Texte intégral à l'adresse suivante : http://basepub.dauphine.fr/xmlui/handle/123456789/3554Given a markovian Brownian martingale Z, we construct a Markov process X which is a martingale in its own filtration and satisfies 1 1 X =Z . We compute explicitly its semimartingale decomposition under both its own filtration and the filtration generated jointly by X and Z, so making a connection with (dynamic) enlargement of filtrations theory. As an application, we explicitely solve an equilibrium model with insider trading, that can be viewed as a generalization of Back and Pedersen's (Journal of Financial Markets 1, 1998) where stock price evolution exhibits a local volatility dynamics.ou
In this paper we consider a market driven by a Wiener process where there is an insider and a regula...
International audienceBick (1987,1990) and He and Leland (1993) demonstrated that not every arbitrag...
We define a generalized Brownian bridge and we provide some information about its filtration. Two de...
Given a Markovian Brownian martingale $Z$, we build a process $X$ which is a martingale in its own f...
This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory...
In this thesis, we study Gaussian processes generated by certain linear transfor-mations of two Gaus...
In dieser Arbeit untersuchen wir die Struktur von Gausschen Prozessen, die durch gewisse lineare Tra...
The purpose of this paper is to present a general stochastic calculus approach to insider trading...
The dissertation is a collection of four papers. The papers utilize the common technique of modeling...
A theory of expansion of filtrations has been developed since the 1970s to model dynamic probabilist...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
The binary information collects all those events that may or may not occur. With this kind of variab...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
Given a deterministically time-changed Brownian motion $Z$ starting from $1$, whose time-change $V(t...
We show that the marginal distribution of a semimartingale can be matched by a Markov process. This ...
In this paper we consider a market driven by a Wiener process where there is an insider and a regula...
International audienceBick (1987,1990) and He and Leland (1993) demonstrated that not every arbitrag...
We define a generalized Brownian bridge and we provide some information about its filtration. Two de...
Given a Markovian Brownian martingale $Z$, we build a process $X$ which is a martingale in its own f...
This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory...
In this thesis, we study Gaussian processes generated by certain linear transfor-mations of two Gaus...
In dieser Arbeit untersuchen wir die Struktur von Gausschen Prozessen, die durch gewisse lineare Tra...
The purpose of this paper is to present a general stochastic calculus approach to insider trading...
The dissertation is a collection of four papers. The papers utilize the common technique of modeling...
A theory of expansion of filtrations has been developed since the 1970s to model dynamic probabilist...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
The binary information collects all those events that may or may not occur. With this kind of variab...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
Given a deterministically time-changed Brownian motion $Z$ starting from $1$, whose time-change $V(t...
We show that the marginal distribution of a semimartingale can be matched by a Markov process. This ...
In this paper we consider a market driven by a Wiener process where there is an insider and a regula...
International audienceBick (1987,1990) and He and Leland (1993) demonstrated that not every arbitrag...
We define a generalized Brownian bridge and we provide some information about its filtration. Two de...