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
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