The main state variable of the model is the short rate, which is assumed to follow the stochastic differential equation (under the risk-neutral measure):
In the original article by Fischer Black and Piotr Karasinski the model was implemented using a binomial tree with variable spacing, but a trinomial tree implementation is more common in practice, typically a log-normal application of the Hull–White lattice.
Applications
The model is used mainly for the pricing of exoticinterest rate derivatives such as American and Bermudanbond options and swaptions, once its parameters have been calibrated to the current term structure of interest rates and to the prices or implied volatilities of caps, floors or European swaptions. Numerical methods (usually trees) are used in the calibration stage as well as for pricing. It can also be used in modeling credit default risk, where the Black–Karasinski short rate expresses the (stochastic) intensity of default events driven by a Cox process; the guaranteed positive rates are an important feature of the model here. Recent work on Perturbation Methods in Credit Derivatives has shown how analytic prices can be conveniently deduced in many such circumstances, as well as for interest rate options.
References
Black, F.; Karasinski, P. (July–August 1991). "Bond and Option pricing when Short rates are Lognormal". Financial Analysts Journal. 47 (4): 52–59. doi:10.2469/faj.v47.n4.52.
Damiano Brigo, Fabio Mercurio (2001). Interest Rate Models – Theory and Practice with Smile, Inflation and Credit (2nd ed. 2006 ed.). Springer Verlag. ISBN978-3-540-22149-4.
External links
Simon Benninga and Zvi Wiener (1998). Binomial Term Structure Models, Mathematica in Education and Research, Vol. 7 No. 3 1998