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Federal funds rate prediction

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Sarno, Lucio, Thornton, Daniel L. and Valente, Giorgio (2004) Federal funds rate prediction. Discussion Paper. London: Centre for Economic Policy Research (Great Britain). (Discussion paper (Centre for Economic Policy Research (Great Britain)).

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Abstract

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.

Item Type: Working or Discussion Paper (Discussion Paper)
Subjects: H Social Sciences > HG Finance
Divisions: Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Federal funds market (United States), Economic forecasting -- United States, Nonlinear theories, Time-series analysis
Series Name: Discussion paper (Centre for Economic Policy Research (Great Britain))
Publisher: Centre for Economic Policy Research (Great Britain)
Place of Publication: London
Date: September 2004
Number: No.458
Number of Pages: 35
Status: Not Peer Reviewed
Access rights to Published version: Open Access
URI: http://wrap.warwick.ac.uk/id/eprint/1716

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