FINC 3021 Financial Modelling and FinTech
Credit Points 10
Coordinator Maria Estela Varua Opens in new window
Description This subject introduces students to the application of econometric techniques in finance, with a special focus on the transformative role of FinTech in financial data analysis, modelling, and innovation. Students will gain skills in statistical programming (using Excel and Stata), understand core financial econometrics models, and explore how FinTech applications are built upon and disrupt traditional finance.
School Business
Discipline Banking and Finance
Student Contribution Band
Check your fees via the Fees page.
Level Undergraduate Level 3 subject
Pre-requisite(s) ECON 1016
Learning Outcomes
After successful completion of this subject, students will be able to:
- Apply econometric techniques to model and interpret financial data.
- Use software tools for financial econometric analysis.
- Apply FinTech to collect and interpret financial data.
- Work together using teamwork skills to coproduce a report utilising data collection and regression analysis
Subject Content
- Introduction to financial econometrics and fintech
- Financial data and returns
- Basics and applications of linear regression in finance
- Introduction and application of time series models
- Volatility modelling: ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalised Autoregressive Conditional Heteroskedasticity)
- High Frequency Data
- Applications to FinTech
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.
| Type | Length | Percent | Threshold | Individual/Group Task | Mandatory |
|---|---|---|---|---|---|
| Quiz | 10 minutes (40 minutes total) | 40 | N | Individual | N |
| Report | 1,500 words | 30 | N | Group | N |
| Professional Task | 1,200 words | 30 | N | Individual | N |
Prescribed Texts
- Introductory Econometrics: Asia-Pacific Edition, 2nd Edition. Jeffrey M. Wooldridge, Mokhtarul Wadud, Jenny Lye, Roselyne Joyeux. Cengage, 2021.
Teaching Periods
Vietnam Session 2 (2026)
Vietnam
On-site
Subject Contact Maria Estela Varua Opens in new window
View timetable Opens in new window
Spring (2026)
Parramatta City - Macquarie St
On-site
Subject Contact Maria Estela Varua Opens in new window