We propose a Nelson-Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying uncertainty of the yield curve’s level, slope and curvature. Estimating the model based on U.S. government bond yields applying Markov chain Monte Carlo techniques we find that the factor volatilities follow highly persistent processes. We show that slope and curvature risk have explanatory power for bond excess returns and illustrate that the yield and volatility factors are closely related to industrial capacity utilization, inflation, monetary policy and employment growth.
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Paper provided by Center for Financial Studies in its series CFS Working Paper Series with number
2009/03.
Length: 45 pages Date of creation: 03 Jan 2009 Date of revision: Handle: RePEc:cfs:cfswop:wp200903
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
John H. Cochrane & Monika Piazzesi, 2005.
"Bond Risk Premia,"
American Economic Review,
American Economic Association, vol. 95(1), pages 138-160, March.
[Downloadable!]
Other versions:
John H. Cochrane & Monika Piazzesi, 2002.
"Bond Risk Premia,"
NBER Working Papers
9178, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)