DocumentCode
3003696
Title
Modeling on interest rate behavior of RMB: Comparative research based on Vasicek, CIR and CKLS model
Author
Jie, Ma ; Cuicui, Wang ; Manying, Bai
Author_Institution
Sch. of Econ. & Manage., Bei Hang Univ., Beijing
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
2941
Lastpage
2945
Abstract
Under the background of the marketization of RMBpsilas interest rate, the capacity to capture the change of interest rate will be the core ability of financial institutions. After comparing the features of classic single factor interest rate models, Vasicek, CIR and CKLS model, this paper processes the three continuous time differential equations into discrete forms by Euler equation. The authors respectively compile SAS programs of LS and GMM for these three interest rate model, and obtain their parameter values, by taking 1271 daily closing quotation data of the Chinese inter-bank collateralised repo rate within 7 days (R007). The empirical results show that the Vasicek and CIR models are much more suitable to explain the behavior of RMBpsilas interest rate, other than the CKLS model, which is the most complicated model within the three interest rate models. Furthermore, the explanation power of CIR model for RMBpsilas interest rate is the strongest in our studies.
Keywords
corporate modelling; differential equations; economic indicators; financial management; CIR model; CKLS model; Euler equation; RMB interest rate; Vasicek model; comparative research; continuous time differential equation; discrete forms; financial institution; interest rate behavior; Differential equations; Econometrics; Economic indicators; Environmental economics; Financial management; Moment methods; Power generation economics; Propulsion; Stochastic processes; Testing; discrete form; generalized moment method; interest rate of RMB; single factor model;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636680
Filename
4636680
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