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http://dx.doi.org/10.7468/jksmeb.2020.27.4.231

AN EFFICIENT AND ROBUST NUMERICAL METHOD FOR OPTION PRICES IN A TWO-ASSET JUMP-DIFFUSION MODEL  

Lee, Chaeyoung (Department of Mathematics, Korea University)
Wang, Jian (Department of Mathematics, Korea University)
Jang, Hanbyeol (Department of Financial Engineering, Korea University)
Han, Hyunsoo (Department of Financial Engineering, Korea University)
Lee, Seongjin (Department of Financial Engineering, Korea University)
Lee, Wonjin (Department of Financial Engineering, Korea University)
Yang, Kisung (School of Finance, College of Business Administration)
Kim, Junseok (Department of Mathematics, Korea University)
Publication Information
The Pure and Applied Mathematics / v.27, no.4, 2020 , pp. 231-249 More about this Journal
Abstract
We present an efficient and robust finite difference method for a two-asset jump diffusion model, which is a partial integro-differential equation (PIDE). To speed up a computational time, we compute a matrix so that we can calculate the non-local integral term fast by a simple matrix-vector operation. In addition, we use bilinear interpolation to solve integral term of PIDE. We can obtain more stable value by using the payoff-consistent extrapolation. We provide numerical experiments to demonstrate a performance of the proposed numerical method. The numerical results show the robustness and accuracy of the proposed method.
Keywords
jump-diffusion; Simpson's rule; non-uniform grid; implicit finite difference method; derivative securities;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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