A model free cointegration approach for pairs of I(d) variables
Felipe M. Aparicio and
Miguel A. Arranz
Authors registered in the RePEc Author Service: Alvaro Escribano
DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de EstadÃstica
Abstract:
In this paper we propose several model free (non parametric) statistics to measure serial dependence that are useful to characterize the short and the long memory properties of series in the time and the frequency domain. Conditions on the joint memory properties of the series such as cointegration are introduced by means of these statistics. We show that the relationship between the non parametric concept of cointegration and the cross-covariance functions of the series, has a natural interpretation as an instrumental variable estimator. We show that its small sample behavior is better than the usual least squares estimator. Finally, from our characterization it is posibble to discriminate between fractional and integer cointegration
Keywords: Cointegration; Fractional; cointegration; Instrumental; variable; (IV); estimation (search for similar items in EconPapers)
Date: 2000-07
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://e-archivo.uc3m.es/rest/api/core/bitstreams ... 4679b731c79c/content (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:9967
Access Statistics for this paper
More papers in DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de EstadÃstica
Bibliographic data for series maintained by Ana Poveda ().