We present a weak convergence of a discrete time process to a jump-diffusion process as the length of sampling interval, h, goes to zero. There is an example given for the weak convergency with using GARCH (1, 1)-M model by Engle and Bollerslev(1986). It is shown that ARCH type models can be used as discrete time approximations of jump-diffusion pro-cesses. We use Exponential ARCH with Poisson Jump component as an example for the approximation. Therefore, we may use a discrete time ARCH process as an approximation of a jump-diffusion process in esti-mation and forecasting. And we may use the jump-diffusion process as an approximation of ARCH process when there is distributional results available for the jump-diffusion limit of the sequence ...
Available from British Library Document Supply Centre-DSC:DXN044301 / BLDSC - British Library Docume...
We present a novel approach to inference in conditionally Gaussian continuous time stochastic proces...
Event-driven uncertainties such as corporate defaults, operational failures, or central bank announc...
In this thesis we consider the relationship between jump-diffusion processes and ARCH models with ju...
In this paper the question of how to approximate a discrete time ARCH models by continuous time diff...
We study the rate of weak convergence of Markov chains to diffusion processes under quite general as...
AbstractConvergence of stochastic processes with jumps to diffusion processes is investigated in the...
National audienceAmongst various mathematical frameworks, multidimensional continuous-time Markov ju...
This thesis considers the problem of likelihood- based parameter estimation for time-homogeneous jum...
Continuous-time models play a central role in the theory of finance whereas empirical finance makes ...
5.~r’ A convenient method ~ ~ prov ing weak convergence of a sequence of non-Markovian processes X r...
In this thesis, discrete approximation schemes for a class of stochastic differential equations, def...
Continuous-time models play a central role in the theory of finance whereas empirical fi-nance makes...
This article studies the rate of convergence of the weak Euler approximation for Itô diffusion and j...
We study a nonparametric estimation of Lévy measures for multidimensional jump-diffusion models fro...
Available from British Library Document Supply Centre-DSC:DXN044301 / BLDSC - British Library Docume...
We present a novel approach to inference in conditionally Gaussian continuous time stochastic proces...
Event-driven uncertainties such as corporate defaults, operational failures, or central bank announc...
In this thesis we consider the relationship between jump-diffusion processes and ARCH models with ju...
In this paper the question of how to approximate a discrete time ARCH models by continuous time diff...
We study the rate of weak convergence of Markov chains to diffusion processes under quite general as...
AbstractConvergence of stochastic processes with jumps to diffusion processes is investigated in the...
National audienceAmongst various mathematical frameworks, multidimensional continuous-time Markov ju...
This thesis considers the problem of likelihood- based parameter estimation for time-homogeneous jum...
Continuous-time models play a central role in the theory of finance whereas empirical finance makes ...
5.~r’ A convenient method ~ ~ prov ing weak convergence of a sequence of non-Markovian processes X r...
In this thesis, discrete approximation schemes for a class of stochastic differential equations, def...
Continuous-time models play a central role in the theory of finance whereas empirical fi-nance makes...
This article studies the rate of convergence of the weak Euler approximation for Itô diffusion and j...
We study a nonparametric estimation of Lévy measures for multidimensional jump-diffusion models fro...
Available from British Library Document Supply Centre-DSC:DXN044301 / BLDSC - British Library Docume...
We present a novel approach to inference in conditionally Gaussian continuous time stochastic proces...
Event-driven uncertainties such as corporate defaults, operational failures, or central bank announc...