COURSE INFORMATION Course Title: FINANCIAL ECONOMETRICS I

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
BAF 333	B	5	4	0	0	4	5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Uğur Ergün , on Tuesdays 09:00 to 11:00
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Fatbardha Morina
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:	E-212, Every Monday between 11:30 and 13:15, Tuesday between 10:30 and 12:15
Course Description:	BAF 333 - Financial Econometrics I: Techniques of Econometrics, estimating the basic linear model and hypothesis testing, empirical illustrations to contemporary economic issues. The objective of this course is to prepare students for basic empirical work in economics and finance. In particular, topics will include basic data analysis, regression analysis, testing, and forecasting. Students will be provided with the opportunity to use actual economic data to test economic theories.
Course Objectives:	The primary objective of this course is to teach students fundamental econometric techniques in a highly empirical but theoretically rigorous context. Course presents an applied introduction to econometric techniques with some derivations of their properties, but leaves more theoretical treatment to future courses. For all groups, the course provides practical experience in the use of econometric software EVIEWS.

COURSE OUTLINE

Week	Topics
1	Introduction, Basic Data Handling
2	The Nature of Econometrics and Economic Data
3	The Simple Regression Model
4	The Simple Regression Model
5	Multiple Regression: Estimation
6	Multiple Regression Analysis: Estimation
7	Multiple Regression Analysis: Inference
8	Midterm Exam
9	Multiple Regression Analysis: Inference
10	Multiple Regression Analysis: Further Issues
11	Multiple Regression Analysis: Further Issues
12	Multiple Regression Analysis with Qualitative Information: Binary Variables
13	Multiple Regression Analysis with Qualitative Information: Binary Variables
14	Review

Prerequisite(s):	NA
Textbook:	Introduction to Econometrics, J.M. Wooldridge, Cengage Learning Analysis of Economic Data. Gary Koop, Second Edition. John Wiley & Sons. Applied Econometrics with Eviews Applications. Ergun, Ugur and Goksu, Ali. IBU Publication
Other References:	NA
Laboratory Work:	2 hours per week
Computer Usage:	Eviews software program
Others:	No

COURSE LEARNING OUTCOMES

1	provide skills to apply the basic econometric techniques.
2	provide skills to set up econometric model.
3	Provide ability for testing specification of the model.
4	Provide ability to apply fundamental econometric principles to real life and scientific problems

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Banking and Finance (3 years) Program
1	The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand economic problems in banking and finance but also to construct a model and defend in meaningful way.	4
2	They have knowledge about the finance and banking.	5
3	They have knowledge about the money and banking.	4
4	They have knowledge about the international finance and banking.	5
5	They have ability to use mathematical and statistical methods in banking and finance.	5
6	They know how to use computer programs in both daily office usage and statistical data evaluations in banking and finance department.	5
7	They have necessary banking and finance skills that needed in private and public sector.	4
8	They are intended to be specialist in one of departmental fields that they choose from the list of general economics, finance economics, public finance, corporate finance, finance management, international finance markets and institutions, banking and central banking, international finance and banking, money and banking, international trade and banking.	4
9	They have ability to utilize fundamental economic theories and tools to solve economic problems in banking and finance.	4
10	They are aware of the fact that banking and finance is a social science and they respect the social perspectives and social values of the society’s ethics.	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	20
Lab/Practical Exams(s)	2	20
Final Exam	1	30
Other	1	10
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	2	32
Mid-terms	1	6	6
Assignments			0
Final examination	1	10	10
Other	1	13	13
Total Work Load:			125
Total Work Load/25(h):			5
ECTS Credit of the Course:			5