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FB540 – Investment & Portfolio Management

Master of Science in Financial Services

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Core Course

FB540 – Investment & Portfolio Management

Course Unit Code: FB540

Type Of Unit: Core

Level of Course Unit: Second cycle

Year of Study: First/ second year

Semester: On demand

Number of ECTS Credits: 6

Class Contact Hours: 28

Mode of Delivery

Face to Face

Prerequisites

None

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The aim of this course is to familiarize the students with the investment world and introduce basic concepts and models in investment and portfolio management.

Learning Outcomes

CILO 1 – Follow the capital markets as experts that understand the market, its constituents and its basic dynamics
CILO 2 – Recognize basic financial instruments such as bonds and stocks, and understand their classic valuation models
CILO 3 – Understand the concept of risk-return tradeoff in financial investment
in light of path breaking models such as CAPM, the single-index model and multi-factor models
CILO 4 – Get some experience in basic excel work related to the valuation and pricing of financial instruments

1. Comprehensive introduction
2. Bonds – definitions, concepts and valuation models
3. Stocks – definitions, concepts and valuation models
4. Risk diversification and the CAPM model. Efficient investment. The security market line and beta
5. The single index model vs. CAPM. Alpha, overpricing and underpricing. Expectations arbitrage
6. Multi-factor asset pricing models
7. Advanced topics: Duration and convexity.

Derivatives*

* Optional, if time permits

Course Features

Planned learning activities and teaching methods
Lectures, homework sets, in-class discussions of recent events in light of selected financial media articles

Assessment methods and criteria
10% – Attendance
10% – Portfolio management assignment
20% – Two homework sets. To be submitted in teams of 1-3 students
60% – Final homework project

Language of Instruction
English

Work Placement(s)
Not applicable

Readings

Required readings:

  • Bodie, Z., Kane, A. and Marcus, A. J. (2024). Investments (13th Edition).
    McGraw-Hill. Chapters: 1,2,4,6-9, 10-11, 14,18

Recommended readings

  • Elton, E. J., Gruber, M. J., Brown, S. J. and Goetzmann, W. N. (2014)
    Modern Portfolio Theory and Investment Analysis (9th edition).
    John Wiley & Sons.
  • Goetzmann, W. An Introduction to Investment Theory Selected paper will be posted in Moodle

Call Center

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Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is co-funded by the EU within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation. [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.