EC4426 Practical Financial Modelling
Academic year
2024 to 2025 Semester 2
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
20
SCQF level
SCQF level 10
Availability restrictions
Available to General Degree students with the permission of the Honours Adviser
Planned timetable
When confirmed, check online https://timetables.st-andrews.ac.uk/.
Module coordinator
Dr M C Iannino
Module Staff
Maria Chiara Iannino
Module description
Financial modelling using Microsoft Excel is used in many fields such as investment banking, mergers and acquisitions (M and A), equity research, risk analysis, valuations, investment management, credit analysis, financial projections and project evaluations. This module is designed to equip students with skills to implement financial models using Excel. It will also introduce the use of VBA (Visual Basic for Applications, Microsoft's programming language) in financial modelling. This is an applied module with an emphasis on the practical application of finance theory through in-depth Excel based laboratories. Material will be made relevant to the international finance industry with real world examples and problems relevant to global financial markets. The goal of this module is to provide students with extensive knowledge of the quantitative models used by financial institutions around the world.
Relationship to other modules
Pre-requisites
BEFORE TAKING THIS MODULE YOU MUST TAKE EC4430 AND TAKE EC4417
Assessment pattern
Class Test = 30%; Practical project 1 = 10%; Practical project 2 = 60%
Re-assessment
100% Coursework
Learning and teaching methods and delivery
Weekly contact
1h x 11 weeks lectures, 1h x 6 weeks labs, and 2h x 5 weeks labs
Scheduled learning hours
27
Guided independent study hours
173
Intended learning outcomes
- Put into practise the theoretical knowledge acquired in previous undergraduate finance courses through in-depth Excel based laboratories
- Collect and analyse real financial data
- Evaluate different classes of assets and portfolios
- Implement financial, valuation and simulation models in Excel
- Analyse the real problems relevant to global financial markets
- Simulate the scenarios faced by real world financial professionals