pith. sign in

arxiv: 1503.02214 · v1 · pith:2F3FJ3FFnew · submitted 2015-03-07 · 🧮 math.ST · math.PR· stat.TH

Series representations for bivariate time-changed L{\'e}vy models

classification 🧮 math.ST math.PRstat.TH
keywords modelseriessometime-changedanalyzebivariatebrowniancomponent
0
0 comments X
read the original abstract

In this paper, we analyze a L{\'e}vy model based on two popular concepts - subordination and L{\'e}vy copulas. More precisely, we consider a two-dimensional L{\'e}vy process such that each component is a time-changed (subordinated) Brownian motion and the dependence between subordinators is described via some L{\'e}vy copula. We prove a series representation for our model, which can be efficiently used for simulation purposes, and provide some practical examples based on real data

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.