Subject Outline

M01 - Quantitative Applications in Finance
Purpose

This subject explores the essential quantitative skills required in today’s financial markets. It will cover key data analysis and quantitative modelling techniques applicable to all sectors of the financial services industry, including treasury, investment management, corporate finance and investment analysis. Students will read and critique articles published in key financial journals, such as the Financial Analysts Journal, Harvard Business Review, JASSA and the Journal of Portfolio Management, and validate the methodologies used and conclusions reached. On completion of this subject, students will be equipped with a tool kit of statistical and quantitative techniques that can be used to interpret and forecast financial data. This subject is strongly recommended for students undertaking subjects in treasury, investment analysis and investment management.

 

2008 Availability

Trimesters 1  

 

Study Modes

Weekly seminar series; online


Assessment Method and Weighting

  • Examination - 20%
  • Assignment 1 - 50%
  • Assignment 2 - 30%

 

Note: Assignment(s) for this subject will be submitted online. Students will be required to download the Assignment and the template from the subject room.

Important Information

Resource Requirements

  • Calculator
  • Internet access
  • Microsoft® Word (version 97 or higher and use of standard fonts only such as Arial and Times New Roman)
  • Microsoft® Excel including add-in features (eg. Data Analysis ToolPak)
Recommended Knowledge

In this subject, we will use various mathematical and statistical methods.  Students in this subject are required to have a basic knowledge of:

  • Statistical concepts and tests
  • Differential calculus
  • Matrix algebra

 

The M01 subject requires students to be able to use mathematics in finance and to apply Excel to solving problems. The subject is designed to progress students fairly quickly from basics to the advanced methods and techniques appropriate to a Master's level qualification.

 

A pre-test is available ( M01.PT1.1.pdf and M01.PT1.1.xls ) to assist you to determine whether you have the pre-requisite knowledge for this subject.

 

Learning Outcomes

On successful completion of this subject students will be able to:

  • analyse and interpret data
  • apply relevant quantitative techniques and concepts
  • develop practical, analytical problem solving techniques
  • research and critique current issues in applied finance and investment
  • recognise the limitations, pitfalls and ethical issues involved in quantitative analysis.
Equivalent/s

Nil


Content

  • Data collection and sampling probability
  • Probability
  • The normal distribution
  • Hypothesis testing
  • Applications of hypothesis testing
  • Correlation
  • Regression analysis - theory
  • Regression analysis - analysis of results and practical applications
  • Advanced applications - time series
  • Risk and factor analysis
  • Optimisation