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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
ECONOMETRICS BF526 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) The student who completes the course can analyze the data by knowing the characteristics of the financial data,
2) can create econometric models for financial markets,
3) can estimate model parameters,
4) can develop financial inferences-strategies, make predictions,
5) can make volatility predictions
6) It is expected to be able to implement in EViews software.
7)
8)
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITIONThis course covers Statistical Estimation Theory and Simple Linear Regression.
COURSE CONTENTS
WEEKTOPICS
1st Week Introduction to Econometrics
2nd Week Types of Econometric Models
3rd Week Estimation of Parameters and Tests
4th Week Features of Estimators
5th Week Estimation Methods
6th Week Hypothesis Tests
7th Week Simple Linear Regression Model
8th Week Midterm
9th Week Basic Assumptions
10th Week Estimation of Parameters
11th Week Certainty Coefficients
12th Week t-Test, F-Test and Interval Estimation
13th Week Correlation Coefficient, Estimation and Test
14th Week Relationship Between Correlation and Certainty Coefficients
RECOMENDED OR REQUIRED READINGLecture notes
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Project,Practice
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Assignment110
Total(%)50
Contribution of In-term Studies to Overall Grade(%)50
Contribution of Final Examination to Overall Grade(%)50
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam111
Preparation for Quiz224
Individual or group work1414196
Preparation for Final exam13535
Course hours14342
Preparation for Midterm exam13030
Laboratory (including preparation)
Final exam122
Homework
Total Workload310
Total Workload / 3010,33
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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K10