Title :
A short-term interest rate model with nonlinear mean reversion
Author :
Shi, Zhaoyun ; Kagraoka, Yusho ; Tamura, Yoshiyasu ; Ozaki, Tohru
Author_Institution :
Inst. of Stat. Math., Tokyo, Japan
Abstract :
Interest rate models in the literature have assumed that the drift corresponds to a linear autoregressive process or constant. However, the question of whether or not the drift is actually linear has been considered in recent years. Regarding the fact that mean reversion of the interest rate process is an important feature making models complex, this paper introduces a new parameterized nonlinear short rate model, the exponential drift model, which is potentially applicable to describing the mean reversion property of financial processes. Both the new model and popular linear drift models (Chan et al., 1992) are compared through empirical analysis of the Japanese LIBOR rates. The result shows evidence of linear drift in the short term rates
Keywords :
economic cybernetics; finance; Japanese LIBOR rates; exponential drift model; financial processes; linear autoregressive process; nonlinear mean reversion; parameterized nonlinear short rate model; short-term interest rate model; Autoregressive processes; Differential equations; Economic indicators; Instruments; Investments; Kernel; Pricing; Risk management; Stochastic processes; Testing;
Conference_Titel :
Computational Intelligence for Financial Engineering, 2000. (CIFEr) Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6429-5
DOI :
10.1109/CIFER.2000.844603