ECF4444 MacrofinanceBahçeşehir UniversityDegree Programs ECONOMICS AND FINANCEGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ECONOMICS AND FINANCE
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ECF4444 Macrofinance Spring 3 0 3 6

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ASLI YÜKSEL
Course Lecturer(s): Assoc. Prof. ÇAĞLAR YURTSEVEN
Recommended Optional Program Components: None
Course Objectives: This course provides a theoretical framework to analyze macro-finance market behavior. To highlight the features of each market, the entire financial system is structured into four markets: money, bond, stock, and foreign exchange. The domestic markets are linked through Fisher equation, term structure of interest rates, and CAPM. International markets are linked through various international parity conditions. Economic fundamentals provide the rationale for determination of asset prices (returns). Recent studies in behavioral models also shed some lights on the pricing process. In addition to theoretical expositions, many empirical issues and evidence will be discussed in this lecture.

Learning Outcomes

The students who have succeeded in this course;
1.understand the core concepts in finance and economics
2.demonstrate knowledge and understanding of the concept of the valuation, forecasting, prediction
3.understand the role of modelling in finance and economics
4.understand the used softvare in finance and economics, R and Python

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction & Understanding the concepts in finance and economics
2) Dynamics of the markets
3) Introduction to Financial Modelling in R
4) Data search in Bloomberg, Retrieve data to R.
5) Stock Market Valuation, Prediction in Stock Returns and role of the anamolies
6) Risk Premium and Volatility, Measuring the country risk, Financial Market Volatility, Equity Premium Puzzles, Conditional Variance Models and Risk Premium
7) Risk Premium and Volatility, Measuring the country risk, Financial Market Volatility, Equity Premium Puzzles, Conditional Variance Models and Risk Premium
8) The effects of scheduled and unscheduuled news in Financial and econometric models
9) Midterm Exam
10) Behavioral Finance
11) Behavioral Finance
12) Neuroeconomics and neurofinance
13) Neuroeconomics and neurofinance
14) High Frequency Data in Financial Markets, R

Sources

Course Notes / Textbooks: 1)Alexander. Carol. Market Models: A Guide to Financial Data Analysis. New York: John Wiley, 2003. 2.John, Hull, Options, Futures, and Other Derivatives, Pearson 3. Behavioral Finance: Understanding the Social, Cognitive, and Economic Debates, 2013 4. R Programming and Its Applications in Financial Mathematics, Shuichi Ohsaki, Jori Ruppert-Felsot, Daisuke Yoshikawa, 2017
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 10
Project 1 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Application 30 2 60
Midterms 1 20 20
Final 1 30 30
Total Workload 152

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. 4
2) Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. 4
3) Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. 4
4) Analyze the interventions of politics to the economics and vice versa. 3
5) Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. 4
6) Understand current and new economic events and how the new approaches to the economics are formed and evaluating. 5
7) Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. 4
8) Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. 5
9) Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. 5
10) Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. 4