Investment in renewable energy is vital, not just for the climate, but also for energy security.
However, most studies on renewable energy focus on its drivers; there is still limited …

We propose interconnected networks through the network VAR model, which can
simultaneously investigate the risk connectedness of intra-and inter-layer. Using the …

We propose multilayer networks in the frequency domain, including the short-term, medium-
term, and long-term layers, to investigate the extreme risk connectedness among financial …

Purpose Stock market performance is paramount to every country, as it signifies economic
growth, business performance, wealth maximization, savings deployment and consumer …

Multilayer connectedness networks are a promising tool for unveiling the contagion
mechanism of financial risk. This paper constructs multilayer connectedness networks in the …

The COVID-19 vaccine rollout expects to mitigate the severe negative impacts of the
pandemic on global financial markets. Our study provides supporting evidence for this …

We examine directional connectedness patterns from news and social media to financial
market volatility using textual analysis and high-frequency data. We find that media …

This study investigates the co-movement patterns of Asia technology stock indices and
cryptocurrencies during the COVID-19 pandemic. The analysis examines Bitcoin and …

We construct multilayer networks in the frequency domain, including short-term, medium-
term, and long-term connectedness networks, to examine the volatility connectedness …

This paper proposes an interconnected network, including the volatility layer and sentiment
layer, to examine imported financial risk in global stock markets. We compare and explore …