- Docente: Emanuele Bajo
- Credits: 8
- SSD: ECON-09/A
- Language: English
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Economics and Finance (cod. 8835)
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from Sep 14, 2026 to Dec 14, 2026
Learning outcomes
The goal of this course is to provide students with the fundamental tools to understand financial decision-making in the modern corporation. Topics include: capital budgeting/corporate investment, capital structure, corporate sources of funding and dividend policy. In the course these topics are framed within the standard theories of risk and return, valuation of assets and market structure.
Course contents
Financial Planning and Analyzing financial performance
Capital budgeting (NPV, IRR and payback period)
Capital budgeting and risk (asset beta and equity beta)
Financing decisions and the firm cost of capital
Capital issuing (seasoned equity offers, IPOs and venture capital)
Readings/Bibliography
Brealey, Myers, Allen, Principles of Corporate Finance (12th Edition). McGraw Hill International.
Chapters: 1-10; 14-19; 28-29
Teaching methods
The course will be divided in theoretical lectures and applied sessions dedicated to solving case-based problems. During the course it will be made large use of real-data gathered from financial web sites.
Whiteboards and slides will be mixed to deliver the content of the course.
Assessment methods
Exam will take place during the official sessions and it will be a comprehensive final exam including the theoretical and the technical/practical part. The exam will include one practical case and one theoretical section. The practical case is aimed to assess your ability to put in practice corporate finance techniques; the theoretical section is intended to evaluate your level of understanding and knowledge of the foundations of corporate finance. The practical case will be evaluated maximum 20/30 and the theoretical section 10/30.
The maximum possible score is 30 cum laude, in case all anwers are correct, complete and formally rigorous.
The grade is graduated as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent
Use of Generative AI in Assessment
The use of generative AI is not permitted in assessment activities carried out in uncontrolled environments. Submitted work may be subject to validation through review of the materials and working documents produced by the student and required to be submitted, and, where necessary, through an oral examination.
Teaching tools
Dedicated page on the VIRTUALE platform containing:
- News and updated information
- Lectures slides
- Excel files
Office hours
See the website of Emanuele Bajo