The study of heavy-tailed distributions in economic and financial systems has been widely addressed since financial time series has become a research subject.After the eighties, several "highly improbable" market drops were observed (e.g. the 1987 stock market drop known as "Black Monday" and on...

We consider the evolution of scale-free networks according to preferential attachment schemes and show the conditions for which the exponent characterizing the degree distribution is bounded by upper and lower values. Our framework is an agent model, presented in the context of economic networks...

We address the problem of banking system resilience by applying off-equilibrium statistical physics to a system of particles, representing the economic agents, modelled according to the theoretical foundation of the current banking regulation, the so called Merton-Vasicek model. Economic agents...

We introduce a simple model for addressing the controversy in the study of financial systems, sometimes taken as brownian-like processes and other as critical systems with fluctuations of arbitrary magnitude. The model considers a collection of economical agents which establish trade connections...

We propose a statistical mechanics approach to the problem of financial network reconstruction and systemic risk when participants benefit from bilateral netting agreements. We apply physical reasoning to directly estimate individual financial liabilities from data on both total gross and net...

We study the coevolutionary dynamics of knowledge creation and diffusion with the formation of R&D collaboration networks. The novel examination of a large R&D collaboration network over several decades reveals a pronounced oscillatory (cyclical) pattern in the R&D collaboration intensity, which...