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How to apply operational risk theory to real-life banking data Modelling Operational and Reputational Risks shows practitioners the best models to use in a given situation, according to the type of risk an organization is facing. Based on extensive applied research on operational risk models using real bank datasets, it offers a wide range of various testing models and fitting techniques for financial practitioners. With this book, professionals will have a foundation for measuring and predicting these important intangibles. Aldo Soprano (Madrid, Spain) is Group Head of operational risk management at UniCredit Group.
Robust management of liquidity risk within the changing regulatory framework Liquidity Management applies current risk management theory, techniques, and processes to liquidity risk control and management to help organizations prepare in case of future economic crisis and changing regulatory framework. Based on extensive research conducted on banks' datasets, this book addresses the practical challenges and critical issues that frequently go unmentioned, and discusses the recent impact of sovereign crises on banks' liquidity processes and approaches. Market practices and regulatory stances are reviewed and compared to bank treasuries' response to liquidity crunches, refinancing risks are exp...
The book covers alternative lending using the emergence of Debt Funds in the EU as a case study. The book explores the risks that they can pose to financial stability, and the regulatory and supervisory tools available to mitigate these risks. Through this analysis, the book uncovers the risks and potential risk mitigation tools that can be applied to the alternative lenders–including debt funds and other potential alternative lenders. After identifying the reasons behind the growth of alternative lenders (using as example the assets of Alternative Investment Funds (AIFs) and in particular debt funds) and the simultaneous decrease of the banks’ assets, the book analyses the systemic impo...
Developing techniques for assessing various risks and calculating probabilities of ruin and survival are exciting topics for mathematically-inclined academics. For practicing actuaries and financial engineers, the resulting insights have provided enormous opportunities but also created serious challenges to overcome, thus facilitating closer cooperation between industries and academic institutions. In this book, several renown researchers with extensive interdisciplinary research experiences share their thoughts that, in one way or another, contribute to the betterment of practice and theory of decision making under uncertainty. Behavioral, cultural, mathematical, and statistical aspects of risk assessment and modelling have been explored, and have been often illustrated using real and simulated data. Topics range from financial and insurance risks to security-type risks, from one-dimensional to multi- and even infinite-dimensional risks. The articles in the book were written with a broad audience in mind and should provide enjoyable reading for those with university level degrees and/or those who have studied for accreditation by various actuarial and financial societies.
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