No-Arbitrage Taylor Rules with Switching Regimes
Haitao Li (),
Tao Li and
Cindy Yu ()
Additional contact information
Haitao Li: Cheung Kong Graduate School of Business, Beijing 100738, China; and Stephen M. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109
Cindy Yu: Department of Statistics, Iowa State University, Ames, Iowa 50011
Management Science, 2013, vol. 59, issue 10, 2278-2294
Abstract:
We study the time-varying nature of U.S. monetary policies summarized by the Taylor rule based on a continuous-time regime-switching term structure model. In this model, the spot rate follows the Taylor rule and government bonds at different maturities are priced by no arbitrage. We allow the coefficients of the Taylor rule and the dynamics of inflation and output gap to be regime dependent and estimate the model using government bond yields. We find that the Fed is proactive in controlling inflation in one regime and accommodative for growth in another. Moreover, proactive monetary policies are associated with more stable inflation and output gap and therefore could have contributed to the Great Moderation. Our analysis also highlights the importance of switching regimes for term structure modeling. Without the regimes, inflation and output can explain less than 50% of the variations of bond yields. With the regimes, the two variables can explain more than 80% of the variations of bond yields. This paper was accepted by Wei Xiong, finance.
Keywords: Taylor rule; term structure; regime switching; MCMC (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.1120.1702 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:59:y:2013:i:10:p:2278-2294
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().