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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
MTTTS20 Basics of Financial Data-Analysis and Risk Theory 5 ECTS
Organised by
Degree Programme in Mathematics and Statistics
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017

Learning outcomes

After the course, the student will be able to apply various techniques to analyse financial data such as asset portfolios and their returns, predict their value and risk, and make decisions based on the predictions. Detailed topics potentially include: determining the value-at-risk in individual and collective risk models; applying classical ruin theory to compute ruin probabilites in some simple cases; basic portfolio management; and making volatility forecasts.


Main concepts of risk theory, potentially including utility theory, individual risk model, collective risk models and ruin theory.

Some concepts of financial data analysis, potentially including basic investment models such as the Capital Asset Pricing Model and their statistical analysis, and dynamic models of asset returns and their volatilities.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English


Numeric 1-5.

Study materials

Kaas et al: Modern Actuarial Risk Theory Using R, Springer, 2nd ed, 2008

Lai and Xing: Statistical Methods for Financial Markets, Springer, 2008

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Natural Sciences