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Topics include: measures of investment risk, portfolio theory, models of asset returns, asset liability modelling, equilibrium models, the efficient markets hypothesis, stochastic models of security prices, and Brownian Motion and its application.
Intended learning outcomes
On successful completion of this subject a student should be able to:
- Discuss the advantages and disadvantages of different measures of investment risk;
- Describe and discuss the assumptions of mean-variance portfolio theory and its principal results;
- Describe and discuss the properties of single and multifactor models of asset returns;
- Describe asset pricing models, discussing the principal results and assumptions and limitations of such models;
- Discuss the various forms of the Efficient Markets Hypothesis and discuss the evidence for and against the hypothesis;
- Demonstrate a knowledge and understanding of stochastic models of the behaviour of security prices;
- Define and apply the main concepts of Brownian motion (or Wiener Processes).
High level of development:
- Written communication;
- Problem solving;
- Statistical reasoning;
- Application of theory to practice;
- Interpretation and analysis.
Last updated: 6 December 2019