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Financial Econometrics (ECOM90011)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
Features of financial data require specific methods of analysis. Basic econometric tools are presented for the analysis of data such as stock exchange returns, exchange rates, bonds prices, etc. Applications of econometric models in finance include option pricing, extreme values and value at risk as well as financial assets portfolio selection. A special focus is put on modelling and forecasting of returns and volatility of financial assets. An up to date selection of time series econometric models and methods is presented. The computer software used is R.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Describe the properties of econometric techniques (such as unit roots, cointegration, ARCH/GARCH and Kalman filters) used in financial analysis;
- Apply econometric techniques to test hypothesis in financial economics (such as the efficient markets hypothesis, the theory of speculative efficiency, the capital asset pricing model);
- Evaluate the robustness of results obtained from using econometric techniques on real world financial data;
- Analyse results obtained from financial data and explain their implications for economic and financial theory.
Generic skills
On successful completion of this subject, students should have improved the following generic skills:
- Evaluation of ideas, views and evidence
- Synthesis of ideas, views and evidence
- Critical thinking
- Accessing economic and other information
- Summary and interpretation of information
- Using computer programs
- Statistical reasoning
- Problem solving skills
- Collaborative learning and teamwork
- Written communication
Last updated: 3 November 2022