Cargando…
Modeling risk dependence and portfolio VaR forecast through vine copula for cryptocurrencies
Risk in finance may come from (negative) asset returns whilst payment loss is a typical risk in insurance. It is often that we encounter several risks, in practice, instead of single risk. In this paper, we construct a dependence modeling for financial risks and form a portfolio risk of cryptocurren...
Autores principales: | Syuhada, Khreshna, Hakim, Arief |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757910/ https://www.ncbi.nlm.nih.gov/pubmed/33362227 http://dx.doi.org/10.1371/journal.pone.0242102 |
Ejemplares similares
-
Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies
por: Cheng, Jie
Publicado: (2023) -
Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach
por: Syuhada, Khreshna, et al.
Publicado: (2022) -
Stochastic modeling of mortality rates and Mortality-at-Risk forecast by taking conditional heteroscedasticity effect into account
por: Syuhada, Khreshna, et al.
Publicado: (2021) -
Modifying (M)CoVaR and constructing tail risk networks through analytic higher-order moments: Evidence from the global forex markets
por: Hakim, Arief, 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)