This course considers the application of advanced methods in Risk Management, focusing on
various important applications such as the Fundamental Review of the Trading Book (FRTB),
Valuation Adjustments (xVAs), model risk and regulatory calculations. Advanced methods such as
Neutral Networks, Algorithmic Differentiation and Parallel Computing are covered with practical
implementation case studies provided.
The concepts are built up sequentially and spreadsheet examples are used to develop the key ideas.
Specific examples include the calculation of sensitivities for xVAs, scenario analysis and stress testing,
the calculation of expected shortfall under the FRTB-IMA, the modelling of wrong-way risk (WWR) and
tackling big data problems.