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Founded by three Carnegie Mellon University faculty members
Institute of Algorithmic Tradingand Applied Computational Finance

Specialist track, course code RM

Financial Risk Management

Financial risk management in practice: measuring, testing and governing market risk with VaR, expected shortfall, stress tests and the controls around the models themselves.

Financial risk management answers two questions: how much can we lose, and how sure are we of that number. The first is a matter of models such as Value at Risk and expected shortfall. The second is a matter of testing those models against history, against stress scenarios, and against the possibility that the model itself is wrong.

What does the risk management track cover?

Value at Risk, Expected Shortfall and Stress Testing covers historical, parametric and Monte Carlo methods, backtesting of VaR exceptions, coherent risk measures, and historical, hypothetical and reverse stress tests. Model Risk Management and Basel III Capital covers model validation, inventories and governance, and the capital rules banks compute every day. FRM Exam Preparation covers the Part I syllabus for candidates sitting the GARP examination. Counterparty credit risk and CVA are taught in the credit course of the fixed income track.

Where does this track lead?

To the Certificate in Quantitative Risk Management, which adds GARCH volatility modeling and the credit course of the fixed income track and ends in a capstone risk report on a trading book.

Practitioner courses in this track

Lab-based courses. You build, test and cost real strategies and systems on market data.

Credentials that use this track

Questions applicants ask

Is the FRM preparation course affiliated with GARP?

No. FRM is a designation of the Global Association of Risk Professionals. The Institute’s course prepares candidates for the Part I examination and is not endorsed by GARP.

Which risk measure do regulators use now?

For bank trading books, the Basel Fundamental Review of the Trading Book replaced 99% Value at Risk with 97.5% expected shortfall for internal-model capital. Value at Risk remains in wide use for limits and reporting.