Course content
The course Cases in Corporate Finance focuses on solving real-life complex Corporate Finance problems.
Real-life cases are analyzed to identify the relevant information for managerial decision making. Based on the relevant information, students apply theories, models, tools, and empirical evidence from Corporate Finance to develop suggestions and potential solutions for actual decision making in Corporate Finance.
The cases focus on various core areas within the field of corporate finance, e.g. cash flow estimation, cost of capital, capital budgeting, payout policy, capital structure, valuation, M&A.
When the course starts, students are divided into nine groups, and each group will be allocated one case from the syllabus which it is responsible for presenting in class.
The teacher uploads a number of questions for each case in the syllabus which the in-class discussions need to answer.
Students are encouraged and expected to work in groups while trying to provide solutions for the case questions.
The teaching will be organized in ten sessions of three hours each adding up to 30 class hours.
In the first session the teacher is resonsible for presenting one case and acting as a facilitator to create class discussions that aims at providing the relevant information, theory, models, tools, and empirical evidence to develop suggestions and potential solutions to the questions for the cases, the teacher has uploaded on Canvas.
In the following nine sessions, the nine groups will perform a similar job, i.e. present a case and facilitate class discussions to provide the relevant information, theory, models, tools, and empirical evidence to develop suggestions and potential solutions to the questions for the cases, the teacher has uploaded on Canvas.
The students in the non-presenting groups are expected to be willing and able to participate as active students in the in-class discussions.
Cases in Corporate Finance relates to the Nordic Nine in several perspectives, e.g. N1 (deep business knowledge), N2 (analytical with data and curious about ambiguity), N5 (ethical dilemmas), N7 (produce prosperity), and N8 (relearning and teaching others to do the same).
See course description in course catalogue