ABSTRACT We numerically study partial integro-differential equations that arise from the pricing of options under jump-diffusion processes using finite difference methods. Two kinds of jump-diffusion models are considered: one with… Click to show full abstract
ABSTRACT We numerically study partial integro-differential equations that arise from the pricing of options under jump-diffusion processes using finite difference methods. Two kinds of jump-diffusion models are considered: one with non-Levy type feedback jumps and the other with an information effect in the form of jumps. Computational efficiency was achieved by employing an implicit–explicit time stepping scheme based on the Crank–Nicolson and Adams–Bashforth methods. We present some numerical results of the option pricing models with various non-Levy jump distributions for European call options and explain their implications in the financial market.
               
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