An Economic Evaluation of Empirical Exchange Rate Models
Pasquale Della Corte
Imperial College London
City University London - Sir John Cass Business School; Centre for Economic Policy Research (CEPR)
University of Guelph
CEPR Discussion Paper No. DP6598
This paper provides a comprehensive evaluation of the short-horizon predictive ability of economic fundamentals and forward premia on monthly exchange rate returns in a framework that allows for volatility timing. We implement Bayesian methods for estimation and ranking of a set of empirical exchange rate models, and construct combined forecasts based on Bayesian Model Averaging. More importantly, we assess the economic value of the in-sample and out-of-sample forecasting power of the empirical models, and find two key results: (i) a risk averse investor will pay a high performance fee to switch from a dynamic portfolio strategy based on the random walk model to one which conditions on the forward premium with stochastic volatility innovations; and (ii) strategies based on combined forecasts yield large economic gains over the random walk benchmark. These two results are robust to reasonably high transaction costs.
Number of Pages in PDF File: 43
Keywords: Bayesian MCMC Estimation, Bayesian Model Averaging, Economic Value, Exchange Rates, Forward Premium, Monetary Fundamentals, Volatility
JEL Classification: F31, F37, G11working papers series
Date posted: June 6, 2008
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