๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Long memory and stochastic trend

โœ Scribed by Remigijus Leipus; Marie-Claude Viano


Book ID
104302018
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
192 KB
Volume
61
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

โœฆ Synopsis


In this paper, we study a general stochastic trend model and provide conditions on the partial sums which imply the convergence of the V=S statistic. These conditions generalize those in Giraitis et al. (J. Appl. Probab. 38 (2001) 1033) obtained in the case of deterministic trend model. As a particular example of stochastic trend we study a regime switching process called mixture model. We prove that in the non-trivial cases the partial sums converge to a compound Poisson process whereas in "degenerated" cases it resembles the behavior of the I (d -1) process.


๐Ÿ“œ SIMILAR VOLUMES


The data measurement process for UK GNP:
โœ Kerry Patterson ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 175 KB

## Abstract Much published data is subject to a process of revision due, for example, to additional source data, which generates multiple vintages of data on the same generic variable, a process termed the data measurement process or DMP. This article is concerned with several interrelated aspects

European common stochastic long-run tren
โœ Panagiotis Reppas; Efthymios G. Tsionas; Dimitris Christopoulos ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Springer Vienna ๐ŸŒ English โš– 662 KB