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...
मुख्य लेखक: | Giles, M |
---|---|
स्वरूप: | Report |
प्रकाशित: |
Unspecified
2006
|
समान संसाधन
-
Multilevel Monte Carlo path simulation
द्वारा: Giles, M
प्रकाशित: (2008) -
Multilevel Monte Carlo path simulation.
द्वारा: Giles, M
प्रकाशित: (2007) -
Analysis of multilevel Monte Carlo path simulation using the Milstein discretisation
द्वारा: Giles, M, और अन्य
प्रकाशित: (2019) -
Multi-level Monte Carlo approximation of distribution functions and densities
द्वारा: Giles, M, और अन्य
प्रकाशित: (2015) -
Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
द्वारा: Giles, M, और अन्य
प्रकाशित: (2009)