International audienceThis work deals with backward stochastic differential equation (BSDE) with random marked jumps, and their applications to default risk. We show that these BSDEs are linked with Brownian BSDEs through the decomposition of processes with respect to the progressive enlargement of filtrations. We prove that the equations have solutions if the associated Brownian BSDEs have solutions. We also provide a uniqueness theorem for BSDEs with jumps by giving a comparison theorem based on the comparison for Brownian BSDEs. We give in particular some results for quadratic BSDEs. As appli-cations, we study the pricing and the hedging of a European option in a market with a single jump, and the utility maximization problem in an incom...
This paper enlarges the class of backward stochastic differential equation (BSDE) with jumps, adding...
AbstractInsider trading consists in having an additional information, unknown from the common invest...
This thesis studies problems in risk-averse decision making with uncertain outcomes. In particular, ...
The purpose of the master thesis is to look at the classical article «Backward Stochastic Differenti...
This thesis focuses on backward stochastic differential equation with jumps and their applications. ...
Considerably much work has been done on Backward Stochastic Differential Equations (BSDEs) in contin...
International audienceWe study (nonlinear) Backward Stochastic Differential Equations (BSDEs) driven...
We consider a backward stochastic differential equation with jumps (BSDEJ) which is driven by a Brow...
We consider a backward stochastic di erential equation with jumps (BSDEJ) which is driven by a Brown...
In this paper, we are interested by advanced backward stochastic differential equations (ABSDEs), in...
In this paper, we are interested by advanced backward stochastic differential equations (ABSDEs), in...
Backward Stochastic Differential Equations (BSDEs) appear as a new class of stochastic differential ...
We consider a class of backward stochastic differential equations (BSDEs) driven by Brownian motion ...
Recent developments on financial markets have revealed the limits of Brownian motion pricing models ...
AbstractIn this paper, we are interested in real-valued backward stochastic differential equations w...
This paper enlarges the class of backward stochastic differential equation (BSDE) with jumps, adding...
AbstractInsider trading consists in having an additional information, unknown from the common invest...
This thesis studies problems in risk-averse decision making with uncertain outcomes. In particular, ...
The purpose of the master thesis is to look at the classical article «Backward Stochastic Differenti...
This thesis focuses on backward stochastic differential equation with jumps and their applications. ...
Considerably much work has been done on Backward Stochastic Differential Equations (BSDEs) in contin...
International audienceWe study (nonlinear) Backward Stochastic Differential Equations (BSDEs) driven...
We consider a backward stochastic differential equation with jumps (BSDEJ) which is driven by a Brow...
We consider a backward stochastic di erential equation with jumps (BSDEJ) which is driven by a Brown...
In this paper, we are interested by advanced backward stochastic differential equations (ABSDEs), in...
In this paper, we are interested by advanced backward stochastic differential equations (ABSDEs), in...
Backward Stochastic Differential Equations (BSDEs) appear as a new class of stochastic differential ...
We consider a class of backward stochastic differential equations (BSDEs) driven by Brownian motion ...
Recent developments on financial markets have revealed the limits of Brownian motion pricing models ...
AbstractIn this paper, we are interested in real-valued backward stochastic differential equations w...
This paper enlarges the class of backward stochastic differential equation (BSDE) with jumps, adding...
AbstractInsider trading consists in having an additional information, unknown from the common invest...
This thesis studies problems in risk-averse decision making with uncertain outcomes. In particular, ...