This habilitation thesis focuses on three parts which are motivated by problems in mathematical finance: (1) martingale optimal transport, (2) asymptotic implied volatility for local and stochastic volatility models using short-time (geometrical) heat kernel expansion and (3) probabilistic numerical schemes for nonlinear parabolic second-order PDEs
We develop computational methods for solving the martingale optimal transport (MOT) problem—a versio...
While many questions in (robust) finance can be posed in the martingale optimal transport (MOT) fram...
The duality between the robust (or equivalently, model independent) hedging of path dependent Europe...
Transport (MOT) and its links with probability theory and mathematical finance as well as some of it...
The robust approach has been a prominent area of research within modern mathematical finance since t...
This monograph presents a rigorous mathematical introduction to optimal transport as a variational p...
Many problems in finance can be posed in terms of an optimal stochastic con-trol. Some well-known ex...
This paper proposes a general approximation method for the solutions to second-order parabolic parti...
While many questions in robust finance can be posed in the martingale optimal transport framework or...
This thesis deals with the numerical methods for a fully nonlinear degenerate parabolic partial diff...
This paper proposes a general approximation method for the solution to a second-order parabolic part...
This thesis explores ideas from transport theory and optimal control to develop novel Monte Carlo me...
Cette thèse porte sur les méthodes numériques pour les équations aux dérivées partielles (EDP) non-l...
This PhD dissertation presents two independent research topics dealing with contemporary issues from...
rédigé en mars 2006This document presents my work in mathematical finance and numerical probability ...
We develop computational methods for solving the martingale optimal transport (MOT) problem—a versio...
While many questions in (robust) finance can be posed in the martingale optimal transport (MOT) fram...
The duality between the robust (or equivalently, model independent) hedging of path dependent Europe...
Transport (MOT) and its links with probability theory and mathematical finance as well as some of it...
The robust approach has been a prominent area of research within modern mathematical finance since t...
This monograph presents a rigorous mathematical introduction to optimal transport as a variational p...
Many problems in finance can be posed in terms of an optimal stochastic con-trol. Some well-known ex...
This paper proposes a general approximation method for the solutions to second-order parabolic parti...
While many questions in robust finance can be posed in the martingale optimal transport framework or...
This thesis deals with the numerical methods for a fully nonlinear degenerate parabolic partial diff...
This paper proposes a general approximation method for the solution to a second-order parabolic part...
This thesis explores ideas from transport theory and optimal control to develop novel Monte Carlo me...
Cette thèse porte sur les méthodes numériques pour les équations aux dérivées partielles (EDP) non-l...
This PhD dissertation presents two independent research topics dealing with contemporary issues from...
rédigé en mars 2006This document presents my work in mathematical finance and numerical probability ...
We develop computational methods for solving the martingale optimal transport (MOT) problem—a versio...
While many questions in (robust) finance can be posed in the martingale optimal transport (MOT) fram...
The duality between the robust (or equivalently, model independent) hedging of path dependent Europe...