Cargando…
Mutual information based stock networks and portfolio selection for intraday traders using high frequency data: An Indian market case study
In this paper, we explore the problem of establishing a network among the stocks of a market at high frequency level and give an application to program trading. Our work uses high frequency data from the National Stock Exchange, India, for the year 2014. To begin, we analyse the spectrum of the corr...
Autores principales: | Sharma, Charu, Habib, Amber |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715228/ https://www.ncbi.nlm.nih.gov/pubmed/31465507 http://dx.doi.org/10.1371/journal.pone.0221910 |
Ejemplares similares
-
Asymmetric dependence of intraday frequency components in the Brazilian stock market
por: Carvalho, Marcela de Marillac, et al.
Publicado: (2021) -
Nonlinear intraday trading invariance in the Russian stock market
por: Teplova, Tamara, et al.
Publicado: (2022) -
A mutual information based R-vine copula strategy to estimate VaR in high frequency stock market data
por: Sharma, Charu, et al.
Publicado: (2021) -
Intraday News Trading: The Reciprocal Relationships Between the Stock
Market and Economic News
por: Strauß, Nadine, et al.
Publicado: (2017) -
Stock market efficiency: An intraday case of study about the G-20 group
por: Zebende, G.F., et al.
Publicado: (2022)