An Introduction To Stress Testing And Risk Integration In Banks Academic Press An Imprint Of Elsevier
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Stress Testing and Risk Integration in Banks
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
An Introduction to Stress Testing and Risk Integration in Banks Academic Press (an Imprint of Elsevier).
Since the 2007-09 crisis, increasing attention has been devoted to capital adequacy and balance sheet integrity. Banks have been required to improve the quality of their own funds, strengthen their liquidity structure, and enforce their risk management processes. This paper serves the purpose of introducing the book Stress testing and risk integration in banks. The latter outlines the regulatory response to the recent financial crunch. On this subject, stress tests and risk integration are useful tools to enhance bank resilience against adverse conditions. The illustrative example of Bank Alpha points out how an international bank runs its business. It is used throughout the book to point out all complex challenges one needs to face when modelling risks. As in an executive summary, this introduction highlights some of Bank Alphas main stress testing and risk integration results. Finally, a practical guide to explore the text is provided. It serves as a map for the reader looking for orientation during the deep-dive journey.
Reverse Stress Testing in Banking
Author: Michael Eichhorn
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2021-05-10
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.