IBM Algorithmics Foundations to RiskWatch
Course
In London
Description
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Type
Course
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Location
London
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Start date
Different dates available
IBM Algorithmics Foundations to RiskWatch Training CourseRiskWatchâ„¢ is the core analytical engine within the Algo Market Analytics product, providing a complete set of methodologies to measure, monitor, simulate, and restructure risk. This two-day course is intended to provide participants with an overview of RiskWatch functionality, and hands-on experience with various methods of setting up and analyzing portfolios.The participant will be able to:Build financial instruments with the associated models and risk factor 'curves'Assemble portfolios of financial instrumentsBuild a portfolio hierarchyModel a spread curveUnderstand the procedures for modeling financial instruments with currency exposureBuild Scenarios and Scenario Sets in RiskWatchUse Scenario Sets as a basis for stressing portfolios to generate Mark-to-Future (MtF) portfolio valuations across time.Set up the Stress Room with required attributes, including the use of simulation functionsCalculate Value-at-Risk (VaR) in RiskWatch using the Monte Carlo and or Historical simulation methodsAggregate portfolios by various single and multiple attributesBuild risk management reports on the portfolio
Facilities
Location
Start date
Start date
Reviews
Subjects
- IT risk
- Risk
- Financial Training
- Financial
- Simulation
Course programme
This two-day course is delivered through a number of mediums, including slide presentation, product demonstrations, instructor-led exercises and self-paced hands-on practice.
Day 1:
- Introduction and course agenda
- RiskWatch within the Algo One framework
- RiskWatch Navigation
- Building financial instruments in Riskwatch
- Defining models and risk factors
- Building portfolios and portfolio hierachies
- FX Room overview
Day 2:
- Defining scenarios in RiskWatch
- Differentiation between Standard, Generated, and Iterative Scenarios
- Setting up the Stress Room for across-time and scenario set valuation of portfolios
- Calculation of Historical and or MonteCarlo simulated Value at Risk (VaR) in the Stress Room
- Calculation of Parametric VaR
- Simulation functions
- Portfolio Aggregation
- Exporting results and building MtF Cubes
Additional information
Expenses
IBM Algorithmics Foundations to RiskWatch
