Journal of Applied Econometrics · 2013 · 34 citations · 56 references
Macroeconomic ForecastingExchange RateMacroeconomic FundamentalsExchange RatesTime Series EconometricsEconomic ForecastingInternational FinanceRandom WalkEconomicsForecastingExchange Rate PoliciesFinanceMacro FinanceExchange Rate RegimesMacroeconomicsExchange Rate MovementBusinessEconometricsForeign Exchange Market
SUMMARY The inability of empirical models to forecast exchange rates has given rise to the belief that exchange rates are disconnected from macroeconomic fundamentals. This paper addresses the potential disconnect by endogenously selecting forecast models from a broad set of fundamentals. The procedure shows that exchange rates are not disconnected from fundamentals, but fundamentals vary in their predictive content at different forecast horizons and for different currencies. Performing model selection out‐of‐sample is challenging. At short horizons, the method cannot outperform a random walk, although the performance is improved at long horizons. These findings are confirmed across currencies and forecast evaluation methods. Copyright © 2013 John Wiley & Sons, Ltd.
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Greedy function approximation: A gradient boosting machine.
Jerome H. Friedman · The Annals of Statistics · 2001 · 27.3K citations · Full text