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Investments (6378.6)

Level: Level 2 - Undergraduate Intermediate Unit
Credit Points: 3
HECS Bands:

Band 3 2013-2020 (Expires 31 Dec 2020) Band 4 2021 (Commenced After 1 Jan 2021) Band 5 2021 (Commenced Before 1 Jan 2021)

Faculty: Faculty of Business, Government & Law
Discipline: School of Information Systems & Accounting



    Unit Outlines

    To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

    • Semester 2, 2018, ON-CAMPUS, BRUCE (179590) - View
    • Semester 2, 2017, ON-CAMPUS, BRUCE (167220) - View
    • Semester 2, 2016, ON-CAMPUS, BRUCE (156882) - View
    • Semester 2, 2015, ON-CAMPUS, BRUCE (139415) - View

    If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.


    This unit gives an understanding of investment decisions in a capital market context and how modern portfolio theory is applied in practice. It covers issues such as capital market efficiency, evaluation of investments, and the use of derivatives as risk management tools.

    Learning Outcomes

    Students who successfully complete this unit will be able to:

    1. Explain and apply modern portfolio theory in a range of practical situations;

    2. Critique the implications of capital market efficiency for security selection styles such as technical and fundamental analysis;

    3. Evaluate bonds as an investment alternative and consider bond portfolio strategies;

    4. Analyse managed funds as an investment vehicle, various strategies used by managed funds, and risks & returns associated with managed funds;

    5. Evaluate risks and returns in the context of an investment portfolio; and

    6. Describe the basic characteristics of risk management tools.

    Assessment Items

    Contact Hours

    Normally thirty nine hours per semester.


    6392 Business Finance OR 9520 Principles of Finance AND 5123 Business Statistics or 8732 Problem Analysis and Statistics.

    Referenced Courses

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