Reverse stress testing was introduced in risk management as a regulatory tool for financial institutions more than a decade ago. The recent Covid-19 crisis illustrates its relevance and highlights the need for a systematic re-thinking of tail risks in the banking sector. This book addresses the need for practical guidance describing the entire reverse stress testing process. Reverse Stress Testing in Banking features contributions from a diverse range of established practitioners and academics. Organized in six parts, the book presents a series of contributions providing an in-depth understanding of: Regulatory requirements and ways to address them Quantitative and qualitative approaches to apply reverse stress testing at different levels – from investment portfolios and individual banks to the entire banking system The use of artificial intelligence, machine learning and quantum computing to gain insights into and address banks’ structural weaknesses Opportunities to co-integrate reverse stress testing with recovery and resolution planning Governance and processes for board members and C-suite executives Readers will benefit from the case studies, use cases from practitioners, discussion questions, recommendations and innovative practices provided in this insightful and pioneering book.

Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies. - Provides a rigorous statistical framework for modeling stress test in line with U.S. Federal Reserve FRB CCAR (Comprehensive Capital Analysis Review), U.K. PRA (Prudential Regulatory Authority), EBA (European Baning Authorithy) and comply with Basel Accord requirements - Follows an integrated bottom-up approach central in the most advanced risk modelling practice - Provides numerous sample codes in Matlab and R

This paper explains specifics of stress testing at the IMF. After a brief section on the evolution of stress tests at the IMF, the paper presents the key steps of an IMF staff stress test. They are followed by a discussion on how IMF staff uses stress tests results for policy advice. The paper concludes by identifying remaining challenges to make stress tests more useful for the monitoring of financial stability and an overview of IMF staff work program in that direction. Stress tests help assess the resilience of financial systems in IMF member countries and underpin policy advice to preserve or restore financial stability. This assessment and advice are mainly provided through the Financial Sector Assessment Program (FSAP). IMF staff also provide technical assistance in stress testing to many its member countries. An IMF macroprudential stress test is a methodology to assess financial vulnerabilities that can trigger systemic risk and the need of systemwide mitigating measures. The definition of systemic risk as used by the IMF is relevant to understanding the role of its stress tests as tools for financial surveillance and the IMF’s current work program. IMF stress tests primarily apply to depository intermediaries, and, systemically important banks.

Reverse stress tests can be a useful tool to evaluate bank resilience to a credit shock, especially in environments where financial data are limited or opaque. This paper develops a simple and transparent country-level banking sector resilience indicator that focuses on tail risks, the Consolidated Distance to Breakpoint. Based on individual bank reverse stress test results, this novel metric quantifies the increase in nonperforming loans needed to deplete capital buffers for a subset of the most fragile banks that collectively represent at least 20 percent of total banking system assets, a level commonly associated with a systemic banking crisis. The paper calculates the Consolidated Distance to Breakpoint using public data for more than 1,500 banks in 59 emerging market and developing economies during the COVID-19 pandemic. The paper explores the value added of this metric in relation to widely used country-level macro-financial and soundness indicators. The results show that the association of the Consolidated Distance to Breakpoint with these macro-financial and financial soundness indicators is limited. This suggests that this new indicator encapsulates complementary information, possibly because aggregate measures may obscure challenges in individual banks. As such, the Consolidated Distance to Breakpoint metric could serve as a useful input to establish a basic understanding of a banking sector's resilience.

Central banks have become part of our modern life. Understanding their operations and policies is important, even to a layperson. At the core of their mission is financial stability. The stress test is one of the tools that Central Banks (or monetary authorities) use to assess how sound commercial banks are within their jurisdictions at any point in time. Bank stress testing is designed to test the resilience of banks to severe but plausible shocks. These scenarios are conceived around a fall of asset prices, a shock to interest rates, a reassessment of risk premiums or a large depreciation to correct an external imbalance. Nonetheless, passing a stress test does not provide a blind assurance that a financial institution is safe and outside the reach of collapse. This book aims to educate on the risks tested and the methods often used in stress testing. It is the first book in its field to make a comprehensive and up-to-date analysis of stress testing, including climate risk.

A timely and robust discussion of responsible bank stewardship and practice. The Second Edition of The Principles of Banking offers banking professionals, regulators, and students from a variety of backgrounds an authoritative and practical discussion of the foundations of modern banking and good banking practice. In the book, you'll find a comprehensive roadmap to a more sustainable business model for your banking organization. The author draws on his many years' experience as a commercial and investment banker as he explains the original principles of banking—including sound lending policy, capital management, and liquidity risk management—as well as new material covering the impact of COVID-19 on banks, risk management, and balance sheet management. The Principles of Banking also provides recommendations for bank asset-liability management best practices that enable banks to deliver optimized balance sheets for the benefit of all stakeholders. It also includes new chapters in market risk management, foreign exchange risk management, interest rate risk, and credit risk policy and management. An essential update to a widely read and taught banking text, The Principles of Banking, Second Edition is an indispensable resource for banking professionals and students everywhere.

Over the last decade, stress testing has become a central aspect of the Fund’s bilateral and multilateral surveillance work. Recently, more emphasis has also been placed on the role of insurance for financial stability analysis. This paper reviews the current state of system-wide solvency stress tests for insurance based on a comparative review of national practices and the experiences from Fund’s FSAP program with the aim of providing practical guidelines for the coherent and consistent implementation of such exercises. The paper also offers recommendations on improving the current insurance stress testing approaches and presentation of results.