Module Code: H9PFM
Long Title Portfolio Management
Title Portfolio Management
Module Level: LEVEL 9
EQF Level: 7
EHEA Level: Second Cycle
Credits: 5
Module Coordinator: CORINA SHEERIN
Module Author: CORINA SHEERIN
Departments: School of Business
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Demonstrate a critical awareness of the theoretical underpinnings of modern portfolio management
LO2 Critically assess the role of fundamental, economic and technical analysis in the security selection process.
LO3 Apply modern portfolio theory in the selection of securities and construction of portfolios.
LO4 Demonstrate familiarity with the key principles of portfolio management and identify its use in the modern business.
LO5 Have a practical comprehension of the application of asset pricing models.
LO6 Demonstrate a comprehension of the various methodologies applied in evaluating portfolio performance.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements

There are no additional entry requirements for this module.  The programme entry requirements apply.
 

Module Content & Assessment

Indicative Content
Introducing Portfolio Models
Basic mechanics of portfolio calculations. Return distributions from historical price data. General case of N assets (matrix notation).
Calculating Efficient Portfolios
Theory and calculations necessary for the capital asset pricing model (CAPM). Major results and implementation of these results: how to calculate efficient portfolios and how to calculate the efficient frontier.
Calculating the Variance-Covariance Matrix
Sample variance-covariance matrix – computation and limits. Alternatives to the sample matrix – the so-called “shrinkage” methods
Estimating Betas and the Security Market Line
What does the CAPM actually say? What are its empirical implications? The capital market line (CML) and the security market line (SML).
Calculating Efficient Portfolios Without Short Sales
Finding efficient portfolios of assets when short sales are restricted.
Bond duration and Immunization Strategies
Bonds’ duration as a risk measure and bond portfolios’ immunization strategies
Assessment Breakdown%
Coursework40.00%
End of Module Assessment60.00%

Assessments

Full Time

Coursework
Assessment Type: Continuous Assessment % of total: 40
Assessment Date: n/a Outcome addressed: 3,4,5
Non-Marked: No
Assessment Description:
Candidates are required to complete one in-class Excel-based test, which is a mix of theoretical and problem-based questions. The in-class examination will be worth 40%
End of Module Assessment
Assessment Type: Terminal Exam % of total: 60
Assessment Date: End-of-Semester Outcome addressed: 1,2,3,4,5,6
Non-Marked: No
Assessment Description:
Final Examination, which will consist of an Excel-based exam.
No Workplace Assessment
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
Reassessment Description
Repeat assessment of this module will consist of a repeat examination which will test all the learning outcomes.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom and demonstrations 24 Per Semester 2.00
Directed Learning Directed e-learning 24 Per Semester 2.00
Independent Learning Independent learning 77 Per Semester 6.42
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • Benninga, S. Financial Modeling, 4th Ed.. MIT Press.
  • Bodie Z., Kane A., and Marcus A.J. Investments, 11th. Mc Graw Hill.
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: