Module 6: Credit Products and Risk

Introduction to Credit Derivatives & Structural Models

  • Introduction to credit risk
  • Modelling credit risk
  • Basic structural models: Merton Model, Black and Cox Model
  • Advanced structural models

Credit Default Swaps

  • An Introduction to CDS
  • Default Modelling Toolkit. Inhomogenous Poisson Process
  • CDS Pricing: Basic and Advanced Models
  • Bootstrapping intensity from CDS market quotes
  • Accruals and upfront premium in CDS pricing

Intensity Models

  • Modelling default by Poisson Process
  • Relationship between intensity and arrival time of default
  • Risky bond pricing: constant vs. stochastic hazard rate
  • Bond pricing with recovery
  • Theory of affine models
  • Affine intensity models and use of Feynman-Kac
  • Two-factor affine intensity model example: Vasicek

CDO & Correlation Sense

  • CDO market pricing and risk management
  • Loss Function and CDO Pricing Equation
  • Motivation from loss distribution
  • What is Copula Function
  • Classification of Copula Functions
  • Simulating via Gaussian Copula
  • 3 Gaussian Copula Factor mode
  • The meaning of correlation. Intuition and timescale
  • Linear Correlation and its misuse
  • Rank Correlation
  • Correlation in exotic options
  • Uncertain correlation model for Mezzanine tranche
  • Compound (implied) correlation in Loss Distribution

X-Valuation Adjustment (CVA, DVA, FVA, MVA) Theory

  • Historical development of OTC derivatives and xVA
  • Credit and debt value adjustments (CVA and DVA)
  • Funding value adjustment (FVA)
  • Margin and Capital Value Adjustments (MVA and KVA)
  • Current market practice and application

X-Valuation Adjustment (CVA, DVA, FVA, MVA) Implementation

  • Implementation of counterparty credit valuation adjustment (CVA)
  • Review the numerical methodologies currently used to quantify CVA in terms of exposure and Monte Carol simulation and the Libor Market Model
  • Illustrate this methodology as well as DVA, FVA and others
Lecture order and content may occasionally change due to circumstances beyond our control; however this will never affect the quality of the program.