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UKB 561 - Islamic Economic Analysis

Graduate Education Institute · International Finance and Participation Banking · Master

ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator:

Course Objective

The aim of this course is to introduce students to application of advanced econometric techniques for time series analysis, such as cointegration (VAR/VECM) and Wavelets. Statistical softwares Microfit and R will be used throughout this course. By the end of this course, the students are expected to produce quality project papers using real financial data. 

Course Content

This is a practical course on econometric methods designed to enable students to carry out their own research projects. The course covers the following time series techniques: a) VAR/VECM analysis including unit root test, VAR lag order selection, cointegration tests, long run structural modeling, vector error correction model, vector decomposition, impulse response function, and persistence profile; and b) Wavelets analysis including wavelet variances, correlations, cross-correlations, and wavelet coherence.

Course Learning Outcomes

  1. Running and interpreting the time-series models
  2. Developing skills regarding to time-series analysis

Core Area Distribution

(31) Social and Behavioural Science%100

Teaching Methods

ExpressionQuestion-AnswerExercise and PracticeSelf studyProblem Solving

Assessment & Evaluation

HomeworkPerformance Assignment ( Lab / Workshop / Field Work / Seminar / Presentation / Completion Study / ThesisTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)16348
Out of Class Study Period16464
Midterm122
Quiz111
Assignment000
Practice155
Final155

Course Schedule

WeekSubjectPreparation
1Introduction to the course and to the softwareW. (Ch. 10)
2Basic regression analysis with time-series dataW. (Ch.10)
3Basic regression analysis with time-series dataW. (Ch.10)
4Further issues in using OLS with time-series dataW. (Ch.11)
5Quiz 1 and EViews Application
6Further issues in using OLS with time-series dataW. (Ch.11)
7EViews Application
8Midterm
9Serial Correlation in Time Series RegressionW. (Ch.12)
10Serial Correlation in Time Series RegressionW. (Ch.12)
11Pooling cross section across timeW. (Ch.13)
12Quiz 2 and EViews Application
13Advanced time series topicsW. (Ch.18)
14Advanced time series topicsW. (Ch.18)
15EViews Application
16Final