IB9MJ-15 Financial Analytics
Introductory description
The module provides an introduction to financial analytics by applying various (analytical, statistical and mathematical) techniques to financial market and investment portfolios. As an important aspect of financial analytics we introduce various modelling and solving approaches for decision making problems arising in finance. We look at the analytics process from data management, modelling and computational tools perspectives. We will review various widely used approaches to portfolio analytics and introduce modelling approaches for portfolio analytics system design. The theoretical and practical aspects of various approaches will be motivated through underlying financial decision making problems using the financial market data and complexities of financial decision making problems will be addressed.
Module aims
Particular module aims are:
- to identify the underlying foundation and role of business analytics in financial decision making,
- to make students aware of complexities and special issues related to financial analytics,
- to provide a basic understanding how these complexities and practical issues can be tackled, and
- to prepare students for a variety of industrial and academic roles.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
The main topics to be covered in Financial Analytics may include fixed income securities, bond and stock valuation, asset allocation, portfolio optimisation, risk management, asset and liability management, cash-flow matching, derivatives and option pricing.
Learning outcomes
By the end of the module, students should be able to:
- Demonstrate a comprehensive understanding of various analytics concepts commonly used in finance
- Demonstrate an understanding of theoretical and practical aspects of modelling and solving financial problems
- Critically evaluate the strengths and weaknesses of different approaches
- Analyse and evaluate case studies and model and solve the underlying problems effectively
Indicative reading list
Reading lists can be found in Talis
Subject specific skills
Evaluate and apply analytics to financial decision making problems
Develop and demonstrate modelling skills to formally describe and model typical financial problems
Appraise, evaluate and then use a range of modelling and solution approaches for typical financial decision making problems
Transferable skills
Demonstrate problem solving skills and implementation of computational tools
Study time
| Type | Required |
|---|---|
| Lectures | 9 sessions of 2 hours (12%) |
| Seminars | 9 sessions of 1 hour (6%) |
| Private study | 49 hours (33%) |
| Assessment | 74 hours (49%) |
| Total | 150 hours |
Private study description
To include preparation for lectures and seminars
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Problem solving and modelling project | 20% | 15 hours | Yes (extension) |
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1500 words |
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Reassessment component is the same |
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Assessment component |
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| Written Examination - Local | 80% | 59 hours | No |
Reassessment component is the same |
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Feedback on assessment
Feedback via myWBS
Pre-requisites
To take this module, you must have passed:
Courses
This module is Optional for:
- Year 1 of TIBS-N1N3 Postgraduate Taught Business Analytics