• DocumentCode
    620471
  • Title

    Pricing credit spread option with Kalman filter and Monte Carlo simulation

  • Author

    Du Sinan ; Zhou Rongxi ; Wang Xianliang ; Wang Yongchao

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    4263
  • Lastpage
    4266
  • Abstract
    This paper presents a method of pricing credit spread option on the basis of multiple factors affine term structure model of interest rates with Kalman filter and Monte Carlo simulation. In this way, the term structures of the Aaa corporate bonds and the Treasury debts with the same maturity in interbank market of China are obtained. Then the credit spreads of corporate bonds are obtained. So European credit spread put option can be priced according to the definition of pricing option. The correlations of option price and strike spread, option expiration are considered. The results show that the return of the credit spread put option increases when the strike spread decreases. The market prices of corporate bonds have a negative correlation with the market spreads. Due to different option expirations, the prices of corporate bonds will be distinct, and so will be the credit spread option prices.
  • Keywords
    Kalman filters; Monte Carlo methods; banking; economic indicators; marketing; pricing; Aaa corporate bonds; European credit spread put option; Kalman filter; Monte Carlo simulation; interbank market; interest rates; market spreads; multiple factors affine term structure model; negative correlation; option expiration; pricing credit spread option; strike spread; treasury debts; Correlation; Economic indicators; Educational institutions; Kalman filters; Modeling; Monte Carlo methods; Pricing; Affine Term Structure Model; Credit Spread Option; Kalman Filter; Monte Carlo Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561700
  • Filename
    6561700