This course is taught in an interdisciplinary research format in the fields of finance and statistics/computing. The course offers opportunities for in-depth discussion of specific quantitative and statistical methods, depending on the research interests of the students, and allows a detailed discussion of the economic relevance of the students’ research questions. The actual content and course structure will be customized to the specific requirements of the students, which we will discuss in the opening session.

The main emphasis of this course is to provide methodological advice and economic guidance to doctoral/PhD students. The seminar also offers students opportunities to meet and discuss their research work with each other and the course instructors. Breakout groups and occasional individual coaching sessions will cover the more specific requirements of students.

Specific attendance requirements apply.

The course uses a mix of interactive faculty lectures, class discussions, and student presentations. The instructors will provide students with additional advice, group coaching sessions, and feedback. Active participation is an important element of the course.

Students will be assessed based on their in-class contributions (20%), presentation/motivation of their research question (40%), and presentation of their research design (40%).