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Federal funds rate prediction Author info | Abstract | Publisher info | Download info | Related research | Statistics Lucio Sarno
Daniel L. Thornton
Giorgio Valente
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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 Federal Reserve Bank of St. Louis in its series Working Papers with number
2002-005.
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Date of creation: 2004Date of revision:
Handle: RePEc:fip:fedlwp:2002-005Contact details of provider: Postal: P.O. Box 442, St. Louis, MO 63166 Fax: (314)444-8753 Web page: http://www.stlouisfed.org/ More information through EDIRC
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Keywords: Federal funds rate ; Forecasting ; Other versions of this item:
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"Federal Funds Rate Prediction ,"
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