ETF3300 Quantitative methods for financial markets
Faculty of Business and Economics
ETF3300 Quantitative methods for financial markets is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 2 at Caulfield. It needs ETC2410, ETC3440, ETF2100 or ETW2510 and unlocks 2 units.
- Credit points
- 6
- Offered in 2027
- Semester 2
- Caulfield
- Assessment
- Exam 50%
- and 3 other tasks
- Workload
- 144 hours
- per semester
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Requisites
Before ETF3300
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After ETF3300
2 units list ETF3300 as a prerequisite or corequisite.
Enrolment rules
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit covers statistics and econometric tools to assess the time series properties and distributional properties of financial series. It teaches how to model and estimate the single-factor and multiple-factor capital asset pricing models; and conduct diagnostic checks and reliable statistical inferences on various risk-return relationships and financial market hypotheses. It also introduces recent literature on modelling, estimating and forecasting financial markets' volatility; and parametric and nonparametric methods to estimate the value at risk and expected shortfall. Statistical software will be used to carry out financial data analysis and applied research projects.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | On campus |
Assessment
- Quiz / Test10%
- Exercise20%
- Project20%
- ExaminationThreshold hurdle50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
analyse and interpret the time series patterns and distributional characteristics of financial data to gain insights into market trends
- 2
assess the relationship between risk and return for various financial assets to make data-driven investment decisions
- 3
apply statistical methods to test market hypotheses and evaluate asset pricing models
- 4
analyse and model the volatility of financial returns, and utilise measures such as value-at-risk (VaR) to assess and manage potential risks associated with investment portfolios
- 5
demonstrate proficiency in applying statistical software such as R to perform statistical analysis and derive meaningful insights from financial data for business applications.
Workload and teaching
- Tutorials12 hours
- Workshops12 hours
- Seminars24 hours
- Teaching approachActive learning
- Teaching approachProblem-based learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETF3300 is part of 3 areas of study in the 2027 handbook.
Contacts
- Chief Examiners
- Dr Wei Wei
Common questions
What are the prerequisites for ETF3300?
You need ETC2410, ETC3440, ETF2100 or ETW2510 before you enrol. Enrolment rules also apply.
What can I take after ETF3300?
ETF3300 is a prerequisite or corequisite for 2 units, including ETX4460 and ETX5460.
When is ETF3300 offered?
In 2027, ETF3300 runs in Semester 2 at Caulfield.
How much work is ETF3300?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF3300 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.
Which majors and minors include ETF3300?
ETF3300 is part of Business analytics and statistics; and Financial econometrics.