A novel approach of gravity strength centrality (GSC) model is proposed to identify the influential risk spreaders in Chinese financial networks. We also measure the systemic risk contribution of financial institutions via ∆CoVaR and detect the relationship between the risk spreading ability...

This paper studies the risk spreading ability of cryptocurrencies and their contribution to the systemic risk during the period from 2018 to 2022. Three different network centrality approaches are employed to measure the risk spreading ability of cryptocurrencies both in breadth and depth, and...

A novel approach of gravity strength centrality (GSC) model is proposed to identify the influential risk spreaders in cryptocurrency networks. We also validate the performance of GSC model in terms of discrimination and accuracy using methods such as individuation rate, imprecision function, and...

The immense attention to climate change risk has stimulated increasing interest in carbon markets and their linkages to other markets. This study investigates the dynamic volatility spillover relationships between the Chinese carbon and international energy markets, and the impact of extreme...

In this paper, by using the time-varying parameter vector autoregression model (TVP-VAR) with the asymmetric connectedness indicator and network dia- grams, we investigate the dynamic and asymmetric return connectedness in the global 'Carbon-Energy-Stock' system, including carbon markets and...