units
ETF9300
Faculty of Business and Economics
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
| Level | Postgraduate |
| Faculty | Faculty of Business and Economics |
| Offered | Caulfield First semester 2012 (Day) Caulfield Second semester 2012 (Evening) |
| Coordinator(s) | Professor Paramsothy Silvapulle |
This unit covers statistics econometrics tools to: analyse and model the key characteristics of empirical distributions of asset returns; model and estimate the simple capital asset pricing model and its extensions; and test for various financial market hypotheses. It includes modelling, estimating and analysing time series properties of stationery and non-stationary financial data: and modelling and estimating simple and multivariate long-run relationships among financial variables; and conducting Granger causality testing. It also includes modelling and estimation of ARCH/GARCH volatilities and time-varying risk premium on financial assets; and estimation of value-at-risks and expected shortfalls of assets and portfolios. Students will be requested to work through a number of questions and projects with a broad range of financial data sets.
The learning goals associated with this unit are to:
Within semester assessment: 60%
Examination (2 hours): 40%
Professor Paramsothy Silvapulle
3 hours per week
Students must be enrolled in course codes 3814, 3815, 3816, 3818, 3822, 3850 or 4412 or must have passed AFF9641 or AFF9250