DocumentCode :
2872991
Title :
Testing a jump-diffusion stochastic interest rates model in currency options markets
Author :
Doffou, Ako ; Hilliard, Jimmy E.
fYear :
1999
fDate :
1999
Firstpage :
27
Lastpage :
63
Abstract :
The paper examines the ability of the jump-diffusion models to explain systematic deviations in implicit distributions from the benchmark assumption of lognormality. Jumps that occur in the spot exchange rate due to supply and demand fluctuations in the currency market impose distributions for spot and futures prices that have degrees of skewness and kurtosis different from those of the lognormal distribution. R.C. Merton´s (1976) model allows for non diversifiable jump risk. D.S. Bates´ (1991, 1996) model allows the jump exchange risk to be systematic and derives the correct functional form of the market price of risk. Recent transactions data on futures and futures options are used to test the jump-diffusion stochastic interest rates model developed by A. Doffou and J.E. Hilliard (1998), as well as D.S. Bates´ (1991, 1996) and F. Black´s (1976) models to price out-of-sample options in a British pound, German mark, and Japanese yen futures market. The test results show that the jump-diffusion stochastic interest rates model performs better than Bates´ model which in turn performs better than Black´s model
Keywords :
modelling; probability; risk management; stochastic processes; stock markets; British pound; German mark; Japanese yen futures market; benchmark assumption; currency market; currency options markets; functional form; futures options; futures prices; implicit distributions; jump exchange risk; jump-diffusion stochastic interest rates model; jump-diffusion stochastic interest rates model testing; kurtosis; lognormal distribution; lognormality; market price; non diversifiable jump risk; out-of-sample options; skewness; spot exchange rate; systematic deviations; transactions data; Benchmark testing; Economic indicators; Electronic mail; Exchange rates; Finance; Performance evaluation; Stochastic processes; Stochastic systems; Supply and demand; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering, 1999. (CIFEr) Proceedings of the IEEE/IAFE 1999 Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5663-2
Type :
conf
DOI :
10.1109/CIFER.1999.771105
Filename :
771105
Link To Document :
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