Für die Teilnahme an einer Vertiefung ist eine Anmeldung notwendig.
Die Teilnahme an einer Vertiefung ist gem. SPO möglich ab dem Erreichen von 80 CP
im Studienverlauf (CP aus FWP/AWP-Fächer rechnen nicht mit). Die 80 CP
müssen mit dem Beginn des SoSe 2024 (15.03.2024) vorliegen.
Der Anmeldezeitraum läuft von Montag, 15.01.2024
(07:00 Uhr) bis Mittwoch, 31.01.2024 (23:00 Uhr).
Bei dem verwendeten Anmeldeverfahren handelt es sich um ein Prioritätenverfahren (kein "first come first serve"). Erst nach Ablauf der Anmeldephase wird eine Platzzuteilung vom System vorgenommen.
Über die Platzzuteilung werden Sie nach Abschluss des Anmeldeverfahrens informiert, spätestens jedoch bis zum 15.02.2023.
Alle weiteren Informationen finden Sie im Kursraum, in dem Sie als IM-Studierende automatisch eingeschrieben sind.COURSE SUMMARY
The lectures on CORPORATE VALUATION supplements the VT IM CF&CM lectures on the END-TO-END M&A PROCESS DESIGN.
The lectures will be in the upcoming summer term every Monday from 11:20 through 13:00 (room # W 1.03).
COURSE DESCRIPTION & METHODOLOGY
The understanding how companies create value, how they measure value creation and how they finance on equity and debt capital markets their investments to scale their business is the intellectual backbone of any market economy. This is also the essence of this lecture series. We will learn that companies create only value by investing capital they raise from investors on equity and debt capital markets to generate future cash flows at rates of return exceeding their specific risk adjusted cost of capital.
This is paramount to understand in the 2020s as equity capital markets, and here especially technology stocks, travelled fast north to elevated levels. So, what is the fair value bandwidth of such digital Business Designs and platform companies, like Google, Tesla, Uber, Airbnb or Netflix? A paramount question we will consistently address.
Lecture presentations will be released ahead of time. Lectures, articles, case studies and further readings as well as web references will be posted on Moodle.
As mandatory text books we will use:
- Feix, T. (2020). End-to-End M&A Process Design - Resilient Business Model Innovation. Wiesbaden: Springer Science.
- Feix, T. (2021). Valuing Digital Business Designs and Platform Companies - An Integrated Strategic and Financial Valuation Framework. Springer Science Global Book Series: The Future of Business & Science. Wiesbaden: Springer Science.
- Koller, T.; Goedhart, M.; Wessels, D. (2020). Valuation – Measuring and Managing the Value of Companies", 7th edition, 2020. NY: Wiley.
Additional text books, articles, case studies and web-literature will be used for specific lectures. You should also prepare yourself by regularly reading the Economist (weekly) and the Financial Times (daily).
COURSE REQUIREMENTS
Students are expected to carefully review the assigned reading materials before each session, diligently work on the assigned problems, questions, and cases, and to participate actively in class discussions. You should be prepared to spend some time to digest the material, as well as to work on the assignments and case studies. Timely submission of the assigned work is critical. Late submissions will not be accepted.
TIMING & TOPICS
Our flow of topics will be:
# 1 Introduction to Corporate Valuation
# 2 Alternative Valuation Approaches
# 3 Financial & Performance Diagnostics I
# 4 Financial & Performance Diagnostics II
# 5 Forecasting Performance and Cash Flows I: Planning Period
# 6 Forecasting Performance and Cash Flows II: Continuing Value
# 7 Corporate Finance and Cost of Capital: Levered & Unlevered
# 8 The Walk from Operating to Enterprise to Equity Value and Value per Share
# 9 Valuation Framing with Multiples
# 10 Case Study Training for Exam
- Dozent/in: Thorsten Feix
COURSE SUMMARY
This lecture on "The End-to-End M&A Process Design" is one of the modules of the VT "Corporate Finance & Capital Markets" and supplements the lecture on "Corporate Valuation".
In rapidly evolving markets characterized by digital disruption, business model innovation, boundary-less competition of platforms and reconfiguration of global value chains, robust strategies are paramount to increase shareholder value and propelling growth. Business strategies have to be sensitive to their specific ecosystem and, therefore, should be tailor-made. Mergers & Acquisitions (M&As) are, among other strategies, a particular approach to leverage growth and value by redesigning corporate portfolios or by creating a competitive advantage at the business unit level. The dark side (remember Darth Vader:-)) of those strategies is that they bear significant risks, like synergy underperformance or culture clashes. Literally, empirical evidence proves that transactions tend to underdeliver on promised synergies and relative total shareholder return on the buy side due to challenges mainly encountered during Integration Management.
The course will focus on the strategic and technical - including valuation and financing - challenges of M&A processes in an international and digital context and offers a rich toolbox.
COURSE DESCRIPTION & METHODOLOGY
"The End-to-End M&A Process Design" is based on my 2020 book on an End-to-End (E2E) M&A Process Design - Resilient Business Model Innovation. The E2E M&A Process Design is based upon five modules: the first three, the primary M&A process modules, are the Embedded M&A Strategy, the Transaction Management and the Integration Management. These primary M&A process modules are supplemented by two M&A support processes, the Synergy Management and the M&A Project Management & Governance. The framework of our lectures is built around those five modules:
- Embedded M&A Strategy
- Transaction Management
- Integration Management
- Synergy Management
- M&A Project Management & Governance
The mandatory text books we will use throughout the lectures are:
- Feix, T. (2020). End-to-End M&A Process Design - Resilient Business Model Innovation. Wiesbaden: Springer Science.
- DePhampelis, D.M. (2019). Mergers, Acquisitions, and Other Restructuring. Los Angeles: Academic Press. (Selected chapters).
- Sirower, M.L. (1997). The Synergy Trap – How companies lose the acquisition game. New York: Free Press.
Whitaker, S. (2016). Cross Border M&A. New Jersey: Wiley&Sons.
Additional text books, articles and web-sources will be used for dedicated lectures. You should also prepare yourself by regularly reading the Economist (weekly) and the Financial Times (daily).
COURSE REQUIREMENTS
Students are expected to carefully review the assigned reading materials before each session, diligently work on the assigned problems, questions, and cases, and to participate actively in the class discussions. You should be prepared to spend some time to digest the material, to work on the assignments and case studies. Timely submission of the assigned work is critical. Late submissions will not be accepted.
COURSE LOGISTICS & TIMING
Lectures will be every Monday from 14:00-15:30 (Room W 1.03).
# 1 E2E M&A Process Design
# 2 Embedded M&A strategy I: Strategic Rational
# 3 Embedded M&A strategy II: Business Model Innovation
# 4 Embedded M&A strategy III: Corporate Revitalization I
# 5 Embedded M&A strategy IV: Portfolio Revitalization II
# 6 Transaction Management I: Introduction to Transactional Value Add - Synergies vs Acquisition Premia
# 7 Transaction Management II: Advanced Valuation - The Valuation of Startups and Platform Companies
# 8 Synergy Management I: Valuation & Synergies
# 9 Synergy Management II: Synergy Capture
# 10 Integration Management I - Integration Approaches
# 11 Integration Management II – Joint Business and Joint Culture Design
- Dozent/in: Thorsten Feix
This
class is part of the study focus Corporate Finance (8 weekly contact
hours, 12 ECTS credits).
We will meet (almost) regularly on Tuesdays from 11.40 am to 1.10 pm in room W1.03. You find details about the classroom sessions in the syllabus or the timeline below.
There will be one final exam (120 minutes) at the end of the semester covering all four parts of the study focus. All parts are equally weighted, so "Financial Risk Management" will contribute 25% towards the final grade. The exam part will correspondingly have 25 points (out of 100 in total). You don't have to pass exam parts separately. For a passing grade, you only need 50 out of the 100 points (no matter from which exam part). There is the possibility to earn up to 5 bonus points towards the "Financial Risk Management" part of the exam when you complete the assignments on DataCamp.
- Dozent/in: Michael Feucht
Investor Relations
This course is part of the study focus Corporate Finance.
Lecturer
Prof. Dr. Georg Erdmann
Examination
Written exam, structure is published in the course documents
Time
Tuesday 14:00-15:30
- Dozent/in: Georg Erdmann
Topics: In this part "European Integration" of the course "European Business Studies", we will focus on important EU policy areas from an economic point of view. The class focuses on six core economic policy areas: The EU Financial System, EU Environmental and Energy Policy, EU Competition Policy, EU Trade Policy, EU Regional Policy and Digitalization in the EU. Regarding the different topics, we will look both into economic theory and discuss current important topics in this respect.
Date:
- Wednesdays: 09:40 - 11:10 (room: W2.13)
- Thursdays: 09:30 – 12:30 (room: W2.13)
Assessment and contribution to module mark: written exam
Credits: 6 SWS / 9 CPs
Lecturer: Prof. Dr. Maria Lehner
- Dozent/in: Maria Lehner
This lecture is part of the module "Managing Data-Driven Business Models (MD2B)". It contains the part "Understanding and Deploying Data-Driven Business Models" presented by Prof. Frank Danzinger. The corresponding other part of the module is given by Prof. Jianing Zhang.
We will deal in this lecture with:
- Data and business understanding (e.g., IoT-Data-Chain, digital business models)
- Implementation of digital and data-driven business models (e.g., digital maturity, SDL, CRISP-Cycle, industry 4.0)
- Dozent/in: Frank Danzinger
- Refresher/Intro to programming in Python
- Refresher of Maths/Stats for Machine Learning (ML)
- Web scraping
- Sentiment analysis
- Social media monitoring
- Song lyrics analysis
- Face recognition
- Deep Learning/Neural Networks
- ChatGPT for Data Science
- Dozent/in: Jianing Zhang