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Dynamic correlation network analysis of financial asset returns with network clustering

In this study, we propose a novel approach to analyze a dynamic correlation network of highly volatile financial asset returns by using a network clustering algorithm to deal with high dimensionality issues. We analyze the dynamic correlation network of selected Japanese stock returns as an empirica...

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Detalles Bibliográficos
Autor principal: Isogai, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214240/
https://www.ncbi.nlm.nih.gov/pubmed/30443563
http://dx.doi.org/10.1007/s41109-017-0031-6