ETC3460 Financial econometrics
Faculty of Business and Economics
ETC3460 Financial econometrics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 1 at Clayton. It needs ETC2410, ETC3440, ETF2100, ETW2510, MTH2232, ETC2560 or ETX2100 and unlocks 2 units.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
Reviews
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Requisites
Before ETC3460
Prerequisites
Pass these before you enrol.
- ETC2410Introductory econometricsNo reviews yet
- ETC3440Introductory econometricsNo reviews yet
- ETF2100Introductory econometricsNo reviews yet
- ETW2510Statistical modelling for decision makingNo reviews yet
- MTH2232Mathematical statisticsNo reviews yet
- ETC2560Statistical modelling for actuarial studiesNo reviews yet
- ETX2100Introductory econometricsNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETC3460
2 units list ETC3460 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 Higher 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 provides an introduction to the field of financial econometrics which draws on ideas and methods from finance, economics, probability, statistics and applied mathematics, and uses them to explain the complex world of finance and financial instruments. You will learn about different aspects of asset pricing, namely specification, estimation and testing of asset pricing models, including the capital asset pricing model and extensions. You will also learn how to decipher the statistical characteristics of financial data emphasising skewness, kurtosis and volatility aspects, and how to incorporate these in volatility models such as ARCH and multi-variate extensions. Further, you will apply these techniques to financial time series in real time (e.g. stock prices) and evaluate the forecast performance of these models.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Blended |
Assessment
- Project40%
- Examination60%
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
describe the time series and distributional features of financial data
- 2
explain appropriate specification, estimation and testing of asset pricing models
- 3
evaluate the need for volatility models for financial returns
- 4
describe the specification and estimation of conditional volatility models.
Workload and teaching
- Workshops12 hours
- Seminars24 hours
- Tutorials12 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
ETC3460 is part of 11 areas of study in the 2027 handbook.
- ACTU-MAJMajor, Specified discipline unitsActuarial studiesNo reviews yet
- ACTU-MINMinor, Core unitsActuarial studiesNo reviews yet
- ACTU-USPECSpecialisation, Core unitsActuarial studiesNo reviews yet
- BALE-USPECSpecialisation, Specified discipline unitsBusiness analytics for economicsNo reviews yet
- DASC-MAJMajor, Additional unitsData scienceNo reviews yet
- ECNM-MAJMajor, Core unitsEconometricsNo reviews yet
- ECNM-MINMinor, Core unitsEconometricsNo reviews yet
- FINC-MAJMajor, Specified discipline unitsFinanceNo reviews yet
- MEFM-USPECSpecialisation, Core unitsMacroeconomics and financial marketsNo reviews yet
- MTEE-USPECSpecialisation, Specified discipline unitsMathematical economics and econometricsNo reviews yet
- MTFE-MAJMajor, Specified discipline unitsMathematical foundations of econometricsNo reviews yet
Contacts
- Chief Examiners
- Dr Hsein Kew
Common questions
What are the prerequisites for ETC3460?
You need ETC2410, ETC3440, ETF2100, ETW2510, MTH2232, ETC2560 or ETX2100 before you enrol. Enrolment rules also apply.
What can I take after ETC3460?
ETC3460 is a prerequisite or corequisite for 2 units, including ETX4460 and ETX5460.
When is ETC3460 offered?
In 2027, ETC3460 runs in Semester 1 at Clayton.
How much work is ETC3460?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC3460 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETC3460?
ETC3460 is part of Actuarial studies, Business analytics for economics, Data science, Econometrics and Finance, and 3 other areas of study.