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

AN EFFICIENT AND ROBUST NUMERICAL METHOD FOR OPTION PRICES IN A TWO-ASSET JUMP-DIFFUSION MODEL
  • 이채영; 
  • Jian Wang; 
  • 장한별; 
  • 한현수; 
  • 이성진; 
  • ... 양기성; 
  • 외 2명

초록

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.

키워드

jump-diffusion; Simpson’s rule; non-uniform grid; implicit finite difference method; derivative securities.
제목
AN EFFICIENT AND ROBUST NUMERICAL METHOD FOR OPTION PRICES IN A TWO-ASSET JUMP-DIFFUSION MODEL
제목 (타언어)
AN EFFICIENT AND ROBUST NUMERICAL METHOD FOR OPTION PRICES IN A TWO-ASSET JUMP-DIFFUSION MODEL
저자
이채영; Jian Wang; 장한별; 한현수; 이성진; 이원진; 양기성; 김준석
DOI
10.7468/jksmeb.2020.27.4.231
발행일
2020-11
저널명
순수 및 응용수학
권
27
호
4
페이지
231 ~ 249