Improving market-based forecasts of short-term interest rates: time-varying stationarity and the predictive content of switching regime-expectations
- Modeling short-term interest rates as following regime-switching processes has become increasingly popular. Theoretically, regime-switching models are able to capture rational expectations of infrequently occurring discrete events. Technically, they allow for potential time-varying stationarity. After discussing both aspects with reference to the recent literature, this paper provides estimations of various univariate regime-switching specifications for the German three-month money market rate and bivariate specifications additionally including the term spread. However, the main contribution is a multi-step out-of-sample forecasting competition. It turns out that forecasts are improved substantially when allowing for state-dependence. Particularly, the informational content of the term spread for future short rate changes can be exploited optimally within a multivariate regime-switching framework.
Author: | Ralf Ahrens |
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URN: | urn:nbn:de:hebis:30-9631 |
Parent Title (German): | Center for Financial Studies (Frankfurt am Main): CFS working paper series ; No. 1999,14 |
Series (Serial Number): | CFS working paper series (1999, 14) |
Document Type: | Working Paper |
Language: | English |
Year of Completion: | 1999 |
Year of first Publication: | 1999 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2005/06/13 |
Tag: | forecasting; interest rates; peso problem; regime-switching; term structure |
GND Keyword: | Nichtlineare Zeitreihenanalyse; Zinsfuß; Prognose |
HeBIS-PPN: | 197809235 |
Institutes: | Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS) |
Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
JEL-Classification: | C Mathematical and Quantitative Methods / C3 Multiple or Simultaneous Equation Models / C32 Time-Series Models; Dynamic Quantile Regressions (Updated!) |
C Mathematical and Quantitative Methods / C5 Econometric Modeling / C53 Forecasting and Other Model Applications | |
Licence (German): | ![]() |