This paper provides a simple, yet reliable, alternative to the (Bayesian) estimation of large multivariate VARs with time variation in the conditional mean equations and/or in the covariance structure. With our new methodology, the original multivariate, n-dimensional model is treated as a set...

Using Bayesian Monte Carlo methods, we augment a stochastic distance function measure of bank efficiency and productivity growth with indicators of capitalization, return and risk. Our novel Multiple Indicator-Multiple Cause (MIMIC) style model generates more precise estimates of policy relevant...

On February 24, 2022, Russia invaded Ukraine. In this paper, we analyze the response of European and worldwide stock markets and a representative sample of commodities to this event and compare it against the recent Covid-19 pandemic and the not-too-distant 2008 global financial crisis. We...

This paper attempts to reveal the impact of the right jump tail on the dynamics and term structures of volatility-of-volatility (VVIX) and variance-of-variance risk premium (VVRP) based on the VIX index while examining the return predictability implicit in the VIX market. In a simulation study...