We study how aggregate volatility is influenced by the propagation of idiosyncratic shocks across firms through the network of ownership relations. We use detailed data on cross-holdings as well as the relevant balance sheet information for almost the entire universe of Italian limited liability...

Firm volatilities co-move strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. In the cross section, smaller firms and firms with a more concentrated customer base display higher volatility. Network effects are essential to explaining the...

We introduce a conditional volatility model that combines persistent volatility dynamics with spillovers from a wide cross-section of assets. We use elastic net estimation on a large, restricted VAR of realized measures to model these volatility dynamics. We show that despite the many parameters...

We propose a spatiotemporal approach for modeling risk spillovers using time-varying proximity matrices based on observable financial networks and introduce a new bilateral specification. We study covariance stationarity and identification of the model, and analyze consistency and asymptotic...