Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1708635 | Applied Mathematics Letters | 2012 | 6 Pages |
Abstract
In this paper, the multivariate process having long-range dependency is presented. The process is defined by the time-changed fractional Brownian motion whose subordinator is given by the fractional tempered stable subordinator. The fractional tempered stable subordinator is a generalization of the non-decreasing tempered stable process with long-range dependence. The multivariate process allows for (1) the long-range dependence in the endogenous noise, (2) the long-range dependence in time or the volatility, (3) the fat-tailed marginal distribution, and (4) an asymmetric dependence structure between elements. Numerical methods to generating sample paths for the process are discussed.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Young Shin Kim,