Financial network models are a useful tool to model interconnectedness and systemic risks in financial systems. They are essentially descriptive, and based on highly correlated networks. In this paper we embed them in a stochastic framework, aimed at a more parsimonious and more realistic...

Systemic risk modelling concerns the estimation of the interrelationships between financial institutions, with the aim of establishing which of them are more central and, therefore, more contagious/subject to contagion. The aim of this paper is to develop a novel systemic risk model. A model...

The recent European sovereign debt crisis clearly illustrates the importance of measuring the contagion effects of bank failures. Indeed, to better understand and monitor contagion risk, the European Central Bank is assuming the supervision of the largest banks in each of the member states. We...

I employ distribution dynamics techniques to assess labor productivity convergence across;Italian regions in the period 1980-2003. In particular, I investigate four different convergence hypotheses, namely: absolute, conditional, neoclassical and technological. Consistently with the majority of...

This paper applies the Dowrick and Rogers (2002) diffusion model to manufacturing sectors, identified by the technological content of their production, as according the taxonomy of Lall (2000b). The aim of the study is disentangling neoclassical from technological convergence, in a panel of 50...