Recent interest in "Risk Management"has highlighted the relevance of Bayesian analysis for robust monetary-policy making. This paper sets out a comprehensive methodology for designing policy rules inspired by such considerations. We design rules that are robust with respect to model uncertainty...

We examine the existence of physical and transition climate risk premia in euro area equity markets. To do so, we develop two novel physical and transition risk indicators, based on text analysis, which are then used to gauge the presence of climate risk premia. Results suggest that climate risk...

This paper applies regression analysis to investigate the fundamental factors of the variation of CDS index tranches. The sample comprises daily data on the tranche premia of the European iTraxx and North American CDX index from the start of the market in summer 2004 to January 2008. I estimate...

This paper proposes a set of indicators relevant for the risk characteristics of covered bonds, as based on granular publicly available transparency data. The indicators capture various aspects of cash flow risks related to the issuer, the cover pool and the payment structure. They offer unified...

We address the question to what extent a central bank can de-risk its balance sheet by unconventional monetary policy operations. To this end, we propose a novel risk measurement framework to empirically study the time-variation in central bank portfolio credit risks associated with such...

While global supply chains have recently gained attention in the context of the Covid-related crisis as well as the war in Ukraine, their role in transmitting and amplifying climate-related physical risks across countries has received surprisingly little attention. To address this shortcoming,...