JSM 2004 - Toronto

Abstract #300861

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Activity Number: 24
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Business and Economics Statistics Section
Abstract - #300861
Title: Drift Function Modeling and Testing in Continuous Time Interest Rate Models
Author(s): Myung Suk Kim*+ and Suojin Wang
Companies: Texas A&M University and Texas A&M University
Address: 3143 TAMU, College Station, TX, 77843-3143,
Keywords: drift function ; generalized likelihood test ; consistent nonparametric model specification test ; wild bootstrap method
Abstract:

We test statistical models for the drift function using the weekly U.S. Treasury Bill yields data. Parametric linear and nonlinear regression models are applied to the estimation of the drift function derived by Stanton (1997). We investigate the correctness of the assumed drift models using the consistent nonparametric model specification test and the generalized likelihood ratio test. Both of the tests indicate that there is no strong statistical evidence against the assumed nonlinear drift model as well as the assumed linear drift model. While a weak linear trend is plausible, there is no clear statistical evidence of supporting any exclusive parametric linear or nonlinear drift model.


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