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ECO-30053 - Module Specification
Keele Business School
Faculty of Humanities and Social Sciences

For academic year: 2024/25 Last Updated: 25 April 2024

ECO-30053 - Investment Management
Coordinator: Xiafei Li
Lecture Time: See Timetable...
Level: Level 6
Credits: 15
Study Hours: 150
School Office: 01782 733094

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

ECO-20007 Finance 1

Barred Combinations

None

Description for 2024/25


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: 1,2
Make asset allocation decisions using a range of techniques including indexing, diversification, mean-variance analysis, the Black-Litterman model and market timing: 1,2
Appraise the performance of investment portfolios and individual securities: 1,2
Understand the theoretical weaknesses and technical advantages and disadvantages of alternative performance measurement techniques: 2
Make security selection decisions using a range of techniques including mean-variance analysis, and growth and value investing: 2
Evaluate and manage fixed income portfolios using techniques of duration, convexity, immunization and active techniques: 2

Study hours

Lectures: 20 hours
Tutorials: 4 hours
Computer test: 1.5 hours
Tutorial preparation: 24 hours
Mid-term test preparation: 12 hours
Self-study and final exam revision: 86.5 hours
Final Exam: 2 hours

School Rules

None

Description of Module Assessment

1: Class Test weighted 35%
Computer-based exam
Assessment 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.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 25 April 2024