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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Portfolio Theory
Module Code FBA1022 (ITS: EF5159)
Faculty DCU Business School School DCU Business School
NFQ level 9 Credit Rating 7.5
Description

The objective of this module is to apply theoretical and analytical concepts to the investment management process. The course covers the theoretical and practical basis of portfolio management. It builds on the modern portfolio theory and focuses on the topics that are important for the practice of fund management. The course includes quantification of the relationship between risk and return, security valuation, asset allocation decisions, portfolio optimisation, performance measurement, portfolio analysis, implementation and computing technology that enhances fund management. The emphasis is on providing students with analytical skills that have an application value. The course aims to give students (1) a deep understanding of the investment management process, (2) be able to apply modern techniques to asset allocation and investment management, and (3) evaluate the performance of portfolio investments.

Learning Outcomes

1. LO1 analyse and critique mean-variance portfolio theory
2. LO2 demonstrate an understanding of how to model asset prices
3. LO3 estimate and differentiate between alternative portfolio investment strategies
4. LO4 evaluate the performance of investment funds (and fund managers)
5. LO5 appraise modern portfolio management techniques for asset allocation


WorkloadFull time hours per semester
TypeHoursDescription
Lecture36Formal lectures and Exercise-based classes
Directed learning61.5Readings around course content
Assignment Completion30Take home assinments
Directed learning60Exam Preparation
Total Workload: 187.5
Section Breakdown
CRN20449Part of TermSemester 2
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC1Best MarkN
Module Co-ordinatorLiam GallagherModule TeacherPawan Kumar
Section Breakdown
CRN11391Part of TermSemester 1
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC1Best MarkN
Module Co-ordinatorLiam GallagherModule TeacherPawan Kumar
Assessment Breakdown
TypeDescription% of totalAssessment Date
AssignmentKnowledge in the subject25%n/a
Formal Examinationn/a75%End-of-Semester
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.

* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Mean Variance Portfolio Theory
Risk and return; diversification; efficient frontier; minimum variance portfolio; correlation structures; constraining the efficient frontier - short sales, riskless borrowing and lending

Index Models
Single index model; market model; multi-index model

Simple techniques for portfolio selection
Applying the single index model to determine the efficient frontier

The relationship between index models and asset pricing models
Capital asset pricing model and related equilibrium models; arbitrage pricing theory; empirical evidence and implications

Evaluating Portfolio Performance
Risk-adjusted measures; Sharpe, Treynor and Jensen Values; Fama decomposition; mutual fund performance; market timing; performance persistence

Factor Models
Fama and French 3 and 5 factor models; Carhart 4 factor model; Conditional and unconditional factor models

Security Analysis
Efficient markets; valuation process; earnings estimation and evaluation of earnings forecasts

Indicative Reading List

Books:
  • Elton, Edwin J., Martin J. Gruber, Stephen J. Brown and William N. Goetzmann: 0, Modern Portfolio Theory and Investment Analysis,
  • Cuthbertson, Keith, and Dirk Nitzsche: 0, Quantitative Financial Economics,
  • Cuthbertson, Keith, and Dirk Nitzsche: 0, Investments: Spot and Derivatives Markets,


Articles:
None
Other Resources

None

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