Multi-level Monte Carlo path simulation
We show that multigrid ideas can be used to reduce the computational complexity of estimating an expected value arising from a stochastic differential equation using Monte Carlo path simulations. In the simplest case of a Lipschitz payoff and an Euler discretisation, the computational cost to achiev...
Váldodahkki: | Giles, M |
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Materiálatiipa: | Report |
Almmustuhtton: |
Unspecified
2006
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Geahča maid
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Multilevel Monte Carlo path simulation
Dahkki: Giles, M
Almmustuhtton: (2008) -
Multilevel Monte Carlo path simulation.
Dahkki: Giles, M
Almmustuhtton: (2007) -
Analysis of multilevel Monte Carlo path simulation using the Milstein discretisation
Dahkki: Giles, M, et al.
Almmustuhtton: (2019) -
Multi-level Monte Carlo approximation of distribution functions and densities
Dahkki: Giles, M, et al.
Almmustuhtton: (2015) -
Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
Dahkki: Giles, M, et al.
Almmustuhtton: (2009)