Submitted by: Submitted by 1988
Views: 668
Words: 20841
Pages: 84
Category: Business and Industry
Date Submitted: 03/25/2011 12:10 PM
Board of Governors of the Federal Reserve System
International Finance Discussion Papers Number 993 January 2010
Term Structure Forecasting Using Macro Factors And Forecast Combination Michiel De Pooter Francesco Ravazzolo Dick van Dijk
NOTE: International Finance Discussion Papers are preliminary material circulated to stimulate discussion and critical comment. References to International Finance Discussion Papers (other than an acknowledgment that the writer has had access to unpublished material) should be cleared with the author or authors. Recent IFDPs are available on the Web at www.federalreserve.gov/pubs/ifdp. This paper can be downloaded without charge from the Social Science Research Network electronic library at www.ssrn.com.
Term Structure Forecasting Using Macro Factors and Forecast Combination∗
Michiel de Pooter†
Federal Reserve Board
Francesco Ravazzolo
Norges Bank
Dick van Dijk
Erasmus University Rotterdam
February 3, 2010
Abstract We examine the importance of incorporating macroeconomic information and, in particular, accounting for model uncertainty when forecasting the term structure of U.S. interest rates. We start off by analyzing and comparing the forecast performance of several individual term structure models. Our results confirm and extend results found in previous literature that adding macroeconomic information, through factors extracted from a large number of individual series, tends to improve interest rate forecasts. We then show, however, that the predictive power of individual models varies over time significantly. Models with macro factors are the more accurate in and around recession periods. Models without macro factors do particularly well in low-volatility subperiods such as the late 1990s. We demonstrate that this problem of model uncertainty can be mitigated by combining individual model forecasts. Combining forecasts leads to encouraging gains in predictability, especially for longer-dated...