This course presents the students the nature and organization of banks and other financial intermediaries and analyses their basic functions in the modern economy.

The aim of this course is to teach students the evolution of the financial system and the role of the money in the economic transactions. It also tries to explain interest rate determination and the relationship between interest rates and term structure. Understanding the role of financial institutions in asymmetric information, transaction cost, adverse selection, moral hazard and market efficiency are also among the objectives of the course.

“…The course, will cover the philosophy and rationale for technical analysis and introduce the student to the classic and current methods of analyzing trading-market activity. Technical analysis is the study of price action in trading markets. Its purpose is to use known patterns and trends existing in the price behavior of financial securities to make profits and minimize capital losses. This course will introduce trading tactics, the use of patterns and indicators of market price change, the application of those indicators, and construction of a trading or investment model. Also, the students are taught how to design trading algorithms by their knowledge of technical analysis which is highly growing issue in today’s markets.

On successful completion of this course, the course will make it possible for participants to: - Familiarize with real financial and stock exchange markets.
- Achieve a new way of thinking on financial data.
- Recognize patterns and trends existing in the price behavior of financial securities to make profits and minimize capital losses.
- Usage of software which is essentially applied in this field of study to empower the students to consider the course as their professional skill in their future life. “

This course aims to introduce the recent econometric techniques in measuring and forecasting financial volatility at the graduate level. The students will gain an understanding of characteristics of financial data and the skills required for volatility modeling using  ARCH  models and some of its extensions including multivariate GARCH models. The students will also learn how to forecast volatility in the presence of jumps. The course not only aims to provide students the technical  background, but also emphasizes empirical implementations to fill the gap between theory and practice.