ECTS - Financial Econometrics
Financial Econometrics (FNCE518) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Financial Econometrics | FNCE518 | General Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | Turkish |
|---|---|
| Course Type | Elective Courses |
| Course Level | Social Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer. |
| Course Lecturer(s) |
|
| Course Objectives | This course introduces a comprehensive set of techniques used in financial econometrics and practical applications of these techniques. The course aims to create an econometric background that can help students to analyze a financial data set |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | The use of statistical techniques and econometric theory in the solution of financial problems, building financial models, estimation of volatility, capital asset pricing, portfolio allocation, risk adjusted returns. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Finansal Ekonometri ve İstatistiğe Giriş | Related chapters of the course book |
| 2 | Key Features of Financial Time Series | Related chapters of the course book |
| 3 | Probability Distributions and Descriptive Statistics of Financial Variables | Related chapters of the course book |
| 4 | Skotastik Süreçler ve Özellikleri | Related chapters of the course book |
| 5 | Regression Analysis and Basic Estimation Methods | Related chapters of the course book |
| 6 | Regression in Finance: Financial Asset Pricing Model (CAPM) | Related chapters of the course book |
| 7 | Simple Regression - Multivariate Regression | Related chapters of the course book |
| 8 | Midterm Exam | |
| 9 | Hypothesis Testing and Confidence Intervals | Related chapters of the course book |
| 10 | Dummy Independent Variable Models | Related chapters of the course book |
| 11 | Linear Time Series | Related chapters of the course book |
| 12 | Autoregressive (AR) Processes | Related chapters of the course book |
| 13 | Unit Root and Stability Analysis in Financial Time Series | Related chapters of the course book |
| 14 | Non-Stable Processes: Deterministic Trend and Stochastic Trend | Related chapters of the course book |
| 15 | VAR Models and Granger Causality Analysis | Related chapters of the course book |
| 16 | Fake Regression, Cointegration, Error Correction Models | Related chapters of the course book |
| 17 | Sınav Öncesi Genel Tekrar | |
| 18 | Final Exam |
Sources
| Course Book | 1. Nilgün Çil Yavuz (2018). Finansal Ekonometri |
|---|---|
| 1. Nilgün Çil Yavuz (2018). Finansal Ekonometri | |
| 2. Svetlozar Rachev ve Teo Jasic (2007). Financial Econometrics: From Basics to Advanced Modeling Techniques | |
| 2. Svetlozar Rachev ve Teo Jasic (2007). Financial Econometrics: From Basics to Advanced Modeling Techniques | |
| 3. Cheng F Lee (2014). Handbook of Financial Econometrics and Statistics | |
| 3. Cheng F Lee (2014). Handbook of Financial Econometrics and Statistics |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 1 | 25 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 35 |
| Final Exam/Final Jury | 1 | 35 |
| Toplam | 3 | 95 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | 1. To be able to combine and use the knowledge of their undergraduate program area with the knowledge of business administration. | |||||
| 2 | 2. To have knowledge about research methods and techniques and to be able to use them | |||||
| 3 | 3. To be able to produce creative and constructive solutions in cases of uncertainty and confusion in the field of business. | |||||
| 4 | 4. To be able to comprehend the basic concepts and basic functions of business administration at the level of expertise. | |||||
| 5 | 5. To be able to plan and manage activities for the professional development of employees under his/her responsibility in professional activities and projects in his/her field. | |||||
| 6 | 6. To be able to produce innovative and creative ideas and to put these ideas into practice. | |||||
| 7 | 7. To be able to carry out a study independently using the knowledge he has in the field of business administration and to take responsibility as a team member in cooperation with other professional groups working in this field. | |||||
| 8 | 8. To have the ability to reach scientific knowledge in the field of business, to monitor, evaluate and apply the current literature. | |||||
| 9 | 9. To be able to transfer information about the business area by using effective verbal, written and visual communication methods. | |||||
| 10 | 10. To be aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values. | |||||
| 11 | 11. To be able to work effectively with different disciplines or multicultural teams, to take responsibility, to make risk analysis, to keep up with change, to think critically and to use initiative in problem solving. | |||||
| 12 | 12. To have the ability to present a research problem, to develop hypotheses, to design research and to reach a conclusion by using qualitative/quantitative methods, by making the necessary literature review, and to have the ability to publish an academic publication as a result. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 1 | 15 | 15 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 15 | 15 |
| Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
| Total Workload | 126 | ||