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Title: An Economic Evaluation of Empirical Exchange Rate Models

Author(s): Pasquale Della Corte, Lucio Sarno and Ilias Tsiakas

Publication Date: December 2007

Keyword(s): Bayesian MCMC Estimation, Bayesian Model Averaging, Economic Value, Exchange Rates, Forward Premium, Monetary Fundamentals and Volatility

Programme Area(s): Financial Economics and International Macroeconomics

Abstract: 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.

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Bibliographic Reference

Della Corte, P, Sarno, L and Tsiakas, I. 2007. 'An Economic Evaluation of Empirical Exchange Rate Models'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=6598