851-0252-10L Project in Behavioural Finance
| Semester | Autumn Semester 2024 |
| Lecturers | S. Andraszewicz, C. Hölscher, A. C. Roberts |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | Particularly suitable for students of D-MTEC. |
| Abstract | In this seminar, students will study cognitive processes, behaviour and the underlying biological response to financial decisions. Research methods such as asset market experiments, lottery games, risk preference assessment, psychometrics, neuroimaging and psychophysiology of decision processes will be discussed. Financial bubbles and crashes will be the core interest. | ||||||||||||||||||||||||||||||||||||||||||
| Learning objective | This course has four main goals: 1) To learn about the most important topics within Behavioural Finance 2) To learn to effectively select, review and present information using modern telecommunication tools 3) To practice working on group projects in hybrid working conditions (online + in-person) 4) To solve an applied behavioral finance business case stemming from an industry partner | ||||||||||||||||||||||||||||||||||||||||||
| Content | The course does not contain mandatory reading. Instead, it offers suggested literature that provides guidance to the students who, prepare a presentation on core topics in behavioral finance. The point of this exercise is to critically select the most relevant information on a given topic and present to non-expert educated colleagues. At the same time, the audience learns about the key topics in behavioral finance. Every session involves a discussion moderated and supported by the lecturers. Throughout the semester, students work on solutions to real business cases stemming from a company partner. They can receive feedback and guidance from project leaders of the industry partner and from the academic supervisors. In the final meeting of the semester, students pitch solutions to their business cases. The course takes place entirely online. The objective is to prepare the students for the future work in online and hybrid arrangements. | ||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Students from all domains of ETH and all levels of education are welcome in the course. | ||||||||||||||||||||||||||||||||||||||||||
Competencies |
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