Risk Management and Modelling

 

"I particularly appreciated the wealth of practical experience of the teacher."

- Head of Fund Products, Switzerland
Click for more comments

Course Outline

This course develops a set of tools essential for the accurate management of the wide range of risks encountered in capital markets. Techniques are applied cumulatively in a sequence of workshops that include Value at Risk and its limitations, practical uses of Monte Carlo simulations and different methods for estimating default probabilities.

Who The Course is For

  • Traders and Dealing Room Staff
  • Risk Managers
  • Middle Office and Senior Managers
  • Investors
  • Quantitative Analysts, Financial Engineers and Systems Developers
  • Structured Products Desks, Product Controllers and Researchers
  • Loan Portfolio Managers and Fund Managers
  • Credit Analysts and Credit Risk Managers

Tell a colleague about this course

Prior Knowledge

  • Numerate background (intermediate)
  • A good grounding in capital markets products and techniques
  • Microsoft Excel


This program is eligible for 16 Continuing Education credit hours from the CFA Institute. If you are a CFA Institute member, CE credit for your participation in this program will be automatically recorded in your CE Diary.


photos Brochure with Booking Form   |   Register to Receive Updates

Day One

Introduction and risk management toolbox

  • Why risk management?
  • Lessons from history
  • Risk management and the credit crisis
  • The limitations of models
  • Volatility and correlation
  • Quantiles
  • Fat tails and extreme dependency
  • Value-at-risk (VAR) and expected shortfall

Workshop: Characterising risk using simple distributions and studying the properties of coherent risk measures with simple examples

Market Risk

  • Introduction to market risk
  • Time horizon and confidence level
  • The three classic methods for quantifying market risk
  • Marginal and incremental VAR
  • Stress testing

Workshop: Calculating the VAR, marginal and incremental VAR on a simple portfolio using:

  • i) Variance-covariance approach
  • ii) Historical simulation
  • iii) Monte Carlo simulation

Credit risk

  • Issuer and default risk, default rates
  • Credit ratings, migration and transition matrices
  • Merton type approaches to assess default probability
  • Credit default swaps
  • Implied default probability

Workshop: Calculation of bond returns via transition probabilities and comparison to a normal distribution. Calculation of default probability using Merton style and market implied approaches


Day Two

Credit portfolio risk

  • Credit risk and double default
  • Credit correlation
  • Traditional approach to credit modelling
  • Credit loss distributions, credit VAR and marginal credit VAR

Workshop: Computation of credit portfolio losses and looking at the relative benefit of each asset using marginal VAR (and marginal expected shortfall)

Liquidity Risk

  • Introduction to liquidity risk
  • Empirical evidence on liquidity
  • Death spirals
  • Price impact of liquidation
  • Liquidity risk VAR

Workshop: Building a model to assess the price impact of a large liquidation and working out the optimal time for liquidation of a large trade

Operational Risk

  • Operational risk and Basel
  • Modelling event probability
  • Modelling event severity

Workshop: Estimation of operational risk VAR using Poisson distribution and EVT approach

Integration of different risk types

  • Combining capital numbers
  • Why market risk and credit risk are inextricably linked
  • Counterparty credit risk and CVA (credit value adjustment)
  • Wrong-way risk
  • Transformation of credit risk into market risk
  • Transformation of credit risk into gap risk

Risk management and modelling – lessons from the crisis

Copyright © London Financial Studies