The objective of this module is to introduce students to empirical research and methods in corporate finance. During the module, students will develop an understanding of how to use STATA and EViews software for data science. The empirical methods that will be addressed in the module include event studies, instrumental variables, panel data, and difference‐in‐differences estimations, among others. All empirical methods will be applied to the topics in corporate finance such as corporate investment decisions, capital structure, internal and external financing, internal corporate governance, the market for corporate control, and initial public offerings. During the module, students will learn how to work with worldwide company and financial data by using open data and software solutions. The information and skills acquired in this course will enable students to develop novel research questions and outline future research directions.
This module will provide a review of topics and empirical methods essential for the students wishing to do a Master dissertation in Corporate Finance. However, the methods taught in the course can be applied to other areas.
The objective is that the student after the module possesses the necessary knowledge on:
The objective is that the student after the module possesses the necessary skills in:
The objective is that the student after the module possesses the necessary competences in:
For information see § 17.
|Name of exam
|Empirical Methods for Corporate Finance
|Type of exam
Oral exam based on a projectGroup examination with max. 3 students. The student may also choose to write the project alone
|Type of grading
|Criteria of assessment
|The criteria of assessment are stated in the Examination Policies and Procedures
|Empiriske metoder til selskabsfinansiering
|Language of instruction
|Location of the lecture
|Responsible for the module
|Study Board of Economics and Business Administration
|Aalborg University Business School
|Faculty of Social Sciences and Humanities