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1. Pricing Put Options with Multilevel Monte Carlo Simulation
Kandidat-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikationSammanfattning : Monte Carlo path simulations are common in mathematical and computational finance as a way of estimating the expected values of a quantity such as a European put option, which is functional to the solution of a stochastic differential equation (SDE). The computational complexity of the standard Monte Carlo (MC) method grows quite large quickly, so in this thesis we focus on the Multilevel Monte Carlo (MLMC) method by Giles, which uses multigrid ideas to reduce the computational complexity. LÄS MER
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