AØKK08202U Corporate Finance Theory (F)
MSc programme in Economics – elective course
The course is part of the MSc programme in Economics, Financial line, symbolized by ‘F’.
The PhD Programme in Economics at the Department of Economics - elective course with research module. PhD students must contact the study administration and the lecturer in order to write the research assignment.
MSc programme in mathematics-economics
The teaching in this course may be changed to be taught either fully or partly online due to COVID-19. For further information, see the course room on Absalon. The time, place and type of assessment used for the exam may also be changed due to COVID-19, and any further information will be announced under the panel “Exam”.
Corporate Finance Theory builds on the investigation into firm capital structure from the third-year course Corporate Finance and Incentives. We take for granted that course participants have already received a full introduction to the principles of corporate finance. We now go deeper into the particular details of some of these arguments. In order to do so, we go beyond the textbook and base the course on classic and new articles from academic finance journals.
Some of the central issues in Finance relate to the financing decisions of firms, in particular the relative use of debt and equity financing. Key aspects of this capital-structure decision include the tax advantages of debt, costly bankruptcy, and signaling to the market. We also consider the market for corporate control, with leveraged buyouts as well as mergers and acquisitions.
When looking at financing decisions, we will pay particular attention to how conflicts of interest between managers, shareholders, and creditors can affect firm behavior. Amongst other issues, we will consider how firms may take on excessive debt so as to pass bankruptcy costs on to certain creditors; opt for leveraged buyouts to take advantage of sponsor reputation; carry out liquidity mergers to avoid credit rationing; and use equity financing to mitigate information asymmetries with investors, or to reduce agency conflicts within the firm.
After completing the course the student is expected to be able to:
- Identify and summarize key theoretical concepts and results from academic articles (intuition).
- Identify and evaluate key modeling assumptions in an advanced, mathematically-specified theoretical framework (formal modeling).
- Account for the economic mechanism underlying given theoretical results and discuss their interpretation (intuition).
- Assess whether various modeling assumptions are realistic in particular real-life settings (application to case).
- Derive and analyze formal results within an advanced, mathematically-specified theoretical framework (formal modeling).
- Argue whether theoretical insights from various articles can shed light on given real-life cases (application to case).
- Compare and contrast theoretical concepts from different articles, and explain the key similarities and differences (intuition).
- Argue to what extent the formal theoretical results derived in various articles relate to the articles’ more informal interpretation (formal modeling).
- Identify new, relevant, real-life cases, and evaluate whether theoretical insights from various articles can shed light on these cases (application to cases).
The tools and knowledge obtained in this course are of immediate relevance for graduates seeking employment in the business and financial industries.
To read approximately nine recently-published academic articles and working papers in the field of corporate finance. After an introductory lecture, we will devote approximately one week (two lectures) to each article, supplemented by in-class discussions of related real-world issues in corporate finance.
The preliminary reading list is as follows (subject to change). Links to these papers will be posted on the Absalon course homepage.
- Admati, DeMarzo, Hellwig, and Pfleiderer (2018). “The leverage ratchet effect.” The Journal of Finance, 73(1), 145-198.
- Edmans and Mann (2019). “Financing Through Asset Sales.” Management Science, 65(7), 3043-3060.
- Malenko and Malenko (2015). "A theory of LBO activity based on repeated debt-equity conflicts." Journal of Financial Economics, 117(3), 607-627
- Banal-Estañol, Ottaviani, and Winton (2013). "The Flip Side of Financial Synergies: Coinsurance Versus Risk Contamination." Review of Financial Studies
- Almeida, Campello and Hackbarth (2011), “Liquidity Mergers,” Journal of Financial Economics, 102(3), 526–558.
- Bayar and Chemmanur (2011), “IPOs versus Acquisitions and the Valuation Premium Puzzle: A Theory of Exit Choice by Entrepreneurs and Venture Capitalists,” Journal of Financial and Quantitative Analysis 46(6), 1755–1793.
- DeMarzo, Livdan and Tchistyi (2014), “Risking Other People’s Money: Gambling, Limited Liability, and Optimal Incentives,” Stanford Business School Working Paper No.3149.
- Fahn, Merlo, and Wamser (2019), “The Commitment Role of Equity Financing,” Journal of the European Economic Association 17(4), 1232-1260
- Levit (2019), “Soft shareholder activism,” The Review of Financial Studies, 32(7), 2775-2808.
The lecturer offers office hours. The lecturer infoms the student when and where.
2 hours lectures 1 to 2 times a week from week 36 to 50 (except week 42).
The overall schema for the Master can be seen at KUnet:
MSc in Economics => "Courses and teaching" => "Planning and overview" => "Your timetable"
Timetable and venue:
To see the time and location of lectures please press the link under "Timetable"/"Se skema" at the right side of this page. E means Autumn.
You can find the similar information partly in English at
-Select Department: “2200-Økonomisk Institut” (and wait for respond)
-Select Module:: “2200-E20; [Name of course]”
-Select Report Type: “List – Weekdays”
-Select Period: “Efterår/Autumn – Weeks 31-5”
Press: “ View Timetable”
The lecturer will provide oral and written collective feedback, at various moments after students actively participate in course activities e.g. voting on multiple choice questions and submitting short answers online.
Upon request, the lecturer will also provide students with individual oral feedback on their mandatory assignment.
For foreign students not enrolled: Admission requirements, registration etc: Study Economics.
For gæste- og enkelfagsstuderende: Tilmelding og information via Uddannelse i Økonomi.
- 7,5 ECTS
- Type of assessment
- Written assignmentIndividual take-home exam.
It takes approximately up to 30 working-hours to answer the exam assignment.
Due to other exams and holidays during the exam period two to three weeks are allocated for answering the exam assignment. More info: "Exam period".
The students are allowed to communicate about the given problem-set but must work on, write and upload the assignment answer individually. The plagiarism rules must be complied.
The exam assignment is in English and must be answered in English.
- Exam registration requirements
To qualify for the exam the student must no later than the given deadline during the course:
- hand in and have approved one mandatory assignment.
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
The exam may be chosen for external censorship by random check.
- Exam period
The exam takes place in the period:
From 14 December 2020 at 10 AM to 11 January 2021 at 10.00 AM
In special cases, the exam date can be changed to another day and time within the exam period.
The written reexam takes place:
From 12 February 2021 at 10 AM to 26 February 2021 at 10 AM
NOTE: If only few students register for the written re-exam, the re-exam might change to a 20 minutes online oral examination with aids, but without preparation time.
If changed to an oral exam the date and time for the exam will be informed by the Examination Office.
Criteria for exam assesment
Students are assessed on the extent to which they master the learning outcome for the course.
In order to obtain a passing grade, students must demonstrate in a satisfactory way that they have met the learning outcomes related to all three relevant areas: intuition, formal mathematical modeling, and application to cases.