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    A second course in business statistics with an emphasis on data analysis in finance problems.

    The main aim of the paper is to provide students with a course in financial and economic data analysis using statistical techniques based on the Microsoft Excel spreadsheet. This paper is designed to prepare students to develop skills such as critical thinking, information literacy, research and self-motivation for analysing the information by using regression and time series models. This paper focuses on solving a variety of practical problems using computer spreadsheets.

    About this paper

    Paper title Financial Data Analysis
    Subject Finance
    EFTS 0.15
    Points 18 points
    Teaching period Semester 1 (On campus)
    Domestic Tuition Fees ( NZD ) $937.50
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    BSNS 102 or BSNS 112
    Pre or Corequisite
    FINC 102
    ECON 210, STAT 210, STAT 241
    Schedule C
    Teaching staff

    Dr Tahir Suleman

    Teaching Arrangements

    This paper is taught via lectures and computer labs.


    Gary Koop, John Wiley & Sons (2006). Analysis of Financial Data. ISBN: 9780470013212.

    Course outline
    View the course outline for FINC 203
    Graduate Attributes Emphasised
    Critical thinking, Information literacy, Research and Self-motivation.
    View more information about Otago's graduate attributes
    Learning Outcomes

    Students who successfully complete the paper will be able to:

    1. Understand the properties of variables from financial markets
    2. Understand the pragmatic use of statistics in Commerce
    3. Understand and apply the concept of simple and multiple linear regression in the analysis of cross-sectional datasets collected under various contexts
    4. Understand and apply the concept of basic time series regression models
    5. Develop fundamental research skills (such as data collection, data processing, and model estimation and interpretation) in applied financial analysis
    6. Emphasise techniques used by Financial and Economic Analysts


    Semester 1

    Teaching method
    This paper is taught On Campus
    Learning management system

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Monday 09:00-10:50 10-13, 15-22
    A2 Monday 11:00-12:50 10-13, 15-22
    A3 Monday 15:00-16:50 10-13, 15-22
    A4 Thursday 15:00-16:50 10-13, 15-16, 18-22
    A5 Friday 09:00-10:50 10-12, 15-22
    A6 Friday 11:00-12:50 10-12, 15-22
    A7 Friday 13:00-14:50 10-12, 15-22


    Stream Days Times Weeks
    M1 Monday 13:00-13:50 9-13, 15-21
    Thursday 14:00-14:50 9-13, 15-16, 18-21
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