• DocumentCode
    1730918
  • Title

    Interest rate futures: estimation of volatility parameters in an arbitrage-free framework

  • Author

    Bhar, Ramaprasad ; Chiarella, Carl

  • Author_Institution
    Sch. of Finance & Econ., Univ. of Technol., Sydney, NSW, Australia
  • fYear
    1996
  • Firstpage
    168
  • Lastpage
    182
  • Abstract
    Hedging interest rate exposures using interest rate futures contracts requires some knowledge of the volatility function of the interest rates. Use of historical data as well as interest rate options like caps and swaptions to estimate this volatility function, have been proposed in the literature. The interest rate futures price is modelled within an arbitrage-free framework for a volatility function which includes a stochastic variable, the instantaneous spot interest rate. The resulting system is expressed in a state space form which is solved using an extended Kalman filter. The technique is applied to short-term interest rate futures contracts trading on the Sydney Futures Exchange as well as on the Tokyo International Financial Futures Exchange. The residual diagnostics indicate suitability of the model and the bootstrap resampling technique is used to obtain small sample properties of the parameters of the volatility function
  • Keywords
    contracts; financial data processing; parameter estimation; statistical analysis; stochastic processes; stock markets; Sydney Futures Exchange; Tokyo International Financial Futures Exchange; arbitrage-free framework; bootstrap resampling technique; caps; extended Kalman filter; historical data; instantaneous spot interest rate; interest rate exposures; interest rate futures; interest rate futures contracts; interest rate futures price; interest rate options; residual diagnostics; short-term interest rate futures contracts trading; state space form; stochastic variable; swaptions; volatility parameter estimation; Economic indicators; Filtering algorithms; Filters; Finance; Forward contracts; Parameter estimation; Portfolios; State-space methods; Stochastic processes; Tires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering, 1996., Proceedings of the IEEE/IAFE 1996 Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    0-7803-3236-9
  • Type

    conf

  • DOI
    10.1109/CIFER.1996.501842
  • Filename
    501842