Realized volatilities, when observed through time, share the following stylized facts: co–movements, clustering, long–memory, dynamic volatility, skewness and heavy–tails. We propose a simple dynamic factor model that captures these stylized facts and that can be applied to vast panels of...

The asymptotic efficiency of the indirect estimation methods, such as the efficient method of moments and indirect inference, depends on the choice of the auxiliary model. Up to date, this choice is somehow ad hoc and based on an educated guess of the researcher. In this article we develop three...

We establish the asymptotic normality of marginal sample quantiles for S–mixing vector stationary processes. S–mixing is a recently introduced and widely applicable notion of dependence. Results of some Monte Carlo simulations are given.

We propose a simple network–based methodology for ranking systemically importantfinancial institutions. We view the risks of firms –including both the financial sectorand the real economy– as a network with nodes representing the volatility shocks. Themetric for the connections of the...

We introduce TailCoR, a new measure for tail correlation that is a function of linear and non–linear contributions, the latter characterized by the tails. TailCoR can be exploited in a number of financial applications, such as portfolio selection where the investor faces risks of linear and...

We estimate the parameters of an elliptical distribution by means of a multivariate extension of the Method of Simulated Quantiles (MSQ) of Dominicy and Veredas (2010). The multivariate extension entails the challenge of the construction of a function of quantiles that is informative about the...