Financial Modelling and Technologies

    Unit code: BAO7003 | Study level: Postgraduate
    (Generally, 1 credit = 10 hours of classes and independent study.)
    City Campus


    This unit of study concentrate on two main areas which is more important in modern finance. First it offers students the opportunity to acquire knowledge and skills in creating computer-based financial models. These models encompass optimization, assets valuation and allocation decisions, risk factor analysis, financial time series analysis, and forecasting and simulation of stock prices. Moreover, students will gain a practical understanding of the financial theory that underlies these models, allowing them to effectively communicate their findings to the intended audience. Additionally, this course covers the latest technological advancements in the financial services industry, such as FinTech, crowdfunding, blockchain and crypto currencies, and their impact on financial services.

    Learning Outcomes

    On successful completion of this unit, students will be able to:

    1. Critically reflect on their financial decision-making ability by econometric techniques employing simulation and optimisation with the use of financial models;
    2. Contextualise and concisely convey the impact of change on different aspects of the financial information using computer based financial applications;
    3. Critically review the impact of contemporary and emerging technologies that are impacting the work flows and processes of financial institutions and corporate finance functions; and,
    4. Exhibit communication and presentation skills using financial data.


    For Melbourne campuses

    Assessment type: Test
    Grade: 10%
    In class test (short answer theoretical question)
    Assessment type: Assignment
    Grade: 25%
    Constructing and reporting optimum investment portfolio
    Assessment type: Project
    Grade: 35%
    Group report on developing a market model (optimisation, time series analysis, assets pricing)
    Assessment type: Case Study
    Grade: 30%
    Case studies applying financial modelling

    Required reading

    Selected readings will be made available via the unit VU Collaborate site.

    The New DNA of Financial Services
    Pranay Gupta and T. Mandy Tham, Fintech (2018)| EBSCO DRM-Free eBooks
    Financial Economics and Econometrics
    Nikiforos T. Laopodis (2022);| Routledge
    Financial Modelling
    Simon Benninga and Tal Mofkadi (2022)| MIT Press Academic

    As part of a course

    This unit is studied as part of the following course(s):

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