• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Classification Specialist
  • Course subject Financial Management
  • Areas of interest Finance
  • Academic career PGRD
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2017
    Second Semester 2017
    See Future Offerings

The objective of this course is to familiarize students with the seminal and contemporary literature on selected topics in theoretical, empirical and applied finance as it relates to investment analysis. The material and structure of the course is designed to provide students with an advanced understanding of investment decision making. The course is directed at postgraduate and honour students and is designed for students wishing to pursue higher level studies or a career relating to investment analysis and decision making.  The course material builds on undergraduate studies in the area of investments.  The material is heavily orientated to research issues and their practical problems.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

By the end of this course, students are expected to:

  • Obtain an in-depth understanding of investment theories and practice;
  • Derive classical asset pricing models and perform basic empirical tests of the models;
  • Utilize asset pricing models for investment analysis, such as performance measurement, return predictability and event analysis;
  • Analyze and explain limitations of the models in relation to real world investment situations;
  • Work in teams and develop interpersonal and cognitive skills to a higher level.

Other Information

See the course outline on the College courses page. Outlines are uploaded as they become available. 

Indicative Assessment

Typical assessment may include, but is not restricted to: research assignment, in-class presentation and a final exam. 

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Students are expected to commit at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.

Requisite and Incompatibility

To enrol in this course you must have completed FINM7008 and FINM7007 and FINM7041 or be studying the Master of Actuarial Studies or Master of Actuarial Practice. Incompatible with FINM4106.

Specialisations

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
3
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3852
International fee paying students
Year Fee
2017 $5130
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2571 20 Feb 2017 27 Feb 2017 31 Mar 2017 26 May 2017 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8221 24 Jul 2017 31 Jul 2017 31 Aug 2017 27 Oct 2017 In Person N/A

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