A Jump Diffusion Model For Option Pricing
Steven G. Kou
Columbia University - Department of Industrial Engineering and Operations Research (IEOR)
AFA 2001 New Orleans Meetings
Abstract_Content: Brownian motion and normal distribution have been widely used in the Black-Scholes option pricing framework to model the return of assets. However, two puzzles emerge from many empirical investigations: the leptokurtic feature that the return distribution of assets may have a higher peak and two (asymmetric) heavier tails than those of the normal distribution, and an empirical abnormity called "volatility smile'' in option pricing. To incorporate both of them, this paper proposes, for the purpose of option pricing, a double exponential jump diffusion model. The main attraction of the model is its simplicity. In particular, it is simple enough to derive analytical solutions for a variety of option pricing problems, including call and put options, interest rate derivatives and path-dependent options; it seems impossible for many other alternative models to do this. Equilibrium analysis and a psychological interpretation of the model are also presented.
Note: Previously titled: A Jump Diffusion Model for Option Pricing with Three Properties: Leptokurtic Feature, Volatility Smile and Analytical Tractability
Number of Pages in PDF File: 36
Keywords: Contingent claims, high peak, heavy tails, interest rate models, rational expectation, overreaction and underreaction
JEL Classification: G12, G13, C68working papers series
Date posted: September 16, 2000
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