Aims and Fit of Module

This module is designed to combine the theories and methodologies of risk modelling with the complex needs of effectively managing risks in practice.
This module also provides a solid theoretical foundation of risk management by introducing risk management models to measure and manage various types of risks through applications, with the emphasis on the implementation of risk models in practice.
This module prepares students to the practical challenges of risk in a professional environment.

Learning outcomes

A	Explain and apply fundamental theories, principles and models in modern financial risk management.
B	Analyse volatility, dependence and extreme-value behaviour, and evaluate their significance in the measurement and management of financial risk.
C	Apply a range of quantitative risk measures and modelling approaches to assess different forms of financial risk exposure.
D	Identify, distinguish and critically interpret major sources of market- and business-relevant risk, including market, portfolio, counterparty credit, liquidity and operational risk.
E	Use programming, software and AI-supported methods for risk analysis, critically evaluating, verifying, adapting and appropriately declaring AI-assisted outputs.

Method of teaching and learning

This module will be delivered by a combination of formal lectures, tutorials and computer labs.