An introduction to computer science and programming fundamentals.
Module
Portfolio management
Module information>
This module focuses on investment decision-making and improved portfolio management from an applied perspective.
The module introduces state-of-the-art methodologies which are used by professional portfolio managers. It develops skills based on modelling of asset price procedures and empirical research findings. It also takes a wider view considering a variety of issues concerning portfolio managers.
Topics covered
- Economic Analysis & Investors Expectations
- Asset Allocation
- Mean-Variance Theory: CAPM & APT
- Fixed-Income Portfolio Management
- Equity Portfolio Management
- Alternative Investments Portfolio Management
- Risk Management
- Implementing Portfolio Decisions: Trading & Transaction Costs
- Monitoring & Rebalancing
- Evaluating Portfolio Performance
Learning outcomes
If you complete the module successfully, you should be able to:
- understand and evaluate major portfolio management and risk concepts including the mean-variance optimiser and resampled efficient frontier.
- describe and assess perspectives of economic analysis in capital market expectations.
- explain the Black-Litterman approach.
- demonstrate the applications of fixed-income securities, risk management, portfolio rebalancing and portfolio evaluation.
- critically discuss the relation between economic activity and investor expectations.
- apply portfolio management concepts and techniques to their specific business problems.
- construct advanced portfolios and perform better on CFA examinations.
- utilise professional financial tool skills and case studies to support decisions.
- work both independently and in teams to create and manage financial strategies.
- present highly technical financial material to non-practitioners simply and clearly.
- synthesise and use information and materials from a variety of different sources to support an argument.
- apply research skills into negotiations and conflict management problems and the application of these in the assembling and analysis of facts and situations.
Assessment
This module is assessed by:
Coursework (50% weighting):
- There is one item of coursework for this module which contributes to the final assessment mark for this module.
- Coursework: a written essay of a maximum of 2,000 or 2,500 words (deadline – weeks 9-12) The coursework is designed to check student progress, extend and reinforce concepts covered and also test individual performance.
Examination (50% weighting):
- The final piece of assessment will be an unseen written examination of 2 hours’ duration.
Essential reading
The following is provided as part of the module materials after you register:
- Maginn, J. L., Tuttle, D. L., Pinto, J. E. and McLeavey, D. W., Managing Investment Portfolios: A Dynamic Process, Wiley & Sons, 2007
- Elton, E. J., Gruber, M. J., Brown, S. J. and Goetzmann, W. N., Modern Portfolio Theory and Investment Analysis (ninth edition), Wiley & Sons, 2014