We examine the forecasting performance of a range of time-series models of the daily US effective federal funds (FF) rate recently proposed in the literature. We find that: (i) most of the models and predictor variables considered produce satisfactory one-day-ahead forecasts of the FF rate; (ii) the best forecasting model is a simple univariate model where the future FF rate is forecast using the current difference between the FF rate and its target; (iii) combining the forecasts from various models generally yields modest improvements on the best performing model. These results have a natural interpretation and clear policy implications.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
4587.
Giorgio Valente & Daniel Thornton & Lucio Sarno, 2004.
"Federal Funds Rate Prediction,"
Working Papers
wp04-12, Warwick Business School, Financial Econometrics Research Centre.
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Find related papers by JEL classification: E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates
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