Cargando…
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...
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 |
Ejemplares similares
-
Building a dynamic correlation network for fat-tailed financial asset returns
por: Isogai, Takashi
Publicado: (2016) -
Pandemic effect on corporate financial asset holdings: Precautionary or return-chasing?
por: Gao, Haoyu, et al.
Publicado: (2022) -
Covid-19 pandemic and tail-dependency networks of financial assets
por: Le, Trung Hai, et al.
Publicado: (2021) -
An investigation into the effects and effectiveness of correlation network filtration methods with financial returns
por: Millington, Tristan
Publicado: (2022) -
Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?
por: Maghyereh, Aktham, et al.
Publicado: (2022)