Cargando…
Complex network analysis of volatility spillovers between global financial indicators and G20 stock markets
This paper analyses the dynamic transmission mechanism of volatility spillovers between key global financial indicators and G20 stock markets. To examine volatility spillover relations, we combine a bivariate GARCH-BEKK model with complex network theory. Specifically, we construct a volatility netwo...
Autores principales: | Korkusuz, Burak, McMillan, David G., Kambouroudis, Dimos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463059/ https://www.ncbi.nlm.nih.gov/pubmed/36106329 http://dx.doi.org/10.1007/s00181-022-02290-w |
Ejemplares similares
-
Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets
por: Sahiner, Mehmet, et al.
Publicado: (2023) -
Volatility connectedness of GCC stock markets: how global oil price volatility drives volatility spillover in GCC stock markets?
por: Hussain, Muntazir, et al.
Publicado: (2022) -
Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises
por: Karanasos, M., et al.
Publicado: (2021) -
Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic
por: Vuong, Giang Thi Huong, et al.
Publicado: (2022) -
The impact of pandemic on dynamic volatility spillover network of international stock markets
por: Lan, Tingting, et al.
Publicado: (2023)