STAT40920 Financial & Actuarial Maths I

Academic Year 2024/2025

This module covers stochastic models of assets and liabilities used in the insurance and banking industries. These include stochastic models of stock markets, inflation, interest rate term structures, credit defaults and insurance claims. We consider models of autocorrelated returns and their relationship to the efficient markets hypothesis.

The module considers how to describe investor behaviour (including models of rational and irrational behaviour) in the face of risk. Students learn how to use risk-return plots, studying stochastic dominance, mean-variance theory and utility theory.

Students will learn the distinction between systematic and non-systematic risks, and the importance of clientele effects.

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Curricular information is subject to change

Learning Outcomes:

Students are able to discuss descriptions of investor behaviour and choices under uncertainty. They can describe and calibrate time-series econometric models of investment and insurance risk, applying these to problems of investment portfolio construction and business strategy.

Student Effort Hours: 
Student Effort Type Hours


Autonomous Student Learning




Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning. 
Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade

Not yet recorded.

Carry forward of passed components
Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Corrected homework scripts are available for collection at tutorials. Uncollected scripts at the end of semester are destroyed.