Cargando…
A moving-window bayesian network model for assessing systemic risk in financial markets
Systemic risk refers to the uncertainty that arises due to the breakdown of a financial system. The concept of “too connected to fail” suggests that network connectedness plays an important role in measuring systemic risk. In this paper, we first recover a time series of Bayesian networks for stock...
Autores principales: | Chan, Lupe S. H., Chu, Amanda M. Y., So, Mike K. P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858016/ https://www.ncbi.nlm.nih.gov/pubmed/36662719 http://dx.doi.org/10.1371/journal.pone.0279888 |
Ejemplares similares
-
Financial Network Connectedness and Systemic Risk During the COVID-19 Pandemic
por: So, Mike K. P., et al.
Publicado: (2021) -
Assessing systemic risk in financial markets using dynamic topic networks
por: So, Mike K. P., et al.
Publicado: (2022) -
Standardized local assortativity in networks and systemic risk in financial markets
por: So, Mike K. P., et al.
Publicado: (2023) -
Understanding Systemic Risk in Global Financial Markets
por: Gottesman, Aron
Publicado: (2017) -
Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods
por: Sahiner, Mehmet
Publicado: (2022)