GRADUATE SCHOOL

Financial Economics (Without Thesis)

ECON 515 | Course Introduction and Application Information

Course Name
Quantitative Methods in Economics and Finance
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ECON 515
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives The aim of this course is to develop spreadsheet applications of models in economics and finance that are flexible enough to be modified in the future.
Learning Outcomes The students who succeeded in this course;
  • will be able to use statistical and financial functions in Excel.
  • will be able to develop spreadsheets of economic and financial models.
  • will be able to calculate the value of the firm based on cash flow projections.
  • will be able to perform econometric analysis of the simple regression model.
  • will be able to estimate the CAPM.
  • will be able to calculate bond duration in Excel.
  • will be able to calculate payment schedules for fixed-rate, flexible rate, constant payment and adjusted rate mortgages.
  • will be able to construct a spreadsheet to analyze portfolio return and risk.
Course Description The course develops economic and financial models using EXCEL.The most widely used financial calculations will be performed in a spreadsheet format using simulated and real world data. Econometric analysis will be undertaken using the regression tool pack in EXCEL. At the end of the course, you will have several financial models in a spreadsheet format that you can modify for future use. Topics covered include NPV, IRR, Bond pricing, duration, option pricing, BlackSholes and binomial option pricing models, value at risk, value of the firm, portfolio risk.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction
2 Basic Financial Calculations (PV, NPV, IRR)
3 Econometric Models CAPM
4 Loans, Mortgages
5 Mortgages cont’d
6 Bonds and Duration
7 Midterm
8 Value of the Firm
9 Value of the Firm cont’d
10 Modeling Portfolios
11 Modeling Portfolios cont’d
12 Modeling Portfolios and VaR
13 Option Pricing
14 Binomial Option Pricing
15 Binomial Option Pricing cont’d
16 Binomial Option Pricing cont’d

 

Course Notes/Textbooks Simon Beninga, Financial Modelling
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
16
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
25
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
3
48
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
5
13
65
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
24
24
Final Exam
1
40
40
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To improve and deepen expertise in economics and finance.

X
2

To be able to comprehend the interaction between economics, finance and related fields.

3

To be able to apply the advanced level knowledge acquired in economics and finance.

X
4

To be able to create new knowledge by combining the knowledge of finance and economics with the knowledge coming from other disciplines and be able to solve problems which requires expert knowledge by applying scientific methods.

5

To be able to use computer programs needed in the fields of economics and finance as well as information and communication technologies in advanced levels.

6

To be able to think analytically to identify problems in finance and economics and to be able to make policy recommendations in economics and finance based on scientific analysis of issues and problems.

X
7

To be able to develop new strategic approaches for unexpected, complicated situations in finance and economics and take responsibility in solving it.

X
8

To protect the social, scientific and ethical values at the data collection, interpretation and dissemination stages and to be able to institute and observe these values.

9

To be able to critically evaluate the knowledge in finance and economics, to lead learning and carry out advanced level research independently.

10

To be able to use a foreign language for both following scientific progress and for written and oral communication.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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