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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:

  • Demonstrate an understanding of the characteristics, returns and risk factors of the different types of investment
  • Apply the methods used for the valuation of investments
  • Develop an understanding of the major economic, financial and practical theories relevant to investment
  • Understand the impact of the liabilities on investment objectives and constraints
  • Describe the characteristics and limitations of the major stochastic investment models
  • Derive relevant assumptions for each of these models
  • Demonstrate the ability to build a relevant stochastic model
  • Formulate an appropriate investment strategy for a given liability portfolio
  • Discuss the practical implementation of investment strategy
Indicative Assessment
  • Examination: 65%
  • Assignment 1: 12%
  • Assignment 2: 23%
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

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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.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions