Cargando…
The Effect of the Underlying Distribution in Hurst Exponent Estimation
In this paper, a heavy-tailed distribution approach is considered in order to explore the behavior of actual financial time series. We show that this kind of distribution allows to properly fit the empirical distribution of the stocks from S&P500 index. In addition to that, we explain in detail...
Autores principales: | Sánchez, Miguel Ángel, Trinidad, Juan E., García, José, Fernández, Manuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4447444/ https://www.ncbi.nlm.nih.gov/pubmed/26020942 http://dx.doi.org/10.1371/journal.pone.0127824 |
Ejemplares similares
-
The Hurst Exponent as an Indicator to Anticipate Agricultural Commodity Prices
por: Pérez-Sienes, Leticia, et al.
Publicado: (2023) -
Measuring Hurst exponents with the first return method
por: Hansen, A, et al.
Publicado: (1994) -
Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences
por: Likens, Aaron D., et al.
Publicado: (2023) -
Modeling Predictability of Traffic Counts at Signalised Intersections Using Hurst Exponent
por: Chand, Sai
Publicado: (2021) -
Statistical Analysis of Hurst Exponents of Essential/Nonessential Genes in 33 Bacterial Genomes
por: Liu, Xiao, et al.
Publicado: (2015)