COURSE UNIT TITLE

: SECURITY ANALYSIS AND PORTFOLIO MANAGEMENT

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MSF 5066 SECURITY ANALYSIS AND PORTFOLIO MANAGEMENT ELECTIVE 3 0 0 4

Offered By

Accounting and Finance (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR PINAR EVRIM MANDACI

Offered to

Accounting and Finance (English)

Course Objective

The aim of the course is to provide an in-depth discussion of fundamental principles related to investment analysis and portfolio management. Topics include portfolio theory, capital market theories, efficient Markey hypothesis, behavioral finance, fundamental and technical analysis, portfolio performance evaluation, active portfolio management and international investments.

Learning Outcomes of the Course Unit

1   Analyze and interpret financial data.
2   Appraise risk and return characteristics of investment assets using spreadsheet applications in order to select them for investment.
3   Construct an optimal two-asset portfolio, applying portfolio and capital market theories using spreadsheet applications
4   Interpret market efficiency by using financial data and techniques.
5   Evaluate behavioral finance and its applications.
6   Analyze the macroeconomic and industry factors affecting the securities values.
7   Evaluate the performance of portfolio managers and active portfolio management.
8   Analyze the international investing and performance attribution.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Learning about Return and Risk from the Historical Record
2 Risk Aversion and Capital Allocation to Risky Assets
3 Optimal Risky Portfolios
4 Index Models
5 The Capital Asset Pricing Model
6 Arbitrage Pricing Theory and Multifactor Models of Risk & Return
7 The Efficient Market Hypothesis
8 Midterm
9 Behavioral Finance
10 Technical Analysis
11 Macro Economic and Industry Analysis
12 Performance Evaluation and Active Portfolio Management
13 International Diversification
14 Review

Recomended or Required Reading

1. Bodie, Kane, Marcus, 11 Ed. Investments McGraw-Hill.

Planned Learning Activities and Teaching Methods

Lecture, article discussions, problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. The students will use information on financial instruments (stocks, bonds, futures, options, warrants and convertibles) as presented in the financial press to explain their characteristics.
2. The students measure risk and returns by using different types of data with the help of spreadsheet applications
3. The students will explain Markowitz s efficient frontier.
4. The students will differentiate between the CAPM, APT and multi-factor models.
5. The students will explain market efficiency with the help of empirical investigations.
6. The students will evaluate the behavioral critique and bubbles
7. The students will evaluate the technical analysis, macroeconomic analysis and industry analysis
8. The students will clearly measure the performance of portfolio managers.
9. The students will interpret the global and international investing and performance attribution.

Language of Instruction

English

Course Policies and Rules

1. Plagiarism of any type will result in disciplinary action.
2. Attending at least 70 percent of lectures is mandatory.
3. All assignments should be submitted on time. Otherwise will not be accepted.

Contact Details for the Lecturer(s)

pinar.evrim@deu.edu.tr, banu.durukan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 6 1 6
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 108

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.15555454
LO.25554354
LO.35543354
LO.45455454
LO.55545454
LO.65445554
LO.75554454
LO.85555554

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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