ECO-30045 - Module Specification
Keele Business School
Faculty of Humanities and Social Sciences

Programme/Approved Electives for 2024/25

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

Completion of Eco-20042 Introduction to Econometrics

Barred Combinations

None

Description for 2024/25

This module is designed to familiarize students with the main techniques for modelling financial data. The module builds upon the core theory modules in finance developed at level 5 by examining statistical applications involving CAPM, APT and market efficiency. It also develops univariate and multivariate regression techniques, and models of volatility in the process. Diagnostic tests widely used in empirical models of finance are described and interpreted. The module has a distinct hands-on flavour with computer lab classes offering the opportunity for students to explore key elements of financial modelling.

To familiarise students with the econometric techniques commonly used in applied finance

Intended Learning Outcomes

Formulate data-analysis problems in a statistical framework, choose appropriate models to analyse financial data, and evaluate their key elements and properties: 2
Describe and critically evaluate alternative empirical methodologies in applied finance: 2
Utilise industry standard software to estimate empirical models in applied finance: 2
Critically apply statistical models and methods to solve practical problems in finance; evaluate statistical evidence; interpret the results of a statistical analysis critically on choices of model; and analyse results produced: 1

Study hours

20 hours lectures
4 hours tutorial
123 hours self study including preparation for lectures, tutorials and assessments
3 hours exam

School Rules

None

Description of Module Assessment