ABSTRACT

Recent advances in empirical finance have shown that the adoption of network theory is critical in order to understand contagion and systemic vulnerabilities. While interdependencies among financial markets have been widely examined, only a few studies review networks, and they do not focus on the econometrics aspects. This paper presents a state-of-the-art review on the interface between statistics and econometrics in the inference and application of Bayesian graphical models. We specifically highlight the connections and possible applications of network models in financial econometrics in the context of systemic risk.