Unit name | Financial Risk Management |
---|---|
Unit code | MATH30014 |
Credit points | 20 |
Level of study | H/6 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Ayalvadi Ganesh |
Open unit status | Not open |
Pre-requisites |
MATH11007 Calculus 1 (or MATH10012 ODEs, Curves and Dynamics), MATH11005 Linear Algebra and Geometry, MATH10003 Analysis 1A and MATH10006 Analysis 1B (or MATH10011 Analysis), MATH11300 Probability 1 and MATH11400 Statistics 1 (or MATH10013 Probability and Statistics) |
Co-requisites |
None |
School/department | School of Mathematics |
Faculty | Faculty of Science |
Unit Aims
To explore the theory and practice of financial risk management in a variety of common settings, including the casino, sports betting, business, and financial markets.
Unit Description
The unit covers the theory of uncertainty assessment, choice under uncertainty, and risk management (see the Learning Objectives below), and illustrates with many practical examples, often involving computing in R. Familiarity with R is not required for the unit, but if you are thinking about a job in finance or data science then you should be aiming to be proficient in R or Python by the time you graduate.
Clarity and effective communication are crucial and you will also need to be comfortable writing descriptive text in well-structured sentences. You will be expected to explore more qualitative aspects of human capacity and desires, as a necessary part of understanding the practice of risk management.
At the end of this unit you should be able to:
Lectures, regular formative problem sheets and office hours
100% examination (2.5 hours)
Raw scores on the examinations will be determined according to the marking scheme written on the examination paper. The marking scheme, indicating the maximum score per question, is a guide to the relative weighting of the questions. Raw scores are moderated as described in the Undergraduate Handbook.
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