Strong convergence rates for Euler approximations to a class of stochastic path-dependent volatility models
We consider a class of stochastic path-dependent volatility models where the stochastic volatility, whose square follows the Cox{Ingersoll{Ross model, is multiplied by a (leverage) function of the spot process, its running maximum, and time. We propose a Monte Carlo simulation scheme which combines...
Main Authors: | Cozma, A, Reisinger, C |
---|---|
Format: | Journal article |
Published: |
Society for Industrial and Applied Mathematics
2018
|
Similar Items
-
Convergence of an Euler scheme for a hybrid stochastic-local volatility model with stochastic rates in foreign exchange markets
by: Cozma, A, et al.
Published: (2018) -
Strong order 1/2 convergence of full truncation Euler approximations to the Cox-Ingersoll-Ross process
by: Cozma, A, et al.
Published: (2018) -
Convergence of the Euler–Maruyama particle scheme for a regularised McKean–Vlasov equation arising from the calibration of local-stochastic volatility models
by: Reisinger, C, et al.
Published: (2024) -
Calibration of a hybrid local-stochastic volatility stochastic rates model with a control variate particle method
by: Cozma, A, et al.
Published: (2019) -
Calibration of local-stochastic and path-dependent volatility models to vanilla and no-touch options
by: Bain, A, et al.
Published: (2021)