Federal Funds Rate Prediction

Lucio Sarno, Daniel Thornton and Giorgio Valente ()

Journal of Money, Credit and Banking, 2005, vol. 37, issue 3, 449-71

Abstract: We examine the forecasting performance of a range of time-series models of the daily U.S. effective federal funds (FF) rate recently proposed in the literature. We find that: (1) most of the models and predictor variables considered produce satisfactory one-day-ahead forecasts of the FF rate, (2) 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, and (3) 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.

Date: 2005
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Working Paper: Federal Funds Rate Prediction (2004)
Working Paper: Federal funds rate prediction (2004)
Working Paper: Federal Funds Rate Prediction (2003)
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Persistent link: https://EconPapers.repec.org/RePEc:mcb:jmoncb:v:37:y:2005:i:3:p:449-71

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