An Economic Evaluation of Empirical Exchange Rate Models
AbstractThis 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 InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 6598.
Date of creation: Dec 2007
Date of revision:
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Other versions of this item:
- Pasquale Della Corte & Lucio Sarno & Ilias Tsiakas, 2009. "An Economic Evaluation of Empirical Exchange Rate Models," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3491-3530, September.
- F31 - International Economics - - International Finance - - - Foreign Exchange
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-01-05 (All new papers)
- NEP-CBA-2008-01-05 (Central Banking)
- NEP-ECM-2008-01-05 (Econometrics)
- NEP-IFN-2008-01-05 (International Finance)
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