Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / BF 424 - BANKING AND FINANCE

Code: BF 424 Course Title: APPLIED FINANCIAL ECONOMETRICS II Theoretical+Practice: 3+0 ECTS: 4
Year/Semester of Study 4 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department BANKING AND FINANCE
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer EBRUCAN İSLAMOĞLU (ebrucanislamoglu@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is teaching how to apply econometrics in financial areas.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can evaluate, interpret and apply economic and financial issues in conjunction with the expansion and deepening of information by econometric analysis information. PO-13 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
Examination
LO-2 can internalize the knowledge and problem-solving skills, ability to apply interdisciplinary studies PO-13 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
PO-19 Uses contemporary methods and technologies of business administration, especially information technologies and analytical thinking.
Examination
LO-3 Can use the theoretical knowledge in finance and economics combine the ability to apply scientific methods and knowledge of econometric methods to analyze and interpret PO-13 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
After teaching basic econometric concepts, volatility modelling, non-linear modelling and simulation techniques will be explained.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic Concepts Lecturing and problem solving
2 Correlation - regression - Causality Concepts Lecturing and problem solving
3 Simple regression analysis - 1 Lecturing and problem solving
4 Simple regression analysis - 2 Lecturing and problem solving
5 Hypothesis Testing -1 Lecturing and problem solving
6 Hypothesis Testing -2 Lecturing and problem solving
7 Multivariate Regression Analysis - 1 Lecturing and problem solving
8 mid-term exam
9 Multivariate Regression Analysis - 2 Lecturing and problem solving
10 Multivariate Regression Analysis - 3 Lecturing and problem solving
11 Multivariate Regression Analysis - 4 Lecturing and problem solving
12 Modeling of volatile trading Lecturing and problem solving
13 Nonlinear Models - 1 Lecturing and problem solving
14 Nonlinear Models - 2 Lecturing and problem solving
15 Simulation Techniques Lecturing and problem solving
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Uygulamalı Ekonometri, Aziz KUTLAR, Nobel Yayın Dağıtım, Ankara, 2005
2 Ekonometri I / E-Views Uygulamalı ve Çözümlü Sorular, H. Hatice ÖZKAN ve M. Hanifi VAN, Nobel Yayın Dağıtım, Ankara, 2013
3 E - Views Uygulamalı Temel Ekonometri (Makro Ekonomik Verilerle), Z. Dina ÇAKMUR YILDIRTAN, Türkmen Kitabevi, İstanbul, 2000
4 Finansal Ekonometri, Nilgün ÇİL YAVUZ, DER Yayınları, İstanbul,2014.
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 2 10 20
       b) Search in internet/Library 2 10 20
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 3 7 21
mid-term exam 1 1 1
Own study for final exam 3 8 24
final exam 1 1 1
0
0
Total work load; 129