ECONOMICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
COP4214	Technology Based Financial Analysis with Bloomberg	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi SERKAN YEŞİLYURT
Course Lecturer(s):	Dr. Öğr. Üyesi SERKAN YEŞİLYURT
Recommended Optional Program Components:	None
Course Objectives:	The aim of this course is to enable students to become familiar with the use of the bloomberg terminal to make financial decisions and to provide a better understanding of the relationship between financial theory and its practical applications. The course will focus on Stocks, Derivatives, Forex market, Swaps, CDS, Fixed Income Securities and Commodity Markets and will teach how to make applications in these markets through Bloomberg. By learning how to use the bloomberg terminal, students will have the opportunity to develop their academic skills and practice in these markets. As part of the course, the students will undergo 2 certification processes through bloomberg and will be required to receive these certificates during the semester. The course will also focus on improving the students' statistical skills by integrating R's with the bloomberg historical data application. Each student will have access to the Bloomberg Terminal at the Financial Research and Application Center.

Learning Outcomes

The students who have succeeded in this course;
Students who complete this course:
1. To be able to understand the importance of economic indicators,
2. To be able to interpret delayed, pioneering and existing indicators,
3. Understand the indicators used to provide Bloomberg Professional use transitions,
4. To be able to understand the relations between the investment bank and the Stock Exchange in the public offering processes,
5. To understand the market players and their activities in both the selling and the buying side of the public offering,
6. To understand the different types of public offering processes (eg: first, supplement, rights, and application of a company to all),
7. To understand derivative products and their intended use,
8. To understand the types of options and transaction logic,
9. To analyze the government bonds on Bloomberg, to understand the importance of financial bonds in the financial system, what is used and why the indicator bonds and the general situation of the market to understand the signals given,
10. To be able to make currency and parity analysis, to form strategy and analysis,
11. To be able to analyze the financial statements of an organization,
12. To be able to determine the market value of companies, financial leverage and business leverage,
13. To be able to comprehend the logic of pricing of securities,
14. To search the available data through bloomberg

Course Content

Introduction to Bloomberg: Functions, Tools: Economic Fundementals
Economic Forecats: API & Economic Cycle, Central Banks and Monetary Policies Equity Markets: Issuance, Merger & Acquisitions, Fundemental Analysis, Technical Analysis, Earning and Estimates, Indicies
Equity Markets: Peer Comparison, Locating Stocks, Trading (Developing a Portfolio,Portfolio Management), Sales, Introduction to Equity Options
Derivatives: Bond Futures, Interest Rate Swaps, Credit Default Swaps, FX Derivatives,
Fixed Income: Goverment Bonds, Fixed Income Fundementals, Issuance Process and Trade
Fixed Income: Idea generation and Relative Value, Pricing and Trading, Alternative Investments
Foreign Exchange Market: Currency Quoting Conventions, Currency Instruments, Carry Trades, BAT Certification
R Programing: Introduction to R Programing
R Programing: Introduction to R Programing
Bloomberg Excel: How to use the excel add in of Bloomberg, Data download and Big data analysis, Optimization
Dta Analysis: Data analysis with R programing, Optimization
Bloomberg: BAT Certification, Optimization
Boomberg-Economic Analysis with R

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Bloomberg: Functions, Tools: Economic Fundementals
2)	Economic Forecats: API & Economic Cycle, Central Banks and Monetary Policies
3)	Equity Markets: Issuance, Merger & Acquisitions, Fundemental Analysis, Technical Analysis, Earning and Estimates, Indicies
4)	Equity Markets: Peer Comparison, Locating Stocks, Trading (Developing a Portfolio,Portfolio Management), Sales, Introduction to Equity Options
5)	Derivatives: Bond Futures, Interest Rate Swaps, Credit Default Swaps, FX Derivatives,
6)	Fixed Income: Goverment Bonds, Fixed Income Fundementals, Issuance Process and Trade
7)	Fixed Income: Idea generation and Relative Value, Pricing and Trading, Alternative Investments
8)	Foreign Exchange Market: Currency Quoting Conventions, Currency Instruments, Carry Trades, BAT Certification
9)	R Programing: Introduction to R Programing
10)	R Programing: Introduction to R Programing
11)	Bloomberg Excel: How to use the excel add in of Bloomberg, Data download and Big data analysis, Optimization
12)	Data Analysis: Data analysis with R programing, Optimization
13)	Bloomberg: BAT Certification, Optimization
14)	Boomberg-Economic Analysis with R
15)	Final Exam

Sources

Course Notes / Textbooks:	Visual Guide to Financial Markets, David Wilson, ISBN: 978-1-118-20423-8 Debt Markets and Analysis, R. Stafford Johnson, ISBN: 978-1-118-00000-7
References:	Related papers, Bloomberg Notes

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	14	% 10
Project	2	% 20
Seminar	2	% 20
Midterms	1	% 20
Final	1	% 30
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	30	2	60
Presentations / Seminar	2	7	14
Homework Assignments	14	2	28
Midterms	1	2	2
Final	1	3	3
Total Workload			149

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	As a world citizen, she is aware of global economic, political, social and ecological developments and trends.
2)	He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning.
3)	Absorbs basic economic principles and analysis methods and uses them to evaluate daily events.
4)	Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders.
5)	Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions.
6)	Comprehends new ways of doing business using digital technologies. and new market structures.
7)	Takes critical approach to economic and social problems and develops analytical solutions.
8)	Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods.
9)	In the works he/she contributes, observes individual and social welfare together and with an ethical perspective.
10)	Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines.
11)	Generates original and innovative ideas in the works she/he contributes as part of a team.