The University of Southampton
Courses

MATH6158 Managing Uncertainty and Risk

Module Overview

The module introduces some widely used quantitative approaches for characterizing uncertainty and risks in finance and management problems. The aim of the module is to introduce a number of widely used techniques for uncertainty and risk management and provide an understanding of how they can be used in practice.

Aims and Objectives

Module Aims

To introduce a number of widely used techniques for uncertainty and risk management and provide an understanding of how they can be used in practice.

Learning Outcomes

Syllabus

1. Structure of uncertainty and risk: probability of a risky event, intersection risk, union risk, using sampling to reduce uncertainty – Bayesian method, portfolio risk 2. Measuring risk: Value at risk and conditional value at risk, generic risk measures, coherent risk measures, application of the risk measures to simple problems in financial investment. 3. Decision analysis: utility theory, stochastic dominance models, St. Petersburg paradox, Allais paradox 4. Stochastic modelling and analysis: Markowitz portfolio optimization model, newsvendor problem, two stage stochastic programming model for network capacity expansion, two stage stochastic programming recourse models for production planning, two stage Stakelberg leader follower model, sample average approximation, robust approaches for stochastic optimization

Learning and Teaching

Teaching and learning methods

The module will be delivered through lectures

TypeHours
Teaching16
Independent Study59
Total study time75

Resources & Reading list

Anderson EJ (2014). Business Risk Management: Models and Analysis. 

Assessment

Assessment Strategy

Feedbacks on exam will be generic and posed on the Blackboard

Summative

MethodPercentage contribution
Exam  (2 hours) 100%

Referral

MethodPercentage contribution
Exam 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Co-requisites

To study this module, you will need to also study the following module(s):

CodeModule
MATH6002Deterministic OR Methods
MATH6006Statistical Methods
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