PrerequisitesAvailable only to students holding an undergraduate degree; alternatively Accredited Prior Learning (APL) can be considered for this module subject to approval bu MIHE's academic management committee.
The aim of the module is to give students a sound background of fundamental mathematical and statistical tools required to understand financial and economic concepts. The course is in two parts. Part one will address mathematical and statistical concepts such as differential and simultaneous equations, regression analysis and inference, and part two will focus on financial theory and investment analysis. Topics include modern portfolio theory, capital asset pricing model and efficient market hypothesis. The module will make use of time series and panel data using statistical software reviews. The module will also consider topics related to financial market types, operations, products and recent trends.
Assessment 1 Component 1: 50%
Submission of piece of work involving problem solving and essay (3000 words); Component 2: 25% Written closed book two hours exam to held in the first semester which covers part one of the syllabus (mathematics and statistics); and
Assessment 2: 25% Written closed book exam to be held in the second semester and covers part two of the syllabus (financial theory, investment analysis and various aspects of financial markets and institutions).