We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...

Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlomethod for Bayesian analysis of models with ill-behaved posteriordistributions. In order to sample efficiently from such a distribution,a location-scale transformation and a transformation to polarcoordinates are used. After...

This discussion paper resulted in a publication in: (W. Jansen and J.G. Bethlehem eds.) 'Compstat 2000, Statistics Netherlands', 2000, pages 13-14.<P> Adaptive Polar Sampling is proposed as an algorithm where random drawings aredirectly generated from the target function (posterior) in...</p>