ECON 402 Financial EconomicsMEF UniversityDegree Programs EconomicsGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Economics
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Econ., Admin. and Social Sciences
Course Code ECON 402
Course Title in English Financial Economics
Course Title in Turkish Finansal Ekonomi
Language of Instruction EN
Type of Course Lecture
Level of Course Advanced
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other:
Estimated Student Workload 130 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites ECON 204 - Macroeconomic Theory II
Expected Prior Knowledge Prior knowledge of macroeconomics
Co-requisites None
Registration Restrictions Only undergraduate students
Overall Educational Objective To learn the global financial mechanisms
Course Description This course provides a coverage of the principles and practical applications of financial economic theory. It is aimed to present the basic financial ideas through a strong grounding in Financial Economic theory. The theoretical framework analyzes the decisions by individuals and firm managers and also the interplay of these decisions on the prices of financial assets. These foundations are elaborated in various fields of finance - financial management, investment management, risk management, and asset and derivative pricing.
Course Description in Turkish Bu ders, finansal ekonomi teorisinin ilkelerini ve pratik uygulamalarını kapsamaktadır. Finansal iktisat teorisinde güçlü bir temel oluşturarak temel finansal fikirlerin sunulması amaçlanmaktadır. Bu teorik çerçevede, bireylerin ve firma yöneticilerinin kararlarını analiz edilir ve bu kararların finansal varlıkların fiyatları üzerindeki etkileşimi de analiz edilir Bu kapsam bünyesinde, finansal yönetim, yatırım yönetimi, risk yönetimi, varlık ve türev fiyatlandırmanın çeşitli alanları incelenmektedir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Analyze financial and investment decision using financial theoretical models;
2) Make valuation of assets using asset pricing models;
3) Apply risk management tools including VaR to derive risk management strategies;
4) Use software (Excel/VBA) to solve complex financial models
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
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. H
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. H
3) Displays a sound comprehension of microeconomic and macroeconomic theory. S
4) Applies economic concepts to solve complex problems and enhance decision-making capability. H
5) Uses quantitative techniques to analyze different economic systems. H
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. H
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. H
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. S
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. H
10) Exhibits individual and professional ethical behavior and social responsibility. S
11) Displays learning skills necessary for further study with a high degree of autonomy S
Prepared by and Date DİLA ASFUROĞLU , December 2023
Course Coordinator DİLA ASFUROĞLU
Semester Spring
Name of Instructor Asst. Prof. Dr. DİLA ASFUROĞLU

Course Contents

Week Subject
1) Financial Decisions
2) Financial Market Environment
3) Time Value of Money
4) Time Value of Money
5) Excel Exercises
6) Interest Rates and Bond Valuation
7) Interest Rates and Bond Valuation
8) Behavior of Interest Rates
9) Midterm Exam
10) Stock Valuation
11) Stock Valuation
12) Risk and Return
13) Risk and Return
14) Review
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsPrinciples of Managerial Finance, Zutter Smart The Economics of Money, Banking and Financial Markets, Frederic Mishkin
Teaching MethodsFlipped classroom
Homework and Projects
Laboratory WorkLaboratory Excel
Computer UseLaboratory Excel VBA
Other Activities
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 5 % 20
Midterm(s) 1 % 35
Final Examination 1 % 45
TOTAL % 100
Course Administration kilice@mef.edu.tr

Dila Asfuroğlu – asfuroglud@mef.edu.tr More detailed information about the course, like office hours, can be found in the blackboard. Attendance is required. Academic Dishonesty and Plagiarism: YOK 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 3 2 1 84
Homework Assignments 2 8 1 18
Midterm(s) 1 10 2 12
Final Examination 1 14 2 16
Total Workload 130
Total Workload/25 5.2
ECTS 5