Testing for the cointegration rank between periodically integrated processes

A method is proposed for determining the cointegration rank between periodically integrated ( P I ) processes using pseudo-demodulation. This transformation allows the application of the Canonical Correlation procedure to determining the cointegration rank. The performance of the method is evaluated through a Monte Carlo experiment, demonstrating its effectiveness in small samples. An empirical application using monthly data from the Industrial Production Index of the USA illustrates its implementation.

Authors

Institutions

Publication Details

Journal
Econometrics and Statistics
Published
2025-03-01
DOI
https://doi.org/10.1016/j.ecosta.2025.03.001
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing for the cointegration rank between periodically integrated processes

Tomás del Barrio Castro
Econometrics and Statistics
Monetary Policy and Economic Impact
article

Testing for the cointegration rank between periodically integrated processes

Tomás del Barrio Castro
article en

Abstract

A method is proposed for determining the cointegration rank between periodically integrated ( P I ) processes using pseudo-demodulation. This transformation allows the application of the Canonical Correlation procedure to determining the cointegration rank. The performance of the method is evaluated through a Monte Carlo experiment, demonstrating its effectiveness in small samples. An empirical application using monthly data from the Industrial Production Index of the USA illustrates its implementation.

Econometrics and Statistics
Universitat de les Illes Balears (ES)
Agencia Estatal de Investigación
Reduced inequalities
Openalex Percentile: Top 94%
Monetary Policy and Economic Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.