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Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate.

Authors :
Yan, Tianshun
Zhao, Yanyong
Wang, Wentao
Source :
Computational Statistics. Jun2020, Vol. 35 Issue 2, p539-557. 19p.
Publication Year :
2020

Abstract

This paper proposes a semiparametric time-dependent jump diffusion model in an effort to capture the dynamic behavior of short-term interest rates. The newly proposed model includes a wide variety of well-known interest rate models, incorporating the time-varying instantaneous return, volatility as well as jump component. The local likelihood density estimation technique together with pseudo likelihood estimation method is employed to estimate the parameters of the model. Some simulations are conducted to examine the statistical performance of our estimators. The proposed procedure is then applied to analyze daily federal funds rate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09434062
Volume :
35
Issue :
2
Database :
Academic Search Index
Journal :
Computational Statistics
Publication Type :
Academic Journal
Accession number :
142998157
Full Text :
https://doi.org/10.1007/s00180-019-00875-1