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Nonlinear asymmetric models of the short‐term interest rate
Author(s) -
Demirtas K. Ozgur
Publication year - 2006
Publication title -
journal of futures markets
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.88
H-Index - 55
eISSN - 1096-9934
pISSN - 0270-7314
DOI - 10.1002/fut.20214
Subject(s) - autoregressive conditional heteroskedasticity , nonlinear system , econometrics , volatility (finance) , term (time) , asymmetry , economics , interest rate , stochastic volatility , mathematics , computer science , physics , quantum mechanics , monetary economics
This study introduces a generalized discrete time framework to evaluate the empirical performance of a wide variety of well‐known models in capturing the dynamic behavior of short‐term interest rates. A new class of models that displays nonlinearity and asymmetry in the drift, and incorporates the level effect and stochastic volatility in the diffusion function is introduced in discrete time and tested against the popular diffusion, GARCH, and level‐GARCH models. Based on the statistical test results, the existing models are strongly rejected in favor of the newly proposed models because of the nonlinear asymmetric drift of the short rate, and the presence of nonlinearity, GARCH, and level effects in its volatility. The empirical results indicate that the nonlinear asymmetric models are better than the existing models in forecasting the future level and volatility of interest rate changes. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:869–894, 2006