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Econometric Analysis of a Continuous Time Multi-Factor Generalized Vasicek Term Structure Model: International Evidence
Authors:Simon H. Babbs  K. Ben Nowman
Affiliation:(1) First National Bank of Chicago and, University of Warwick, 1 Triton Square, London, NW1 3FN, U.K;(2) Department of Investment, Risk Management and Insurance, City University Business School, Frobisher Crescent, Barbican Centre, London, EC2Y 8HB, United Kingdom
Abstract:In this paper we apply the Kalman filter to a state formulation of a multi-factor term structure model allowing for measurement errors in the data. We estimate one and two factor models using panel data allowing the cross sectional and dynamic implications of the yield curve to be taken into account. The panel data approach has the advantage of using all the information in the yield curve across and over time compared to a time series approach only. The models are estimated on data for the Belgian franc, British pound, Danish krone, Dutch guilder, French franc, German mark, Japanese yen, Italian lira and Swiss franc. Our empirical results indicate that the two factor model represents a good description of the yield curves in these markets. This revised version was published online in August 2006 with corrections to the Cover Date.
Keywords:Kalman filtering  measurement errors  state space model  term structure
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