School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code FIN 434
Course Title in English Company Valuation
Course Title in Turkish Şirket Değerlemesi
Language of Instruction EN
Type of Course Ters-yüz öğrenme
Level of Course İleri
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 120 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites FIN 202 - Finance | FIN 204 - Corporate Finance
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn and understand the theory and contemporary corporate approaches to company valuation.
Course Description This course aims to provide an understanding of company valuation. Students are expected to gain a broad understanding of business, valuation, company valuation and the interconnectedness between business and company valuation. Students will learn how to identify valuation parameters and how to attempt to manage those critical valuation factors so that they can achieve successful valuation results. We explore the meaning and dimensions of valuation, valuation parameters, risk factors for achieving successful valuation results, international valuation standards and their relation with financial structure and economics of the business, learn key success factors for effective and successful valuation results.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) identify the principles of business operations in the context of company valuation
2) recognize, identify and define critical decision factors in company valuation;
3) explain the basic methodologies and techniques in company valuation;
4) comprehend the link between company valuation, business operations, financial tables and cash flows
5) interpret information and numerical data to set up an effective company valuation model
6) identify critical thinking skills in preparing effective company valuation models.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. S Derse Katılım
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. S Derse Katılım
3) Displays a sound comprehension of microeconomic and macroeconomic theory. N
4) Applies economic concepts to solve complex problems and enhance decision-making capability. N
5) Uses quantitative techniques to analyze different economic systems. N
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. N
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. N
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. S Derse Katılım
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. S Derse Katılım
10) Exhibits individual and professional ethical behavior and social responsibility. S Derse Katılım
11) Displays learning skills necessary for further study with a high degree of autonomy S Derse Katılım
Prepared by and Date MURAT DOĞU , January 2019
Course Coordinator CEYHAN MUTLU
Semester Spring
Name of Instructor Öğr. Gör. MURAT DOĞU

Course Contents

Week Subject
1) Introduction to valuation
2) Approaches to valuation
3) Understanding financial tables
4) The basics of risk, riskless rates and risk premium
5) Estimating risk parameters and costs of financing
6) Measuring earnings
7) Midterm Exam
8) From earnings to cash flows
9) Estimating growth
10) Estimating terminal value
11) Free cash flow to equity discount models
12) Firm valuation and cost of capital
13) Earnings multiples and book value multiples
14) Revenue multiples and sector specific multiples
15) Final Examination Period
16) Final Examination Period
Required/Recommended Readings1. Aswath Damodaran, Investment Valuation, (2012), Wiley, 2. Sheridan Titman, John Martin, Valuation: The Art and Science of Corporate Investment Decision, 2013, Pearson.
Teaching MethodsClass presentations and interactive conversations. Students work independently and/or in teams.
Homework and ProjectsApplicable
Laboratory WorkNot Applicable
Computer UseApplicable
Other ActivitiesNot Applicable
Assessment Methods
Assessment Tools Count Weight
Attendance 1 % 10
Homework Assignments 1 % 20
Midterm(s) 1 % 30
Final Examination 1 % 40
TOTAL % 100
Course Administration mdogu@doganholding.com.tr

In this course, active participation is key to learning and applying. Thus the grading of the class participation will be done based on the quality of active student participation and contribution to in-class activities. Students are expected to attend all sessions and be in class on time. When they can not attend due to a sickness (which should require a report from a full facility hospital) or an excuse accepted my MEF regulations, they should inform the instructors by mail. As the feedback and questions are very valuable for making the course a distinctive learning experience, students may visit the instructors during office hours or send e mails, for any course related issues. Academic dishonesty and plagiarism will be subject to the YÖK disciplinary regulation.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 1.5 91
Midterm(s) 1 16 2 18
Final Examination 1 16 2 18
Total Workload 127
Total Workload/25 5.1
ECTS 5