• 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