New York Programme

Day one – Wednesday 13 October 2010

08:30 - Registration and coffee

  • Historical development of model validation
  • Late 1980’s – early 1990’s: uncertain beginnings
  • Mid 1990’s: Pioneering quants press on
  • Late 1990’s: the concept begins to take hold
  • Post 9/11: enter the regulators
  • 2005 – 2008: model validation comes of age
  • Post 2008: global financial meltdown
  • Case study: the agony and ecstasy of model validation

Jon Hill, Vice President, Head of Model Validation, Internal Audit Department, Morgan Stanley

10:30 - Morning break

11:00 - Model development and the model management framework at KBC

  • Perspectives on model development
  • Objectives of a model management framework
  • Our initial implementation of a model management framework
  • Case studies from structured finance, asset management, and proprietary trading
  • Updates to the model management framework
  • Current challenges:
    - Comprehensive risk model development
    - Validation for bespoke tranches.

Craig Wotherspoon, Executive Vice President, Head of Quantitative Analysis, KBC Financial Products

12:30 - Lunch

13.30 - Validating market risk models: a practical approach

  • Market risk models: general, specific, incremental risk charge
  • Market risk model components
  • Validation of model components
  • Risk factor identification and distributions
  • Regulatory requirements
  • Performance monitoring and backtesting procedures

Douglas Gardner, Managing Director, Head of Model Validation, Wells Fargo Securities

15:00 - Afternoon break

15:30 - Validating credit risk models: a practical approach

  • The general framework for counterparty credit risk at the enterprise level
    - Structural models
    - Reduced form models
  • The advantages and disadvantages of each types of models
  • Structural models in a simple example
    - The main inputs: PD, LGD, EAD, asset correlation, etc
    - The estimation of the main inputs
  • Case study: validation of a credit risk model
    - The validation of the framework
    - The validation of estimation methods for inputs
    - Model performance test
    - Stress testing

Xiaozhong Liang, Vice President, Model Validation, State Street Corporation

17:00 - End of the day

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Day two – Thursday 14 October

08:30 - Registration and coffee

09:00 - Validation of internal models required by regulators

  • Internal models for market risk : the old and the new
  • Focus on the new internal models for market risk on the trading book
  • Internal models vs. valuation/risk-management models
  • Risk-driven internal models : the use test

Jerome Brun, Head of Model Validation, Market Risk, Société Générale

10:30 - Morning break

11:00 - Model risk and its presence in FX derivatives

  • Model risk and risk management
  • Time scales and models
  • Liquidity model limitations
  • Which model should we use?
  • Model risk, model reserves, and bid-offer spreads
  • Models and Parameters
  • Model quality assurance validation and model risk
  • Goals and procedures for model quality assurance validation
  • Case studies: FX derivatives

Jan Dash, President, J. Dash Consultants LLC

12:30 - Lunch

13:30 - Validation of credit default swaps (CDS)

  • Overview of standard model - JP Morgan
  • Inputs to the model: yield curves, credit spread curve and recovery rate
  • Good profit and loss examined:
    - Theta
    - Par rate delta
    - Credit delta
    - Credit gamma
    - Recovery delta
    - Recovery gamma
    - Cost of funding
    - Cost of tenor sensitivity
  • Risk sensitivity should be given in terms of market observable CDS
  • Review of new CDS ISDA trading conventions

Sanja Hukovic, Head of EMEA Model Review, UBS

15:00 - Afternoon break

15:30 - Model validation for equity derivatives

  • Regulatory mandates and guidance
  • Model validation and model risk for equity derivatives: various views and goals
  • Approaches to model validation for equity derivatives
  • Review of model theory and modeling approaches
    - Model implementation, reviews and tests
    - Process and (Input) data reviews
    - Reviews of actual model use and purpose
    - Benchmark against other modeling and implementation choices
    - Testing environments for pricing systems, validations, and benchmarking
  • Example case study

Bernhard Hientzsch, Director, SIG Model Validation & Approval, Wells Fargo Securities

17:00 - End of the course