This course covers multiple topics in the area of corporate finance (such as capital structure and debt maturity, corporate governance, financing over the life cycle etc.) using a data-driven approach.
The goal of this course is to deal with advanced topics in the area of corporate finance with a data-driven focus. The course will help prepare students for their supervised projects and master theses in the area of corporate finance. The course is organized based on scientific articles in the field of corporate finance. It emphasizes the issues of research design, causality, and identification applied to corporate finance. The course focuses on a pre-selected topics (investment in (in)tangibles, financing decisions, agency problems, competition, startup financing) and illustrates different approaches to analyzing these topics.
Capital structure and CEO managing styles based on panel-data models
Agency problems based on potential outcomes
Investment competition and financing startup financing based on difference-in-differences
Debt maturity competition and investment based on matching methods
Payout policy and entrepreneurial finance based on regression discontinuity design
Financing decisions and analysts' forecasts based on event study analysis