Statistical Methods in Finance

Basic course in statistics; elementary knowledge of matrix algebra. Additionally, the knowledge of EXCEL is useful.

During the lectures students will gain essential technical knowledge in financial statistics. They will also learn how to employ different statistical tools within their academic and professional career.

By the end of this course students should be able to:
• Acquire sufficient skills to analyze the dependency among financial variables.
• Develop critical and analytical thinking.
• Solve problems using statistical models.
• Conduct statistical analyses of financial data.

The course also helps the students in developing students’ generic skills such as communication, team work and data analytics skills.

Following books are recommended:

1. Introduction to Statistical Methods for Financial Models; Thomas A. Severini (Text book)

2. Business statistics, Douglas Downing and Jeffrey Clark; 4th edition

• The purpose of the lectures is to introduce widely used statistical methods in the fields of Finance and Economics.
• Students are strongly recommended to develop their skills through team works.
• Students should try to solve the problems during the lectures.
• Students are also advised to get prepared for the lectures so that they understand the topics properly. This preparation will help them participate actively during the lectures.
• There will be a closed book exam after the course ends.

RIGHT TO PARTICIPATE

Students from Accounting and Finance can attend. However, if places are available (Max. 80), students from Economics and Business Law and Exchange students can also join.