Abstract
In this article, a fast numerical method based on orthogonal Chebyshev polynomials for pricing discrete double barrier option is illustrated. At first, a recursive formula for computing price of discrete double barrier option is obtained. Then, these recursive formulas are estimated by Chebyshev polynomials and expressed in operational matrix form that reduce CPU time of algorithm. Finally, the effectiveness and validity of the presented method is demonstrated by comparison with the obtained numerical results with some other algorithms.
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References
Kamrad, B., Ritchken, P.: Multinomial approximating models for options with k state variables. Manag. Sci. 37(12), 1640–1652 (1991)
Kwok, Y.K.: Mathematical Models of Financial Derivatives. Springer, Berlin (1998)
Dai, T.-S., Lyuu, Y.-D., et al.: The bino-trinomial tree: a simple model for efficient and accurate option pricing. J. Deriv. 17(4), 7 (2010)
Ahn, D.-H., Figlewski, S., Gao, B.: Pricing discrete barrier options with an adaptive mesh model. Available at SSRN 162450
Andricopoulos, A.D., Widdicks, M., Duck, P.W., Newton, D.P.: Universal option valuation using quadrature methods. J. Financ. Econ. 67(3), 447–471 (2003)
Fusai, G., Abrahams, I.D., Sgarra, C.: An exact analytical solution for discrete barrier options. Financ. Stochast. 10(1), 1–26 (2006). https://doi.org/10.1007/s00780-005-0170-y
Fusai, G., Recchioni, M.C.: Analysis of quadrature methods for pricing discrete barrier options. J. Econ. Dyn. Control 31(3), 826–860 (2007)
Milev, M., Tagliani, A.: Numerical valuation of discrete double barrier options. J. Comput. Appl. Math. 233(10), 2468–2480 (2010)
Golbabai, A., Ballestra, L., Ahmadian, D.: A highly accurate finite element method to price discrete double barrier options. Comput. Econ. 44(2), 153–173 (2014)
Farnoosh, R., Sobhani, A., Rezazadeh, H., Beheshti, M.H.: Numerical method for discrete double barrier option pricing with time-dependent parameters. Comput. Math. Appl. 70(8), 2006–2013 (2015). https://doi.org/10.1016/j.camwa.2015.08.016
Farnoosh, R., Rezazadeh, H., Sobhani, A., Beheshti, M.H.: A numerical method for discrete single barrier option pricing with time-dependent parameters. Comput. Econ. 48(1), 131–145 (2015). https://doi.org/10.1007/s10614-015-9506-7
Farnoosh, R., Sobhani, A., Beheshti, M.H.: Efficient and fast numerical method for pricing discrete double barrier option by projection method. Comput. Math. Appl. 73(7), 1539–1545 (2017)
Sobhani, A., Milev, M.: A numerical method for pricing discrete double barrier option by Legendre multiwavelet. J. Comput. Appl. Math. 328, 355–364 (2018)
Yoon, J.-H., Kim, J.-H.: The pricing of vulnerable options with double Mellin transforms. J. Math. Anal. Appl. 422(2), 838–857 (2015)
Gzyl, H., Milev, M., Tagliani, A.: Discontinuous payoff option pricing by Mellin transform: a probabilistic approach. Financ. Res. Lett. 20, 281–288 (2017)
Fusai, G., Germano, G., Marazzina, D.: Spitzer identity, Wiener–Hopf factorization and pricing of discretely monitored exotic options. Eur. J. Oper. Res. 251(1), 124–134 (2016)
Shea, C.-J.: Numerical valuation of discrete barrier options with the adaptive mesh model and other competing techniques. Master’s Thesis, Department of Computer Science and Information Engineering, National Taiwan University
Wade, B., Khaliq, A., Yousuf, M., Vigo-Aguiar, J., Deininger, R.: On smoothing of the Crank–Nicolson scheme and higher order schemes for pricing barrier options. J. Comput. Appl. Math. 204(1), 144–158 (2007)
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Kamalzadeh, F., Farnoosh, R. & Fathi, K. A numerical method for pricing discrete double barrier option by Chebyshev polynomials. Math Sci 14, 91–96 (2020). https://doi.org/10.1007/s40096-020-00319-8
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DOI: https://doi.org/10.1007/s40096-020-00319-8