We utilize network analysis to evaluate the relationship between firms' characteristics and board of director networks. In a sample of 20 largest firms by market value from the energy and the utility industrials, 10 from each sector, we cluster the firms by their firm-level characteristics, as...

The paper investigates whether one can learn about the degree of climate risk exposure of firms by extracting information about their fundamentals and network connections and applying innovative graph-based artificial intelligence (AI) methodologies. We tackle this problem by creating a...