This study investigates the dynamics of the sovereign CDS term premium for five European countries. The CDS term premium can be regarded as a forward-looking measure of idiosyncratic sovereign default risk as perceived by financial markets. Using a Markov-switching unobserved component model, we...

Using novel monthly data for 226 euro-area banks from 2007 to 2015, we investigate the determinants of changes in banks’ sovereign exposures and their effects during and after the euro crisis. First, the publicly owned, recently bailed out and less strongly capitalized banks reacted to...

This paper identifies the various channels that give rise to a "sovereign-bank nexus" whereby the financial health of banks and sovereigns is intertwined. We find that banks and sovereigns are linked by three interacting channels: banks hold large amounts of sovereign debt; banks are protected...

Recent policy discussion includes the introduction of diversification requirements for sovereign bond portfolios of European banks. In this paper, we evaluate the possible effects of these constraints on risk and diversification in the sovereign bond portfolios of the major European banks....

Euro area governments have committed to break the doom loop between banks and sovereigns. But policymakers disagree on how to treat sovereign exposures in bank regulation. Our contribution is to model endogenous sovereign portfolio reallocation by banks in response to regulatory reform....

With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...

Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...

A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...