Module Code: |
H8PA |
Long Title
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Portfolio Analysis
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Title
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Portfolio Analysis
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Module Level: |
LEVEL 8 |
EQF Level: |
6 |
EHEA Level: |
First Cycle |
Module Coordinator: |
CORINA SHEERIN |
Module Author: |
CORINA SHEERIN |
Departments: |
School of Business
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Specifications of the qualifications and experience required of staff |
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Distinguish between the various asset types that make up a typica institutional and private investment portfolio, specifically, equity, bonds, cash and real estate and understand the advantages and disadvantages of each and demonstrate a broad understanding of Asset Allocation Techniques. |
LO2 |
Demonstrate a critical awareness of the theoretical underpinnings of modern portfolio theory and analysis. |
LO3 |
Compare, appraise and apply the Capital Asset Pricing model (CAPM) and Arbitrage Pricing Theory (APT) to modern financial problems. |
LO4 |
Evaluate Investment Performance using risk-adjusted performance metrics,specifically, the approaches of Sharpe, Treynor and Jensen. |
LO5 |
Demonstrate an understanding of Technical Analysis as applied to the evaluation of investment performance and as an aid to investment selection and trading. |
LO6 |
Demonstrate an understanding of the theory of Financial Market Efficiency; |
LO7 |
Evaluate the behavioural characteristics of individual and institutional investors and
demonstrate the ability to evaluate the relevance of behavioural finance. |
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).
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Entry requirements |
Programme entry requirements
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Module Content & Assessment
Indicative Content |
Indicative Content:
Lecture1: Introduction to the Asset Spectrum and the Investment Markets
Lecture2: Mathematical Foundations of Modern Portfolio Theory
Lecture 3: The Efficient Frontier
Lecture 4: The Capital Asset Pricing Model
Lecture 5: Arbitrage Pricing Theory
Lecture 6: Risk-adjusted Performance Evaluation
Lecture 7: Technical Analysis
Lecture 8: Asset Allocation
Lecture 9: Efficient Market Hypotheses
Lecture 10: Behavioural Finance
Lecture 11: Special Topics in Portfolio Management
Lecture 12: Review of module. (This serves as a revision session for the examination)
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Assessment Breakdown | % |
Coursework | 40.00% |
End of Module Assessment | 60.00% |
AssessmentsFull Time
Coursework |
Assessment Type: |
Continuous Assessment |
% of total: |
40 |
Assessment Date: |
n/a |
Outcome addressed: |
1,4,5,7 |
Non-Marked: |
No |
Assessment Description: This will take the form of group-based practical research assignment. |
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End of Module Assessment |
Assessment Type: |
Terminal Exam |
% of total: |
60 |
Assessment Date: |
End-of-Semester |
Outcome addressed: |
1,2,3,4,5,6,7 |
Non-Marked: |
No |
Assessment Description: Final Examination. |
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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.
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Reassessment Description Candidates will attempt the repeat assessment for the module, if they do not successfully pass the module. Learners are required to attempt all assessments attaching to a module. For those modules where all learning outcomes are assessable with a final examination, the student does not have to re-sit failed individual CA components.
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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 |
2 |
Every Week |
2.00 |
Lecturer Supervised Learning |
Mentoring and small-group tutoring |
1 |
Every Week |
1.00 |
Directed Learning |
Directed e-learning |
3 |
Every Week |
3.00 |
Independent Learning |
Independent learning |
8 |
Every Week |
8.00 |
Total Weekly Contact Hours |
6.00 |
Workload: Part Time |
Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
Practical |
No Description |
2 |
Every Week |
2.00 |
Lecture |
No Description |
2 |
Every Week |
2.00 |
Total Weekly Contact Hours |
4.00 |
Module Resources
Recommended Book Resources |
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Elton, Edwin. J., Gruber, E., Brown, M and W. Goetzmann. (2014), Modern Portfolio Theory and Investment Analysis, 9th. Wiley Publications.
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Pilbeam, Keith. (2018), Finance and Financial Markets, 4th ed. Chapters 7, 8 and 10, Bloomsbury Academic.
| Supplementary Book Resources |
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Reilly, F.K., and K. C. Brown. (2019), Investment Analysis and Portfolio Management, 11th. Cenage Learning.
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Bodie, Z., Kane, A., and A. Marcus. (2021), Investments, 10th. McGraw Hill.
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Nofsinger, J.R. (2017), Psychology of Investing, 6th. ed. Prentice Hall.
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Malkiel, B.G. (2019), A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing, 12th. ed. Norton and Co. Publishers.
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Solnik, B., and D. McLeavey. (2014), Global Investments(International edition), 6th. Pearson.
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Power, Thomas., Walsh, Stephen and O’Meara, Paul. (2009), Financial Management – An Irish Text, 3rd ed. Gill.
| This module does not have any article/paper resources |
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Other Resources |
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[Website], Bloomberg,
http://www.bloomberg.com.
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[Website], Reuters,
http://www.reuters.com.
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[Website], The Financial Times,
http://www.ft.com.
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[Website], The Wall Street Journal
http://www.wsj.com.
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