Abstract
Banks’ activity is challenged by the macroeconomic, financial and regulatory environment emerging from the financial crisis. Slower economic growth, low interest rates, more stringent regulation on capital and liquidity, the need to decrease leverage for a number of banks, increased market scrutiny following the new rules on crisis management have put pressure on pre-crisis Bank Business Models and highlighted the need for banks to renew the way in which they operate. In this paper we propose a new methodology to group European banks and identify different Business Models and Peer Groups in a machine learning framework. We then analyse the relationship between Business Models and a set of bank performance indicators and how this relationship has changed over time.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
