STAT8033 Control Cycle B
| Offered By | Rsch Sch of Finance, Actuarial Studies & App Stats |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Statistics |
| Offered in | Second Semester, 2012 |
| Unit Value | 6 units |
| Course Description |
This course covers investment and asset modeling for the purpose of liability portfolio management in the financial services industry, with a specific focus on life insurers, general insurers and superannuation funds. The course will cover development of investment strategies with regard to liability characteristics and within regulatory constraints. The use of long term stochastic actuarial models of assets and liabilities in the context of designing and monitoring investment strategies will be covered, including model characteristics and limitations. |
| Learning Outcomes |
Upon successful completion of the requirements for this course, students will be able to:
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| Indicative Assessment |
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| Workload |
4 contact hours per week plus personal study time |
| Course Classification(s) | AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. and SpecialistSpecialist courses are designed for students having reached 'first degree' level of assumed knowledge, which provide for the acquisition of specialist skills; or 'second degree' and higher level of knowledge; or for transition to research training programs; or knowledge associated with professional accreditation. |
| Eligibility |
At least an average of 65% (or equivalent) in the final two years of an Australian undergraduate degree with at least two years of university level statistical and mathematical study including calculus and linear algebra, as well as mathematical statistics and linear regression theory. |
| Other Information |
Please refer to Course Website |
| Academic Contact | enquiries.fas@anu.edu.au |
The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.




