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Cointegration analysis with state space models.

Authors :
Wagner, Martin
Source :
AStA Advances in Statistical Analysis; Sep2010, Vol. 94 Issue 3, p273-305, 33p
Publication Year :
2010

Abstract

This paper presents and exemplifies results developed for cointegration analysis with state space models by Bauer and Wagner in a series of papers. Unit root processes, cointegration, and polynomial cointegration are defined. Based upon these definitions, the major part of the paper discusses how state space models, which are equivalent to VARMA models, can be fruitfully employed for cointegration analysis. By detailing the cases most relevant for empirical applications, the I(1), multiple frequency I(1), and I(2) cases, a canonical representation is developed and thereafter some available statistical results are briefly discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18638171
Volume :
94
Issue :
3
Database :
Complementary Index
Journal :
AStA Advances in Statistical Analysis
Publication Type :
Academic Journal
Accession number :
54120520
Full Text :
https://doi.org/10.1007/s10182-010-0138-x