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This book offers new insights on banking business models, risks and regulation proposals in the aftermath of the European financial crisis. It investigates the main issues affecting the business of banking nowadays, such as low interest rates and non-performing loans. The combined effect of low to negative interest rates and weak economic growth has encouraged banks to shift their business towards new areas less associated with interest rates, which financial markets and institutional investors are currently evaluating. Contributions also shed new light on topics not yet fully investigated by current literature, such as banks’ short selling bans after Brexit, the European Deposit Guarantee Scheme and banks’ risk appetite framework. This book will be of interest to researchers, scholars and practitioners.
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Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.