Programme/Approved Electives for 2022/23
None
Available as a Free Standing Elective
Yes
In this module you will learn the techniques and theoretical underpinnings of financial investment management. You will learn how to measure and interpret the return and risk preferences of an investor. You will learn the practical techniques of asset allocation and see how this builds on the mean-variance framework studied in Finance 1. You will learn the differences between value and growth investing, and how to measure the performance of financial asset portfolios. You will learn how to manage fixed income portfolios both for longer term liability management objectives and shorter term speculative objectives.
Aims
The aim of this module is to provide students with an understanding of how financial investment portfolios are established and managed.
Intended Learning Outcomes
Understand how to profile an investment management client: 1,2Make asset allocation decisions using a range of techniques including indexing, diversification, mean-variance analysis, the Black-Litterman model and market timing: 1,2Appraise the performance of investment portfolios and individual securities: 1,2Understand the theoretical weaknesses and technical advantages and disadvantages of alternative performance measurement techniques: 2Make security selection decisions using a range of techniques including mean-variance analysis, and growth and value investing: 2Evaluate and manage fixed income portfolios using techniques of duration, convexity, immunization and active techniques: 2
Lectures: 20 hoursTutorials: 4 hoursComputer test: 1.5 hoursTutorial preparation: 24 hoursMid-term test preparation: 12 hoursSelf-study and final exam revision: 86.5 hoursFinal Exam: 2 hours
Description of Module Assessment
1: Class Test weighted 35%Computer-based examAssessment 1 is a 1.5-hour unseen computer-based exam of short answer questions and multiple-choice questions.
2: Exam weighted 65%Unseen Exam (2 hours)Assessment 2 is a 2 hour unseen final exam. This final exam includes Four compulsory short answer questions plus Two long answer questions to be answered from a set of four questions. All questions will involve both numerical problem solving and the analysis of solutions and theoretical models.