Structured Credit Modeling

This is a methodological course on the analysis of credit risk for single-name and multi-name credit products. The focus lies on quantitative models for assessing the value and risk of products like corporate bonds, credit default swaps and more complex portfolio products including various types of collateralized debt obligations (CDOs). The course will develop the models and whenever possible discuss the empirical evidence and experience on the performance of these models. The course is delivered using lectures and computer labs based on examples in Excel.

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The course is intended for professionals whose work exposes them to issues related to firm specific and portfolio credit risk. Among those who will benefit from the course are practitioners working as quantitative analysts, derivatives researchers and traders, credit risk managers, and credit analysts and researchers.
No advance preparation required.
Students will be able to:
  • Value a credit default swap using an equity-based and reduced form model
  • Estimate term structures of risk-adjusted default probabilities
  • Measure risk sensitivities of single-name credit derivatives
  • Develop a solid understanding of portfolio credit analytics such as the Gaussian Copula model
Some knowledge of derivatives theory would be an advantage
  • Accounting for Derivatives & Hedging
  • CSAP - Financial Modeling Module
  • Day One: Single-Name Credit Analystics
    Structural credit risk models
    • The Merton framework and recent extensions
    • Implementation methodologies
    • Empirical performance

    Reduced form models

    • Implementation methodologies
    • Empirical Performance

    Credit Default Swaps and Corporate Bonds

    • Funded vs. unfunded exposures
    • The role of asset swap
    • The basis

    Trading strategies

    • Long/short positions
    • Curve trades
    • Basis trades
    • Capital structure arbitrage

    Day Two: Basics of CDOs and Default Dependence
    CDA Structures and Tranches
    • Arbitrage vs. balance sheet transactions
    • Cash vs. synthetic structures
    • Funded vs. unfunded CDOs

    Basics of Default Dependence

      Simulating Correlated Defaults

        The Gaussian Copula

    Day Three: Collateralized Debt Obligations II
    CDA Valuation
    • The simplest case: the binomial model
    • A step by step implementation of the Gaussian Copula

    Implied Correlations

    • Computing implied correlations
    • Base correlations
    • Term structure effects

    CDO Risk Measures

      Pushing the Gaussian Copula

      • Computing implied correlations
      • Base correlations
      • Term structure effects

      Recent Product Innovations

      • Constant proportional portfolio insurance (CPPI)
      • Constant proportion debt obligations (CPDO)
      • Leverage superseniors

    Clients who register for this course will receive a complimentary 6 month subscription to the Financial Times and FT.com. The Financial Times is the world's most respected financial newspaper providing a broad assessment on finance, business and the industrial sector. Subscriptions will start within 6-8 weeks of the application process, and are limited to one per client. For questions about your subscriptions call 800-628-8088 or email uscirculation@ft.com. US and Canada enrollees only.

    Lunch included for all students taking day classes.