FIN-01-044 |
NYU Stern School of Business |
An Examination of the Static and Dynamic Performance of
Interest Rate Option Pricing Models In the Dollar Cap-Floor Markets
September 2001
Anurag Gupta and Marti G. Subrahmanyam
ABSTRACT
This paper examines the static and dynamic accuracy of interest rate option
pricing models in the U.S. dollar interest rate cap and floor markets. We evaluate
alternative one-factor and two-factor term structure models of the spot and the
forward interest rates on the basis of their out-of-sample predictive ability in terms
of pricing and hedging performance. The one-factor models analyzed consist of
two spot-rate specifications (Hull and White (1990) and Black-Karasinski (1991),
five forward rate specifications (within the general Heath, Jarrow and Morton
(1990b) class), and one LIBOR market model (Brace, Gatarek and Musiela (1997)
[BGM]). For two-factor models, two alternative forward rate specifications are
implemented within the HJM framework. We conduct tests on daily data from
March-December 1998, consisting of actual cap and floor prices across both strike
rates and maturities. Results show that fitting the skew of the underlying interest
rate distribution provides accurate pricing results within a one-factor framework.
However, for hedging performance, introducing a second stochastic factor is more
important than fitting the skew of the underlying distribution. Overall, the one-factor
lognormal model for short term interest rates outperforms other competing
models in pricing tests, while two-factor models perform significantly better than
one-factor models in hedging tests. Modeling the second factor allows a better
representation of the dynamic evolution of the term structure by incorporating
expected twists in the yield curve. Thus, the interest rate dynamics embedded in
two-factor models appears to be closer to the one driving the actual economic
environment, leading to more accurate hedges. This constitutes evidence against
claims in the literature that correctly specified and calibrated one-factor models
could replace multi-factor models for consistent pricing and hedging of interest
rate contingent claims.
Classification: G12, G13
Anurag Gupta
Institution: Department of Banking and Finance, Weatherhead School of Management, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106-7235.
Telephone: (216) 368-2938
Fax: (216) 368-4776
Email: axg77@po.cwru.edu
Marti G. Subrahmanyam
Institution: Stern School of Business, New York University, 44th West 4th Street, New York, NY 10012
Telephone: (212) 998-0348
Fax: (212) 995-4233
Email: msubrahm@stern.nyu.edu
Homepage: http://www.stern.nyu.edu/~msubrahm
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