An important theorem in stochastic finance field is the martingale representation theorem. It is useful in the stage of making hedging strategies (such as cross hedging and replicating hedge) in the presence of different assets with different stochastic dynamics models. In the current paper, some new theoretical results about this theorem including derivation of serial correlation function of a martingale process and its conditional expectations approximation are proposed. Applications in optimal hedge ratio and financial derivative pricing are presented and sensitivity analyses are studied. Throughout theoretical results, simulation-based results are also proposed. Two real data sets are analyzed and concluding remarks are given. Finally, ...
The paper considers a statistical concept of causality in continuous time between filtered probabili...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We consider a financial framework with two levels of information: the public information generated b...
AbstractThe integrand, when a martingale under an equivalent measure is represented as a stochastic ...
In this thesis, we will develop the fundamental properties of financial mathematics, with a focus on...
We discuss martingales, detrending data, and the efficient market hypothesis for stochastic processe...
The main objective of this thesis is the study of the model risk and its quantification through mone...
Using Clark-Ocone formula, explicit martingale representations for path-dependent Brownian functiona...
AbstractIn this paper we transfer martingale representation theorems from some given filtration F to...
AbstractWe provide a framework for the martingale representation for futures prices which has some c...
International audienceThe aim of this paper is to introduce a new formalism for the deterministic an...
AbstractLet {Xt} be a continuous square integrable martingale. Denote its increasing (natural) proce...
This work focuses on the application of stochastic differential equations, with martingales, in fina...
The model determines a stochastic continuous process as continuous limit of a stochastic discrete pr...
Title: Martingale measures and pricing of financial derivatives Author: Martin Melicherčík Departmen...
The paper considers a statistical concept of causality in continuous time between filtered probabili...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We consider a financial framework with two levels of information: the public information generated b...
AbstractThe integrand, when a martingale under an equivalent measure is represented as a stochastic ...
In this thesis, we will develop the fundamental properties of financial mathematics, with a focus on...
We discuss martingales, detrending data, and the efficient market hypothesis for stochastic processe...
The main objective of this thesis is the study of the model risk and its quantification through mone...
Using Clark-Ocone formula, explicit martingale representations for path-dependent Brownian functiona...
AbstractIn this paper we transfer martingale representation theorems from some given filtration F to...
AbstractWe provide a framework for the martingale representation for futures prices which has some c...
International audienceThe aim of this paper is to introduce a new formalism for the deterministic an...
AbstractLet {Xt} be a continuous square integrable martingale. Denote its increasing (natural) proce...
This work focuses on the application of stochastic differential equations, with martingales, in fina...
The model determines a stochastic continuous process as continuous limit of a stochastic discrete pr...
Title: Martingale measures and pricing of financial derivatives Author: Martin Melicherčík Departmen...
The paper considers a statistical concept of causality in continuous time between filtered probabili...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We consider a financial framework with two levels of information: the public information generated b...