A Nonparametric Dimension Test Of The Term Structure
Abstract
This paper addresses the problem of conducting a nonparametric test of the dimension of the state variable vector in a continuous-time term structure model. The paper shows that a bivariate diffusion function of the short rate process is a sufficient condition for the term structure to be driven by two stochastic factors. Using an easy-to-implement kernel smoothing method the number of state variables can be tested under very unrestrictive assumptions. The results suggest that continuous-time models for the US interest rates should contain at least two stochastic factors.Download Info
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Paper provided by Universidad Carlos III, Departamento de Economía de la Empresa in its series Business Economics Working Papers with number wb012106.Length:
Date of creation: Mar 2001
Date of revision:
Handle: RePEc:cte:wbrepe:wb012106
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- Javier Gil-Bazo & Gonzalo Rubio, 2004. "A Nonparametric Dimension Test of the Term Structure," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 6.
- Gil-Bazo, Javier & Rubio, Gonzalo, 2004. "A nonparametric dimension test of the term structure," Open Access publications from Universidad Carlos III de Madrid info:hdl:10016/7504, Universidad Carlos III de Madrid.
- Gil Bazo, Javier & Rubio Irigoyen, Gonzalo, 2003. "A Non-Parametric Dimension Test of the Term Structure," DFAEII Working Papers 2002-01, University of the Basque Country - Department of Foundations of Economic Analysis II.
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
- E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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