We propose a tool to predict risks to economic growth and international business cycles spillovers: the GDP-Network CoVaR. Our methodology to assess Growth-at-Risk is composed by two building blocks. First, we apply the network-based NETS methodology by Barigozzi and Brownlees to identify...

This study investigates the underlying reasons for banks' continued support of fossil fuel-based firms and examines the role of public guaranteed loans (PGLs) in redirecting resources towards greener economic activities, thereby facilitating the climate transition process. Using a unique...

The authors apply vector autoregression to firm-level panel data from 36 countries to study the dynamic relationship between firms' financial conditions and investment. They argue that by using orthogonalized impulse-response functions they are able to separate the "fundamental factors" (such as...