American Journal of Computational Mathematics

Volume 7, Issue 3 (September 2017)

ISSN Print: 2161-1203   ISSN Online: 2161-1211

Google-based Impact Factor: 0.42  Citations  

Random Timestepping Algorithm with Exponential Distribution for Pricing Various Structures of One-Sided Barrier Options

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DOI: 10.4236/ajcm.2017.73020    962 Downloads   2,165 Views  Citations
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ABSTRACT

The exponentially-distributed random timestepping algorithm with boundary test is implemented to evaluate the prices of some variety of single one-sided barrier option contracts within the framework of Black-Scholes model, giving efficient estimation of their hitting times. It is numerically shown that this algorithm, as for the Brownian bridge technique, can improve the rate of weak convergence from order one-half for the standard Monte Carlo to order 1. The exponential timestepping algorithm, however, displays better results, for a given amount of CPU time, than the Brownian bridge technique as the step size becomes larger or the volatility grows up. This is due to the features of the exponential distribution which is more strongly peaked near the origin and has a higher kurtosis compared to the normal distribution, giving more stability of the exponential timestepping algorithm at large time steps and high levels of volatility.

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Alzubaidi, H. (2017) Random Timestepping Algorithm with Exponential Distribution for Pricing Various Structures of One-Sided Barrier Options. American Journal of Computational Mathematics, 7, 228-242. doi: 10.4236/ajcm.2017.73020.

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