Quantitative Methods (MFIN 860)

2021 Fall
Sabancı Business School
Finance(Master)(MFIN)
3
10
Bünyamin Önal bunyamin.onal@sabanciuniv.edu,
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English
Doctoral, Master
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CONTENT

This course includes the topics of probability theory, distributions, sampling, hypothesis testing, and regression methodologies. Also it aims to overview the essential econometric techniques used in applied financial analysis. Case studies from the academic finance literature are employed to demonstrate potential uses of each approach. The first course introduces basic classical linear regression model, panel data methods and qualitative dependent variables.

PROGRAMME OUTCOMES


1. Develop the ability to use critical, analytical, and reflective thinking and reasoning 4

2. Reflect on social and ethical responsibilities in his/her professional life. 2

3. Gain experience and confidence in the dissemination of project/research outputs 2

4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments. 4

5. Communicate effectively by oral, written, graphical and technological means and have competency in English. 3

6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating. 4


1. Develop, interpret and use statistical analyses in decision making. 5


1. Demonstrate knowledge of financial theory as well as practice and to be able to display critical evaluation of the knowledge. 5

2. Comprehend the international financial markets, practices, and accounting standards. 4