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In this course, you’ll explore quantitative concepts and techniques essential for financial analysis and investment decision-making. We’ll cover descriptive statistics to convey key data attributes - such as central tendency, location, and dispersion - and explore the characteristics of return distributions. Additionally, we’ll examine probability theory and its role in quantifying risk to support informed investment decisions. This course will also introduce machine learning algorithms and the role of big data in an investment context. This course will use R and SAS software for data analysis.
Subject to Approval of the Head of Department
ECON213
Tom Coupe
Domestic fee $1,198.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Department of Economics and Finance .