Stress Testing and Risk Integration in Banks A Statistical Framework and Practical Software Guide (in Matlab and R)
Auteur : Bellini Tiziano
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.
Chapter 1: Introduction to Stress Testing and Risk Integration
Chapter 2: Macroeconomic Scenario Analysis from a Bank Perspective
Chapter 3: Asset and Liability Management, and Value at Risk
Chapter 4: Portfolio Credit Risk Modeling
Chapter 5: Balance Sheet, and Profit and Loss Stress Testing Projections
Chapter 6: Regulatory Capital, RWA, Leverage, and Liquidity Requirements Under Stress
Chapter 7: Risk Integration
Chapter 8: Reverse Stress Testing
Graduate students and professionals worldwide students specializing in banking and bank regulation professionals.
- 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
Date de parution : 11-2016
Ouvrage de 316 p.
15x22.8 cm