Effective Market Risk Management
Managing risk effectively, going beyond the basics of measurement and policy
Course Highlights
Attend this intensive two-day training course and benefit from:
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A critical look at risk and how it can be managed and controlled
- Understanding current best practice and why it is best practice in risk management
- A critical look at Value-At-Risk: Why do regulators like it, where does it fail and what can be done about it?
- Alternatives to VaR, including ‘Stress and Scenarios’
- Incorporating and managing non-linear risks
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Risk measurement and management for hedge fund and traditional fund managers
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Regulatory impact and requirements for risk management and capital
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Incorporating new products and risks
For details of the course trainer, please download the course brochure
Booking Information
| Dates | Prices | Book This Course | Discount |
|---|---|---|---|
| 29 - 30 Nov 2010 |
£ 1899 |
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|
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| 20 - 21 Jun 2011 |
£ 1899 |
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|
Course Programme
DAY ONE
Introduction
- Overview of current markets and fallout from credit crunch
- The basics of risk management – What is it? What isn't it?
- Identification, measurement and management of risk
- Market risk
- Credit risk
- Operational risk
- Other risks
- Valuation, mark to market and accruals
- What do we mean by manage?
- What is risk management trying to achieve?
Market Risk in Banking
- Importance of basic control processes
- Mark to market, mark to model other valuation
- Profit and Loss monitoring
- Limits
- Assets and liability (inventory) control
- Organisational culture and structure
- The tone set by senior management
- Staffing and experience
- The importance of systems
- Banks verses other corporate entities – Why are they different?
Risk Management Tools for Market Risk
- Defining a returns process for a price series
- Modelling the returns process
- Asset/liability size and equivalents
- Sensitivities of positions to market moves – the concepts of delta and DV01
- Arbitrage principles for pricing and sensitivities – forward pricing andprobability
Portfolio Market Risk Tools
- Aggregation of positions – From many to few
- Portfolio effects from correlation and diversification
- Composite risk measures
- Value at Risk and other portfolio risk models
Value at Risk and its Short Comings
- Variance-Covariance
- Historic simulation
- Monte-Carlo
- Limitations of approaches
- Handling specific risk
- Problems with illiquid assets
- Changes in volatility and covariance assumptions
DAY TWO
Adjuncts to the Value-at-Risk Tools
- Using scenarios to identify "problem" positions
- Stress testing – What is it and how does it help?
New Products and New Challenges
- How do we incorporate new products?
- Breaking down the components of risk
- Use of models
- Incorporating into existing system and not-in-system trades forreporting
What can Derivatives tell us about Market Risk?
- Implied volatility, skews and smiles - What do they mean?
- Fat tails and market instabilities
- What do real returns look like?
- How should we adjust measures?
Incorporating Derivatives into Market Risk Portfolios
- How non-linear instruments distort returns distributions
- The effect on confidence intervals for VaR estimation
- How Greeks sensitivities are a necessary addition to normal risk measures such as VaR
- Integrating OTC Derivatives into combined market and credit risk framework using Monte Carlo
- Simulation
Market Risk for Fund Managers
- Why is Fund Management different?
- The role of benchmarks and mandates
- Alpha, Beta, Information and Sharpe Ratios – What do they tell us?
- Benchmark relative risk
- Non linear beta effects
The Role of Back Testing for VaR
- Explaining the sources and sinks of profit and loss from risk measures
- Back testing process – Clean, dirty and hypothetical P&L
- Exceptions – How many is too many or too few?
- Model hypothesis testing
- Effects of autocorrelation
- The role of Extreme Value Theory (EVT) for tail correction
Market Risk Capital
- The evolution of Basel capital requirements for market risk
- The 1996 market risk amendment and introduction of internal models
- Quantitative and qualitative aspects of model recognition
- Defining Market Risk Capital and qualifying capital types – Tiers 1, 2 and 3
- Recent developments such as liquidity risk and leverage limits –
- What will Basel III bring?
