DAY 1
TECHNICAL FUNDAMENTALS AND SENSITIVITIES OF NON-OPTION INTEREST RATE INSTRUMENTS |
| Introduction to risk typology |
| Common techniques for assessing market risk |
| Risk factors and sensitivity |
| Risk indicators and potential loss |
| Linear and non-linear positions |
| Revision of Mark-to-Market valuation |
| Discount coefficients and the zero-coupon curve |
| Bond valuation and sensitivity |
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| . | Price bonds and calculate sensitivities by maturity in EXCEL™ | |
| FRAs and futures: valuation and sensitivity
Exercises in EXCEL™: |
| . | Construct a forward rate curve | |
| . | Calculate the sensitivity of a forward rate transaction | |
| IRS pricing and sensitivity
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| . | Elaborate a simplified swaps pricer in EXCEL™ | |
| . | Determine global sensitivities and sensitivities by maturity | |
Day 2
RISK FACTORS AND SENSITIVITIES OF INTEREST
RATE OPTIONS |
| Option premium components:
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| . | Graphical illustration of earnings at maturity of a call or put
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| . | Graphical illustration of an option premium
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| Risk factors and sensitivity parameters (Greeks)
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| Analysis of sensitivities in relation to underlyings,
volatility, maturity and risk-free interest rates
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| . | Simulate expected results given by delta, gamma,
vega and rho
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| The Greeks: interdependencies |
| Applications for futures options, caps, floors and swaptions |
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| . | Construct a simplified options pricer and calculate profits and losses on positions and standard interest rate option portfolios | |
| CMS: pricing fundamentals and convexity
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Day 3
VALUE AT RISK (VaR) |
| Risk measurement |
| Revision of statistics (variance/covariance, standard deviation, correlation and matrices)
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| . | Statistical calculations in EXCEL™ and use of matrix results | |
| Estimating expected loss
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| Advanced Value-at-Risk (VaR) techniques |
| VaR calculation methods
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| . | Perform simple VaR calculations based on real historical market prices | |
| Advantages and disadvantages of historical VaR
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| Parametric VaR
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| Revision of statistical laws
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| . | Calculate a complete parametric VaR in EXCEL™ | |
| Advantages and disadvantages of parametric VaR
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| Monte Carlo VaR
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| . | Analyse an EXCEL™ spreadsheet on Monte Carlo VaR | |
| Summary of position risk: RISKMETRICS™ example
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| Regulatory VaR
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| Using VaR for internal risk driving
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Day 4
PLAIN VANILLA AND EXOTIC OPTION POSITION RISKS AND STRESS SCENARIOS |
| Risk monitoring for a plain vanilla options portfolio |
| Choosing risk indicators
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| Setting limits: achieving a coherent system of limits
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| Analysis using sensitivities Risk factors unaccounted for in the VaR (smile, etc.)
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| Integrating an option's parameters into a VaR calculation
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| . | Using delta, gamma and vega VaRs | |
| Determining, calculating and analysing stress scenarios: which risk factors should be examined?
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| Risk monitoring for an exotic options portfolio |
| Exotic options (barriers, multiple underlyings, etc.)
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| . | Evaluate and analyse an exotic option book's risk | |
| Choosing risk indicators: are the indicators adaptable
to these products or do the products have to be coherent with the other product lines?
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| Specific issues: discontinuity risks, correlation risks, etc.
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| An indication: favouring stress scenarios
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| . | Simulate stress scenarios, calculations and analysis | |
Day 5
COUNTERPARTY RISK ON MARKET TRANSACTIONS AND THE BASEL II REFORM |
| Counterparty risks on market transactions and credit risk |
| Base techniques and operational aspects |
| Typology of counterparty risks (credit risk, variation risk, settlement-delivery risk, issuer risk, etc.) |
| . | Measure counterparty risks: percentile exposure
and average exposure
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| . | Calculate the risk profiles of an IRS using the Monte Carlo method | |
| Overview of objectives: framework of a customer's positions, determining a credit spread, calculating yield and economic capital, country risk
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| Introduction to credit VaR (internal portfolio models) and capital requirements |
| Introduction to the Basel II Reform
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| Analysis of the solvency ratio and the Basel parameters for credit risk
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| . | McDonough ratio calculations (Basel II capital requirements) | |
| Relation to credit VaR
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| Generalisation to all contexts
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Day 6
RISK MONITORING AND CONTROL |
| Risk drivers: operational process |
| Analysing risk monitoring methods
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| Revision of calibration procedures and monitoring for limits and stop losses (demand, instruction, extension, revision...)
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| Behaviour after exceeding operational limits |
| Determining the granularity of risk monitoring and degrees of consolidation
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| Continuous integration of new instruments within a secured context
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| Conditions necessary to monitor and control risks
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| . | Commonly related fields and validation of cash flows | |
| . | Verification procedures and data coherency | |
| VaR production and control, add-ons and stress scenarios
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| . | Standard VaR production reports: examples
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| Regulatory requirements for validation criteria and internal models
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| . | Analysis of standard auditing reports on Banking
Commission requirement observance
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| Back-testing and reporting procedures |