In this thesis, we study several mathematical finance problems, related to the pricing of derivatives. Using different asymptotic approaches, we develop methods to calculate accurate approximations of the prices of certain types of options in cases where no explicit formulas are available.In the first chapter, we are interested in the pricing of path-dependent options, with Monte-Carlo methods, when the underlying is modelled as an affine stochastic volatility model. We prove a long-time trajectorial large deviations principle. We then combine it with Varadhan’s Lemma to calculate an asymptotically optimal measure change, that allows to reduce significantly the variance of the Monte-Carlo estimator of option prices.The second chapter consid...
This thesis proposes an analysis of food price stabilisation policies in poor countries. In order to...
From the governing equations of the velocity field, one can not only expect a (highly) non-Gaussian ...
In this thesis, we study problems related to learning and detecting multivariate statistical dissimi...
We study stochastic control applications to real options and to liquidity risk model. More precisely...
The first part of this thesis concerns the inference of un-normalized statistical models. We study t...
This paper proposes to model labor market transitions accounting specifically for individual heterog...
Nous considérons des problèmes de gestion des stocks multi-échelon à temps périodique avec des deman...
This PhD project takes place in List MAPS, a Horizon 2020-funded Marie Curie Actions InnovativeTrain...
This thesis deals with the study of ergodic BSDE and their applications to the study of the large ti...
In this PhD thesis we study general linear model (multivariate linearmodel) in high dimensional sett...
President du jury: J. Jacod Autres membres du jury: M. Yor, H. Pham, C. Stricker, W. Schachermayer R...
We study the random modeling and the genetic evolution of diploid populations, in an eco-evolutionar...
Ce travail est consacré aux problèmes de testd hypothèses pour les processus de Poisson nonhomogènes...
Cellular automata are a well know family of discrete dynamic systems, defined by S. Ulam and J. von ...
Flows of returns due to recycling and reusing waste are developing in order to preserve the limited ...
This thesis proposes an analysis of food price stabilisation policies in poor countries. In order to...
From the governing equations of the velocity field, one can not only expect a (highly) non-Gaussian ...
In this thesis, we study problems related to learning and detecting multivariate statistical dissimi...
We study stochastic control applications to real options and to liquidity risk model. More precisely...
The first part of this thesis concerns the inference of un-normalized statistical models. We study t...
This paper proposes to model labor market transitions accounting specifically for individual heterog...
Nous considérons des problèmes de gestion des stocks multi-échelon à temps périodique avec des deman...
This PhD project takes place in List MAPS, a Horizon 2020-funded Marie Curie Actions InnovativeTrain...
This thesis deals with the study of ergodic BSDE and their applications to the study of the large ti...
In this PhD thesis we study general linear model (multivariate linearmodel) in high dimensional sett...
President du jury: J. Jacod Autres membres du jury: M. Yor, H. Pham, C. Stricker, W. Schachermayer R...
We study the random modeling and the genetic evolution of diploid populations, in an eco-evolutionar...
Ce travail est consacré aux problèmes de testd hypothèses pour les processus de Poisson nonhomogènes...
Cellular automata are a well know family of discrete dynamic systems, defined by S. Ulam and J. von ...
Flows of returns due to recycling and reusing waste are developing in order to preserve the limited ...
This thesis proposes an analysis of food price stabilisation policies in poor countries. In order to...
From the governing equations of the velocity field, one can not only expect a (highly) non-Gaussian ...
In this thesis, we study problems related to learning and detecting multivariate statistical dissimi...