FINC 7006 Financial Modelling
Credit Points 10
Legacy Code 51054
Coordinator Rachel Reyes Opens in new window
Description This unit is essential in preparing students for applied financial analysis and modelling applications used extensively in a number of postgraduate finance units. It familiarises students with the strengths and limitations of contemporary quantitative modelling techniques using multivariate statistical procedures and optimisation approaches. Students are also familiarised with relevant software.
School Business
Discipline Banking, Finance And Related Fields
Student Contribution Band HECS Band 4 10cp
Level Postgraduate Coursework Level 7 subject
Restrictions
Students must be enrolled in a postgraduate Business program.
Learning Outcomes
On successful completion of this subject, students should be able to:
- Undertake tests of economic and financial hypotheses using empirical data and summarise their results in a sensible reporting format;
- Apply quantitative analysis techniques;
- Implement the basic elements of financial modelling and forecasting;
- Use computer software to analyse financial problems;
- Demonstrate ability to construct financial models.
Subject Content
Introduction to Financial Modelling and Financial Data
Correlation Analysis
Introduction to Simple Regression
Multiple Regressions
Regression with Dummy Variables
Regression with Lagged Explanatory Variables
Univariate Time Series Analysis
Regression with Time Series Variables
Financial Volatility
Revision and writing an Empirical Project
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
Item | Length | Percent | Threshold | Individual/Group Task |
---|---|---|---|---|
Intra-session Exam | 90 minutes | 30 | N | Individual |
Report | 4,500 words | 20 | N | Group |
Final Exam | 2 hours | 50 | N | Individual |
Prescribed Texts
- Koop, Gary. 2006, Analysis of Financial Data, John Wiley and Sons Ltd, West Sussex, England.
Teaching Periods
Quarter 1
Parramatta City - Macquarie St
Evening
Subject Contact Maria Estela Varua Opens in new window