Correlation Risk Management and Modelling (2nd edition)
Correlation Risk Management and Modelling (2nd edition)
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Correlation risk was highlighted in the global financial crisis of 2007-09, when correlations between many financial variables, such as return correlation between equities, the default correlation between debtors or the default correlation between a debtor and an insurer, increased dramatically. This led to huge unexpected losses for many financial institutions, which in part triggered the global financial crisis.
Correlation Risk gives the reader an overview of the main correlation models:
Statistical; Deterministic financial (bottom-up & top-down models); and Stochastic financial.
The book discusses the conceptual, mathematical and computational properties of the models and evaluates their benefits and limitations for finance, making it valuable to anyone who is exposed to financial correlations and financial correlation risk, a big range! A must-read for upper management, risk managers, analysts, traders, compliance departments, model validation groups, controllers, reporting groups and brokers.
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Table of contents
1 Correlation Basics: Definitions, Applications, and Terminology
2 Empirical Properties of Correlation: How do Correlations Behave in the real World?
3 The Pearson Correlation Model – Work of the Devil?
4 Cointegration – A Superior Concept to Correlation?
5 Financial Correlation Modelling – Bottom-up Approaches
6 Valuing CDOs with the Gaussian Copula – What Went Wrong?
7 The One-Factor Gaussian Copula Model –Too Simplistic?
8 Financial Correlation Models – Top-Down Approaches
9 Stochastic Correlation Models
10 Quantifying Market Correlation Risk
11 Quantifying Credit Correlation Risk
12 Hedging Correlation Risk
13 Correlation Trading Strategies – Opportunities and Limitations
14 Credit Value at Risk under Basel III – Too Simplistic?
15 Basel III and XVAs
16 Fundamental Review of the Trading Book
17 The Future of Correlation Modelling