Multilevel monte carlo method for Asian options under the square root process

Kabiri, Azra May B.

Multilevel monte carlo method for Asian options under the square root process Azra May B. Kabiri - Diliman, Quezon City : University of the Philippines Diliman ,2018. - vii, 64 pages 29 cm.

Thesis (Master of Science in Applied Mathematics of Finance) -- University of the Philippines Diliman, May 2018.

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Asian options are path dependent options whose payoff depends on the average price of an asset. The price of these options are not available in closed form. The multilevel Monte Carlo method is a method for discretization with application of the standard Monte Carlo. This method is easy to implement and has less computational cost than the standard Monte Carlo method. The application of this method in pricing Asian options under geometric Brownian motion has already been studied.


However, this has not been applied in pricing Asian options under the square root process. In this study, we use multilevel Monte Carlo method to price Asian options under the square root process. We use the Riemman scheme to discretize the temporal integral of the square root process and a simulation algorithm based on the transition density of the square root process to determine the values of the process at a specified time, as needed for the use of the Riemann scheme. We also determine an upper bound of the rate of mean square convergence of the Riemann sum in approximating the temporal integral of the square root process as it is significant in the analysis of the use of multilevel Monte Carlo method. The results are compared with those obtained using standard Monte Carlo in terms of computational cost.


Finance--Options (specifically Asian options)--Computational methods.

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