Investment Analysis and Portfolio Theory

Program Type:

Thesis

Non Thesis

Course Code:

FE 505

Semester:

Autumn

P:

3

Lab:

0

Credits:

3

ECTS:

10

Course Language:

English

Course Objectives:

This course is designed to introduce the basic financial concepts, theories, principles and their applications necessary for making investment decisions.

Course Content:

Financial securities and markets; fixed income securities, equity and derivative securities; mean-variance portfolio theory; the portfolio selection process; single-index, multi-index models and grouping technologies; efficient frontier and optimum portfolios; equilibrium models in the capital markets; Capital Asset Pricing Model (CAPM) and Arbitrage Pricing Model (APM); security analysis and portfolio theory; performance evaluation and efficient market hypothesis.

Teaching Methods:

1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study

Assessment Methods:

A: Testing, B: Experiment, C: Homework, Q: Quiz

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Programme Learning Outcomes	Teaching Methods	Assessment Methods


To have knowledge about the theories and basic elements constituting the building blocks of investment decisions.		1,2,3	A, C
To know investment instruments, their differences, investment environment and markets.		1,2,3	A, C
To be able to evaluate the effects of business events and macroeconomic factors on investment performance.		1,2,3	A, C
To be able to integrate theory and practice in portfolio formation and performance evaluation.		1,2,3	A, C
To have information about the answers given to corporate finance questions that are still unresolved in theoretical or empirical scientific studies.		1,2,3	A, C
To be able to present, synthesize and constructively criticize scientific studies in corporate finance.		1,2,3	A, C
Gain empirical scientific research experience.		1,2,3	A, C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Investment items, markets, instruments and trading
2	Investment items, markets, instruments and trading.
3	Risk and return, risk preferences of investors, optimum portfolios, asset allocation, risk sharing
4	Risk and return, risk preferences of investors, optimum portfolios, asset allocation, risk sharing
5	Index models, CAPM, AT and other risk-return models
6	Index models, CAPM, AT and other risk-return models
7	Efficient markets and behavioral finance: technical analysis
8	Fixed income assets, maturity structure of interest rates, bond portfolios, risk management
9	Stock valuation approaches, portfolio performance, international diversification
10	Stock valuation approaches, portfolio performance, international diversification
11	Midterm Exam
12	Active Portfolio Management
13	Project Presentations
14	Project Presentations
15	Final Exam	All Content

Recommended Sources

RECOMMENDED SOURCES
Textbook			Yatırımlar ve Portföy Yönetimi (Investments and Portfolio Management), Bodie, Kane, and Marcus, 9e, McGraw-Hill/Irwin.B53:I55
Additional Resources			Course Notes Course website, lecture notes, financial markets laboratory, financial calculator, online resources, excel type software.

Material Sharing

MATERIAL SHARING
Documents			Guidelines and additional examples for Lecture Topics and Homework Assignments
Assignments			Homework assignments
Exams			Midterm Exam and Final Exam

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Projects	1	20
Midterms	1	40
Homework Assignments	6	40
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		25
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		75
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAMME
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	It uses the knowledge and skills it has internalized in the fields of Finance, Statistics and Computer Science in interdisciplinary studies and produces different application areas.				X
2	Follows national and international publications with the awareness of learning and questioning; It is expected to expand the limit of knowledge with scientific articles by reaching the level of preparing works in accordance with academic rules.		X
3	Designs and implements modeling and empirical research, solves and interprets emerging problems; This way it makes predictions.				X
4	When he is involved in his life, he is expected to blend his knowledge and differences and competencies in different fields and reflect them on his individual career.			X
5	With its competence, it follows the knowledge and developments in its field at an international level and communicates with its colleagues.				X
6	Uses computer software and information and communication technologies required by the fields at an advanced level.			X

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the exam week: 15x Total course hours/week)	16	3	48
Hours for off-the-classroom study (Pre-study, practice, review/week)	16	4	80
Homework	5+1(Proje)	60	60
Mid-term	1	10	10
Final	1	15	30
Total Work Load			248
Total Work Load / 25 (h)			9.92
ECTS Credit of the Course			10

Search form