COURSE UNIT TITLE

: ADVANCES IN INVESTMENT ANALYSIS AND PORTFOLIO MANAGEMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DBA 6148 ADVANCES IN INVESTMENT ANALYSIS AND PORTFOLIO MANAGEMENT ELECTIVE 3 0 0 9

Offered By

Business Administration (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR PINAR EVRIM MANDACI

Offered to

Business Administration (English)

Course Objective

The objective of the course is to provide students with an in-depth understanding modern and port-modern portfolio theory, asset pricing models; valuation and managing bond portfolios; equity valuation models; options and futures, valuation of options; portfolio performance evaluation and the theory of active portfolio management.

Learning Outcomes of the Course Unit

1   Understand modern and post- modern portfolio theory with their applications.
2   Evaluate asset pricing models from their early stages up to now.
3   Evaluate valuation techniques for all kinds of financial assets covering, stocks, bonds, options and etc.
4   Analyze market efficiency and behavioral finance and their applications.
5   Analyze the macroeconomic and industry factors affecting the securities values.
6   Evaluate the performance of portfolio managers, performance attribution and active portfolio management.
7   Investigate the latest developments in investment and portfolio management literature.
8   Analyze academic journals in order to improve their academic reading and writing skills.
9   Improve their academic research skills by preparing research proposals.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Portfolio Theory and Practice
2 CAPM, APT and and Multifactor Models of Risk and Return
3 The Efficient Market Hypothesis and Behavioral Finance
4 Bond Pricing
5 The Term Structure of Interest Rates
6 Managing Bond Portfolios
7 Macroeconomic and Industry Analysis
8 Equity Valuation Models
9 Derivatives: Future, Option and other Derivatives Market
10 Option Valuation
11 Portfolio Performance Evaluation
12 The Theory of Active Portfolio Management

Recomended or Required Reading

1. Reading list is to be specified each semester.

Planned Learning Activities and Teaching Methods

Discussion, assignment, presentation

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 * 0.20 + STT* 0.40 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.40 + 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 explain modern and post-modern portfolio theory by pointing out their applications.
2. The students will differentiate between the asset pricing models.
3. The students will explain market efficiency and behavioral finance with the help of empirical investigations.
4. The students will evaluate macroeconomic analysis and industry analysis
5. The students will clearly measure the performance of portfolio managers. performance attribution and active portfolio management.
6. The students will prepare a proposal including the purpose; scope, significance and limitations of the study.
7. The studends wiil prepare and present memos about a specific subject for each week.
8. The students will analyze academic journals and able to read finance literature.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.
3. Students are expected to participate actively in class discussions.
4. Students are expected to attend to classes on time.
5. Students are expected to prepare ahead of time for class.
6. Students are expected to follow appropriate business etiquette regarding cell phones.

Contact Details for the Lecturer(s)

pinar.evrim@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 3 36
Preparation for final exam 1 20 20
Preparing assignments 12 10 120
Preparing presentations 1 20 20
Final 1 2 2
TOTAL WORKLOAD (hours) 234

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.15555535
LO.25555535
LO.35555535
LO.45555535
LO.55555535
LO.65555535
LO.75555535
LO.85555535
LO.95555555