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 explored in the context of Basel 3, and alternative funding is analyzed in terms of resilience and allocation. Coverage includes the recent crisis, new regulations, and the techniques, processes, and strategies banks use in managing liquidity risk. The 2008 and 2010 crises brought liquidity risk out of the shadows as even profitable and well-capitalized banks were swept away with breathtaking speed. This book reviews modeling and internal process design in the context of the structural change in market conditions on banks' refinancing and control requirements, helping readers rethink and re-design their organization's approach to liquidity risk. Understand the new liquidity regulatory framework and the implications for banks Study the latest liquidity measurement models, with stress testing and scenario analysis Discover the effect of illiquid financing markets and possible lasting impacts Compare market liquidity and warning signals that detect further deterioration With much of the world still reeling from history, it's important that liquidity risk become a major focus going forward. This practical guide provides valuable information, but also real, actionable steps that can be taken today to forecast and mitigate risks with an eye toward greater stability and security. Liquidity Management is a thorough, comprehensive guide to a more robust management of liquidity risk.
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.