In this paper, we study the small noise asymptotic expansions for certain classes of local volatility models arising in finance. We provide explicit expressions for the involved coefficients as well as accurate estimates on the remainders. Moreover, we perform a detailed numerical analysis, with accuracy comparisons, of the obtained results by means of the standard Monte Carlo technique as well as exploiting the Polynomial Chaos Expansion approach
We present a simplified approach to the analytical approximation of the transition density related t...
We propose a novel method for the analytical approximation in local volatility models with Lèvy jump...
Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, centr...
In this thesis we study asymptotic expansions for option pricing with emphasis on small noise “sing...
Stochastic instantaneous volatility models such as Heston, SABR or SV-LMM have mostly been developed...
AbstractWe consider the Black–Scholes model where we add a perturbation term ∑iεiσi to the model wit...
We introduce an asymptotic expansion for forward start options in a multi-factor local-stochastic vo...
We establish asymptotic links between two classes of stochastic volatility models describing the sam...
AbstractWe consider a stochastic volatility model with Lévy jumps for a log-return process Z=(Zt)t≥0...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
This paper consists in providing and mathematically analyzing the expansion of an option price (with...
In this thesis, we investigate several stochastic approximation methods for both the computation of ...
We study the dynamics of the normal implied volatility in a local volatility model, using a small-ti...
International audienceFor general time-dependent local volatility models, we propose new approximati...
We present a simplified approach to the analytical approximation of the transition density related ...
We present a simplified approach to the analytical approximation of the transition density related t...
We propose a novel method for the analytical approximation in local volatility models with Lèvy jump...
Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, centr...
In this thesis we study asymptotic expansions for option pricing with emphasis on small noise “sing...
Stochastic instantaneous volatility models such as Heston, SABR or SV-LMM have mostly been developed...
AbstractWe consider the Black–Scholes model where we add a perturbation term ∑iεiσi to the model wit...
We introduce an asymptotic expansion for forward start options in a multi-factor local-stochastic vo...
We establish asymptotic links between two classes of stochastic volatility models describing the sam...
AbstractWe consider a stochastic volatility model with Lévy jumps for a log-return process Z=(Zt)t≥0...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
This paper consists in providing and mathematically analyzing the expansion of an option price (with...
In this thesis, we investigate several stochastic approximation methods for both the computation of ...
We study the dynamics of the normal implied volatility in a local volatility model, using a small-ti...
International audienceFor general time-dependent local volatility models, we propose new approximati...
We present a simplified approach to the analytical approximation of the transition density related ...
We present a simplified approach to the analytical approximation of the transition density related t...
We propose a novel method for the analytical approximation in local volatility models with Lèvy jump...
Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, centr...