Coursebooks 2018-2019

Quantitative risk management

FIN-417

Lecturer(s) :

Malamud Semyon

Language:

English

Remarque

Only in MA3

Summary

This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate risk factor models, non-linear dependence structures (copula models), as well as portfolio allocation and diversification.

Content

• Basics of risk management
• Standard statistical methods
• Multivariate risk factor models
• Modelling dependencies (correlation, copula)
• Dynamic EVT models
• Credit risk models
• Aggregate risk and diversification

   

Keywords

risk management, copula, diversification, credit risk

Learning Prerequisites

Recommended courses

• Calculus and Linear Algebra (undergraduate level)
• Statistics and Probability (first university course)
• Some knowledge of financial derivatives
• Previous experience with Matlab is very useful

Learning Outcomes

By the end of the course, the student must be able to:

• Use the main statistical tools used to model financial risk
• Conduct important volatility and credit risk models
• Identify and apply appropriate tools to describe and quantify the risk of a portfolio

Transversal skills

• Evaluate one's own performance in the team, receive and respond appropriately to feedback.

Teaching methods

• Lectures
• Homework

Assessment methods

• Homework 
• Mid-term Exam
• Final Exam

Resources

Bibliography

• Quantitative Risk Management - McNeil, Frey, Embrechts (primary reference)
• An Introduction to Statistical Modeling of Extreme Values - Coles
• Analysis of Financial Times Series - Tsay
• Statistical Models - Davison

Ressources en bibliothèque

• Quantitative Risk Management / McNeil
• An Introduction to Statistical Modeling of Extreme Values / Coles
• Analysis of Financial Times Series / Tsay
• Statistical Models / Davison