DOI QR코드

DOI QR Code

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)
  • 투고 : 2020.02.21
  • 심사 : 2020.09.01
  • 발행 : 2020.11.30

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

참고문헌

  1. F. Black & M. Scholes: The pricing of options and corporate liabilities. J. Polit. Econ. 81 (1973), no. 3, 637-654. https://doi.org/10.1086/260062
  2. L. Bo & Y. Wang: The pricing of basket options: A weak convergence approach. Oper. Res. Lett. 45 (2017), no. 2, 119-125. https://doi.org/10.1016/j.orl.2017.01.007
  3. J.C. Bogle: Black Monday and black swans. Financ. Anal. J. 64 (2008), no. 2, 30-40. https://doi.org/10.2469/faj.v64.n2.9
  4. Y. Choi, D. Jeong, J. Kim, Y.R. Kim, S. Lee, S. Seo & M. Yoo: Robust and accurate method for the Black-Scholes equations with payoff-consistent extrapolation. Commun. Korean Math. Soc. 30 (2015), no. 3, 297-311. https://doi.org/10.4134/CKMS.2015.30.3.297
  5. S.S. Clift & P.A. Forsyth: Numerical solution of two asset jump diffusion models for option valuation. Appl. Numer. Math. 58 (2008), no. 6, 743-782. https://doi.org/10.1016/j.apnum.2007.02.005
  6. S.D. Conte & C. de Boor: Elementary Numerical Analysis: An Algorithmic Approach. McGraw-Hill, Singapore, 1980.
  7. D.J. Duffy: Finite Difference methods in financial engineering: a Partial Differential Equation approach. John Wiley & Sons, 2013.
  8. M. Fakharany, V.N. Egorova & R. Company: Numerical valuation of two-asset options under jump diffusion models using Gauss-Hermite quadrature. J. Comput. Appl. Math. 330 (2018), 822-834. https://doi.org/10.1016/j.cam.2017.03.032
  9. A. Fereshtian, R. Mollapourasl & F. Avram: RBF approximation by partition of unity for valuation of options under exponential L'evy processes. J. Comput. Sci. 32 (2019), 44-55. https://doi.org/10.1016/j.jocs.2019.02.008
  10. J. Foo & D. Witkowska: A Comparison of Global Financial Market Recovery after the 2008 Global Financial Crisis. Folia Oeconomica Stetinensia 17 (2017), no. 1, 109-128. https://doi.org/10.1515/foli-2017-0009
  11. S. Gulen, C. Popescu & M. Sari: A New Approach for the Black-Scholes Model with Linear and Nonlinear Volatilities. Mathematics 7 (2019), no. 8, 760. https://doi.org/10.3390/math7080760
  12. D. Jeong & J. Kim: A comparison study of ADI and operator splitting methods on option pricing models. J. Comput. Appl. Math. 247 (2013), 162-171. https://doi.org/10.1016/j.cam.2013.01.008
  13. D. Jeong, Y.R. Kim, S. Lee, Y. Choi, W.K. Lee, J.M. Shin, H.R. An, H. Hwang & J. Kim: A fast and robust numerical method for option prices and Greeks in a jumpdiffusion model. J. Korean Soc. Math. Educ. Ser. B: Pure Appl. Math. 22 (2015), no.2, 159-168.
  14. V. Kaushansky, A. Lipton & C. Reisinger: Numerical analysis of an extended structural default model with mutual liabilities and jump risk. J. Comput. Sci. 24 (2018), 218-231. https://doi.org/10.1016/j.jocs.2017.05.012
  15. S.G. Kou: A jump-diffusion model for option pricing. Manage. Sci. 48 (2002), no. 8, 1086-1101. https://doi.org/10.1287/mnsc.48.8.1086.166
  16. S.S. Lee: Jumps and information flow in financial markets. Rev. Financ. Stud. 25 (2011), no. 2, 439-479. https://doi.org/10.1093/rfs/hhr084
  17. R.C. Merton: Option pricing when underlying stock returns are discontinuous. J. Financ. Econ. 3 (1976), no. 1-2, 125-144. https://doi.org/10.1016/0304-405X(76)90022-2
  18. R. Rebonato: Volatility and correlation: In the pricing of equity, FX and interest-rate options. John Wiley & Sons, Chichester, 1999.
  19. P. Tankov & R. Cont: Financial modelling with jump processes. Chapman and Hall/CRC, London, UK, 2003.
  20. P. Tankov & E. Voltchkova: Jump-diffusion models: a practitioners guide. Banque et March'es 99 (2009), no. 1, 24.
  21. Q. Wei: Zero-sum games for continuous-time Markov jump processes with risk-sensitive finite-horizon cost criterion. Oper. Res. Lett. 46 (2018), no. 1, 69-75. https://doi.org/10.1016/j.orl.2017.11.008