×

A simple and efficient numerical method for pricing discretely monitored early-exercise options. (English) Zbl 1510.91187

Summary: We present a simple, fast, and accurate method for pricing a variety of discretely monitored options in the Black-Scholes framework, including autocallable structured products, single and double barrier options, and Bermudan options. The method is based on a quadrature technique, and it employs only elementary calculations and a fixed one-dimensional uniform grid. The convergence rate is \(O ( 1 / N^4 )\) and the complexity is \(O ( M N \log N )\), where \(N\) is the number of grid points and \(M\) is the number of observation dates. Besides Black-Scholes, our method is also applicable to more general frameworks such as Merton’s jump diffusion model.

MSC:

91G60 Numerical methods (including Monte Carlo methods)
60H35 Computational methods for stochastic equations (aspects of stochastic analysis)
65C30 Numerical solutions to stochastic differential and integral equations
91G20 Derivative securities (option pricing, hedging, etc.)

References:

[1] Broadie, M.; Glasserman, P.; Kou, S., A continuity correction for discrete barrier options, Math. Financ., 7, 4, 325-348 (1997) · Zbl 1020.91020
[2] Fusai, G.; Abrahams, I.; Sgarra, C., An exact analytical solution for discrete barrier options, Finance Stochast., 10, 1, 1-26 (2006) · Zbl 1096.91026
[3] Feng, L.; Linetsky, V., Pricing discretely monitored barrier options and defaultable bonds in Lévy process models: a fast Hilbert transform approach, Math. Financ., 18, 3, 337-384 (2008) · Zbl 1141.91438
[4] Fang, F.; Oosterlee, C., Pricing early-exercise and discrete barrier options by Fourier-cosine series expansions, Numer. Math., 114, 27-62 (2009) · Zbl 1185.91176
[5] Feng, L.; Lin, X., Pricing Bermudan options in Lévy process models, SIAM J. Finan. Math., 4, 1, 474-493 (2013) · Zbl 1287.91141
[6] Buchen, P.; Konstandatos, O., A new approach to pricing double-barrier options with arbitrary payoffs and exponential boundaries, Appl. Math. Financ., 16, 6, 497-515 (2009) · Zbl 1188.91210
[7] Andricopoulos, A.; Widdicks, M.; Duck, P.; Newton, D., Universal option valuation using quadrature methods, J. Financ. Econ., 67, 3, 447-471 (2003)
[8] Lord, R.; Fang, F.; Bervoets, F.; Oosterlee, C., A fast and accurate FFT-based method for pricing early-exercise options under Lévy processes, SIAM J. Sci. Comput., 30, 4, 1678-1705 (2008) · Zbl 1170.91389
[9] O’Sullivan, C., Path dependant option pricing under Lévy processes, EFA 2005 Moscow Meetings Paper (2005)
[10] Broadie, M.; Yamamoto, Y., A double-exponential fast Gauss transform algorithm for pricing discrete path-dependent options, Oper. Res., 53, 5, 764-779 (2005) · Zbl 1165.91394
[11] Merton, C., Option pricing when underlying stock returns are discontinuous, J. Financ. Econ., 3, 1, 125-144 (1976) · Zbl 1131.91344
[12] Johnson, N.; Kotz, S.; Balakrishnan, N., Continuous Univariate Distributions, Wiley Series in Probability and Mathematical Statistics, vol. 1 (1994), John Wiley & Sons · Zbl 0811.62001
[13] Shreve, S., Stochastic Calculus for Finance II: Continuous-Time Models (2004), Springer-Verlag · Zbl 1068.91041
[14] Matsuda, K., Introduction to Merton jump diffusion model, Department of Economics, The Graduate Center, The City University of New York, New York (2004)
[15] Hull, J., Options, Futures, and Other Derivatives (2014), Pearson · Zbl 1087.91025
[16] Gatheral, J., The Volatility Surface: A Practitioner’s Guide (2006), John Wiley & Sons
[17] Burden, R.; Faires, J.; Burden, A., Numerical Analysis (2015), Brooks Cole
[18] Broadie, M.; Glasserman, P.; Kou, S., Connecting discrete and continuous path-dependent options, Financ. Stoch., 3, 1, 55-82 (1999) · Zbl 0924.90007
[19] Deng, G.; Mallett, J.; McCann, C., Modeling autocallable structured products, J. Deriv. Hedge Funds, 17, 4, 326-340 (2011)
[20] Guillaume, T., Autocallable structured products, J. Deriv., 22, 3, 73-94 (2015)
[21] Guillaume, T., Analytical valuation of autocallable notes, Int. J. Financ. Eng., 2, 2, 1-23 (2015)
[22] Alm, T.; Harrach, B.; Harrach, D.; Keller, M., A Monte Carlo pricing algorithm for autocallables that allows for stable differentiation, J. Comput. Financ., 17, 1, 43-70 (2013)
[23] Fries, C.; Joshi, M., Perturbation stable conditional analytic Monte-Carlo pricing scheme for auto-callable products, Int. J. Theor. Appl. Finance, 14, 2, 197-219 (2011) · Zbl 1214.91132
[24] Reiner, E., Convolution methods for path-dependent options, Financial Mathematics: Risk Management, Modeling and Numerical Methods (2001), IPAM UCLA
[25] Wei, J., Valuation of discrete barrier options by interpolations, J. Deriv., 6, 1, 51-73 (1998)
[26] Ahn, D.-H.; Figlewski, S.; Gao, B., Pricing discrete barrier options with an adaptive mesh model, J. Deriv., 6, 4, 33-43 (1999)
[27] 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)
[28] Song, Q.; Yin, G.; Zhang, Q., Weak convergence methods for approximation of the evaluation of path-dependent functionals, SIAM J. Control Optim., 51, 5, 4189-4210 (2013) · Zbl 1279.93098
[29] Ibáñez, A.; Velasco, C., The optimal method for pricing Bermudan options by simulation, Math. Financ., 28, 4, 1143-1180 (2018) · Zbl 1417.91555
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.