“Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Comment
David Allen and
Michael McAleer
No 2018-23, Documentos de Trabajo del ICAE from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico
Abstract:
This note comments on the Generalised Measure of Correlation (GMC) suggested by Zheng et al. (2012). The GMC concept was largely anticipated in a publication 115 years earlier, undertaken by Yule (1897), in the proceedings of the Royal Society. The note is directed at giving Yule (1897) credit for covering the foundations of the topic comprehensively.
Keywords: Skewed correlation; Bravais formula; Generalised Measure of Correlation; Nonlinearity. (search for similar items in EconPapers)
JEL-codes: C10 C12 C13 (search for similar items in EconPapers)
Pages: 9 pages
Date: 2018-09
New Economics Papers: this item is included in nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://eprints.ucm.es/id/eprint/49151/1/1823.pdf (application/pdf)
Related works:
Working Paper: "Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond": Comment (2018) 
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:ucm:doicae:1823
Ordering information: This working paper can be ordered from
Facultad de Ciencias Económicas y Empresariales. Pabellón prefabricado, 1ª Planta, ala norte. Campus de Somosaguas, 28223 - POZUELO DE ALARCÓN (MADRID)
https://www.ucm.es/f ... -de-trabajo-del-icae
Access Statistics for this paper
More papers in Documentos de Trabajo del ICAE from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico Contact information at EDIRC.
Bibliographic data for series maintained by Águeda González Abad ().