In this paper we propose a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter () of a linear quantile lasso regression. The FRM is calculated by taking the average of the penalization parameters over the 100 largest US publicly...

The interdependence, dynamics and riskiness of financial institutions are the key features frequently tackled in financial econometrics. We propose a Tail Event driven Network Quantile Regression (TENQR) model which addresses these three aspects. More precisely, our framework captures the risk...

In order to integrate and facilitate the research, calculation and analysis methods around the Financial Risk Meter (FRM) project, the R package RiskAnalytics has been developed. Its main goal is to provide data processing and parallelized quantile lasso regression methods for risk analysis...

"Relatively little is known so far about financial stability and long-term resilience within the global banking sector. The complexity and diversity of banking financial instruments and transactions leads to substantial information asymmetries, and promotes several agency conflicts. Moreover,...

Das Ziel der vorliegenden Dissertation ist es, ein besseres Verständnis von systemischen Risiken auf Interbankenmärkten zu entwickeln. Die Bedeutung systemischer Risiken für die Stabilität des gesamten Finanzsystems ist durch die internationale Finanzkrise der Jahre 2007/2008 deutlich...

Main description: Jagdish Bhagwati, one of the world's leading economists, offers a fascinating overview of the perils and promise facing the world trading system. That system is now being subjected to powerful centrifugal forces. Concerns with unfair trade are rampant, managed trade is...