shocks. In this paper, we explore whether allowing for a wide range of influences on the real exchange rate in a nonlinear framework can help resolve this puzzle. Using recently proposed econometric methods for summarising very large macroeconomic data sets into a small number of observable factors, we find that there is a long-run relationship between these factors and real exchange rates. When put into a nonlinear framework, we find that allowing for the effects of macroeconomic factors dramatically increases the measured speed of adjustment of the real exchange rate.
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