The assessment of the health impacts of the COVID-19 pandemic requires the consideration of mobility networks. To this aim, we propose to augment spatio-temporal point process models with mobility network covariates. We show how the resulting model can be employed to predict contagion patterns...

We develop a minimalist compartmental model to analyze policies on mobility restriction in Italy during the COVID-19 outbreak. Our findings show that a early lockdowns barely shift the epidemic in time: moreover, beyond a critical value of the lockdown strength, an epidemic that seems to be...

Robot advisory services are rapidly expanding, responding to a growing interest people have in directly managing their savings. Robot advisors may reduce costs and improve the quality of the service, making user involvement more transparent. However, they may underestimate market risks,...

We propose a distress measure for national banking systems that incorporates not only banks' CDS spreads, but also how they interact with the rest of the global financial system via multiple linkage types. The measure is based on a tensor decomposition method that extracts an adjacency matrix...