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Program Type: 
Thesis
Course Code: 
FE 605
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: 

Some of the topics covered in the course are: financial assets and markets; securities analysis; portfolio theory; asset allocation in the portfolio; valuation; risk models; portfolio management and related approaches.

Teaching Methods: 
1: Lecture, 2: Question-Answer, 3: Discussion
Assessment Methods: 
A: Testing, B: Presentation C: Homework

Vertical Tabs

Course Flow

COURSE CONTENT  
Week  Topics Study Material
1 Investing items, markets, instruments and trading. Textbook 1-4. Chapters
2 Investing items, markets, instruments and trading. Textbook 1-4. Chapters
3 Risk and return, risk preferences of investors, optimum portfolios, asset allocation, risk sharing. Textbook 5-7. Chapters
4 Risk and return, risk preferences of investors, optimum portfolios, asset allocation, risk sharing. Textbook 5-7. Chapters
5 Index models, CAPM, AT and other risk-return models. Textbook 8-10,13. Chapters
6 Index models, CAPM, AT and other risk-return models. Textbook 8-10,13. Chapters
7 Efficient markets and behavioral finance: technical analysis. Textbook 11-12. Chapters
8 Fixed income assets, maturity structure of interest rates, bond portfolios, risk management. Textbook 14-16. Chapters
9 Stock valuation approaches, portfolio performance, international diversification. Textbook 22,24-25. Chapters
10 Stock valuation approaches, portfolio performance, international diversification. Textbook 22,24-25. Chapters
11 Exam
12 Active Portfolio Management Textbook 26-28. Chapters
13 Project Presentations  
14 Project Presentations  
15 Final  

Recommended Sources

RESOURCES  
Textbook Investments and Portfolio Management, Bodie, Kane, and Marcus, 9e, McGraw-Hill/Irwin.
Others Resources Course website, lecture notes, additional article set, financial markets laboratory, scientific calculator, online resources, excel type software.

Assessment

ASSESSMENT

IN-TERM STUDIES

NUMBER

PERCENTAGE

Mid-Term

1

40

Assignment

6

40

Projects

1

20

 

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
1 2 3 4 5
1 It uses the knowledge and skills it has absorbed in the fields of Economics, Finance, Statistics and Computer Science in interdisciplinary studies and produces different application areas.        X  
2 With the awareness of lifelong learning and questioning, it follows national and international publications; 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, implements, solves and interprets analytical, modeling and empirical research; This way it makes predictions.     X        
4 When she is involved in business life, she is expected to blend her knowledge in different fields with her differences and competencies and reflect them to her individual career.        
5 Being aware of the ethical values, students know the individual, social and ecological dimensions of the concept of social responsibility and can prove that they understand the active citizenship duty that falls upon them within this framework.       X    
6 Uses computer software and information and communication technologies required by related 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 6 10 60  
Projects 6 10 10  
Mid-term 1 20 10  
Final 1 30 30  
Total Work Load     248  
Total Work Load / 25 (h)     9,92  
ECTS Credit of the Course     10