Information Package / Course Catalogue
Non-Lınear Tıme Serıes Analysıs
Course Code: EK415
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

In this course, it is aimed to teach non-linear time series methods, which are important and current part of time series analysis, and to gain the skill of interpretation and application. The importance of nonlinearity and its effects on classical time series methods will be emphasized. It is aimed to teach the economical application and interpretation of nonlinear time series methods with applications to be made using econometric software.

Course Content

It is aimed to estimate MTAR, SETAR and STAR model structures from nonlinear models, unit root tests, cointegration tests and error correction models created using these model structures.

Name of Lecturer(s)
Learning Outcomes
1.To know the classification of nonlinear time series methods
2.Understanding the source of nonlinearity and its advantages
3.It is aimed to know the application of different model structures in test processes.
4.Selection of the appropriate model for better forecasting
5.Identifying different model structures
Recommended or Required Reading
1.Prof. Dr. Burak Güriş, "R uygulamalı Doğrusal Olmayan Zaman Serileri Analizi", DER yayınları İstanbul, 2020.
Weekly Detailed Course Contents
Week 1 - Theoretical
Nonlinearity Term
Week 2 - Theoretical
Source of Nonlinearity, Nonlinearity in Variance, Conditional Variance Models with Symmetric effect
Week 3 - Theoretical
Conditional Variance Models with Asymmetric effect and applications
Week 4 - Theoretical
Conditional Variance Models with Asymmetric effect and applications
Week 5 - Theoretical
Conditional Variance Models with Symmetric effect and aymmetric effect R applications
Week 6 - Theoretical
Nonlinear Models in mean
Week 7 - Practice
Nonlinearity tests and applications
Week 8 - Practice
Nonlinearity tests and applications
Week 9 - Theoretical
Nonlinear unit root tests
Week 10 - Theoretical
Nonlinear unit root tests
Week 11 - Theoretical
Nonlinear unit root tests economic applications
Week 12 - Theoretical
Nonlinear unit root tests economic applications
Week 13 - Theoretical
Nonlinear cointegration and error correction models
Week 14 - Theoretical
Nonlinear cointegration and error correction models
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory144398
Midterm Examination110111
Final Examination114216
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
3
3
3
3
5
5
5
5
5
OÇ-2
3
5
3
3
5
5
2
5
4
OÇ-3
2
3
3
5
5
5
4
4
4
OÇ-4
3
4
3
3
3
3
4
4
3
OÇ-5
4
4
4
4
4
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026