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The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with...
Persistent link: https://www.econbiz.de/10011804385
We study the relationship between banks' size and risk-taking in the context of supranational banking supervision. Consistently with theoretical work on banking unions and in contrast to analyses emphasising incentives under- pinned by the too-big-to-fail effect, we find an inverse relationship...
Persistent link: https://www.econbiz.de/10012627903
Persistent link: https://www.econbiz.de/10012607817
We study the relationship between banks’ size and risk-taking in the context of supranational banking supervision. Consistently with theoretical work on banking unions and in contrast to analyses emphasising incentives underpinned by the too-big-to-fail effect, we find an inverse relationship...
Persistent link: https://www.econbiz.de/10013210707
The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with...
Persistent link: https://www.econbiz.de/10011656196
Outlier detection in high-dimensional datasets poses new challenges that have not been investigated in the literature. In this paper, we present an integrated methodology for the identification of outliers which is suitable for datasets with higher number of variables than observations. Our...
Persistent link: https://www.econbiz.de/10011916875
Persistent link: https://www.econbiz.de/10012191052
Persistent link: https://www.econbiz.de/10013169203
Outlier detection in high-dimensional datasets poses new challenges that have not been investigated in the literature. In this paper, we present an integrated methodology for the identification of outliers which is suitable for datasets with higher number of variables than observations. Our...
Persistent link: https://www.econbiz.de/10011881086
Outlier detection in high-dimensional datasets poses new challenges that have not been investigated in the literature. In this paper, we present an integrated methodology for the identification of outliers which is suitable for datasets with higher number of variables than observations. Our...
Persistent link: https://www.econbiz.de/10012913598