COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Financial Modeling
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
FIN 552
Fall/Spring
3
0
3
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 This course covers the frameworks and tools necessary to build advancedspreadsheet models for financial decision making. It is focused predominately on providing basic to intermediate financial modelling skills using Microsoft Excel and is specifically biased to those individuals seeking to learn new skills and develop a new understanding of financial modelling.
Learning Outcomes The students who succeeded in this course;
  • will be able to use Excel and similar spreadsheet programs in financial applications.
  • will be able to do financial models with the help of basic programming skills.
  • will be able to analyze the data by financial modelling.
  • will be able to do portfolio management and estimation, capital budgeting and risk measurement.
  • will be able to use data tables, scenario manager, database operations, pivot tables and charts, and other statistical builtin functions.
Course Description The financial models covered include portfolio management and estimation, capital budgeting, risk measurement, discounted cash flow models, and pricing of options. Basic financial concepts necessary to understand these models will be reviewed. Useful spreadsheet features such as data tables, scenario manager, database operations, pivot tables and charts, and other statistical builtin functions will be reviewed.
Related Sustainable Development Goals

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Spreadsheet Essentials Financial Modeling Simon Benninga
2 Financial Statement Modelling Financial Modeling Simon Benninga
3 Using Financial Statement Models for Valuation Financial Modeling Simon Benninga
4 Portfolio Models Financial Modeling Simon Benninga
5 Portfolio Models Financial Modeling Simon Benninga
6 Portfolio Models Financial Modeling Simon Benninga
7 MIDTERM Financial Modeling Simon Benninga
8 Risk Analysis Financial Modeling Simon Benninga
9 Risk Analysis Financial Modeling Simon Benninga
10 Option Pricing Financial Modeling Simon Benninga
11 Option Pricing Financial Modeling Simon Benninga
12 Option Pricing Financial Modeling Simon Benninga
13 Introduction to Visual Basic Financial Modeling Simon Benninga
14 REVIEW
15 Review of the Semester  
16 Review of the Semester  
Course Notes/Textbooks Book indicated above
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
16
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
70
Weighting of End-of-Semester Activities on the Final Grade
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
2
32
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
3
Presentation / Jury
Project
1
16
Seminar / Workshop
Oral Exam
Midterms
1
18
Final Exams
1
21
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able to contribute to the science by improving the knowledge in the field with a level of sufficient expertise based on the qualifications of the master degree.

X
2

To be able to identify, analyze and interpret the oriented problems of the financial science and the business world.

X
3

To be able to develop a unique idea, method or application in the field of finance.

X
4

To be able to transform knowledge in the field to an academic research by mastering existing theory and research in its field.

X
5

To be able to gain effective communication skills that enables to express the original research results and opinions in the field of finance at scientific meetings and/or within the expert community.

X
6

To be able to use the results of scientific studies conducted in the field, in relevant refereed journals while publicising them or presenting them in scientific meetings while disseminating knowledge gained.

X
7

To be able to analyze and resolve national and international developments and its influences on markets with an interdisciplinary perspective.

X
8

To be able to conduct independent research.

X
9

To be able to demonstrate ethical values ​​in the stages of collection, interpretation, dissemination and application of data related to finance field.

X
10

To be able to prepare an original thesis / term project in accordance with the criteria related to the field of finance.

11
To be able to use a foreign language to follow information about the field of finance and participate in discussions in academic environments.

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