Aktuelle Fragen aus FACT I/III
in der Regel als Seminar oder Workshop mit intensiver Beteiligung
in der Regel begrenzte Teilnehmeranzahl
ECTS je nach Umfang (2,5 oder 5)
Aktuelles Angebot wie folgt:
Textmining in Corporate Reporting (5 ECTS, in English)
Companies publish a large number of texts, most of which are now in digital form (as files) and are usually available via the Internet. These texts include legally required disclosures such as annual financial statements, sustainability reports, ad hoc disclosures, stock exchange listing prospectuses, analysts‘ conferences, etc., but also „voluntarily“ produced texts such as press releases, image brochures, product descriptions, etc.
The texts constitute qualitative data. Text mining (other names: text analytics, natural language processing) includes algorithms that are used to automatically uncover knowledge in unstructured or semi structured text data. It is therefore a special application of data mining or artificial intelligence. Tasks include the classification of texts, the measurement of language tendencies such as sentiment, the extraction of specific content, the measurement of text similarities or the discovery of conspicuous outliers.
The data mining tool used is „Rapidminer Studio“, which must be installed on your own computer. Previous knowledge in programming is NOT required! Installation instructions: https://docs.rapidminer.com/latest/studio/installation/
The course follows the „inverted classroom“ model consisting of a teaching part and an exercise part:
- In the teaching part, tutorial videos are used to explain conceptual basics and then to demonstrate the implementation in Rapidminer, in particular by means of concrete demo examples. The demo data can be downloaded, so that the participants can follow all steps themselves.
- In the exercise part, the participants apply the learned concepts to new cases and submit the solutions. It is necessary that 80% of all exercises are successfully completed.
- The evaluation with 5 ECTS is based on the completion of a larger assigment (submission of a homework with the code, an explanation of the code and a discussion of results).
Prof. Dr. Klaus Henselmann
Limited number of students
Behind the Numbers – Drawing better Economic Conclusions from IFRS Financial Statements (5 ECTS, in English)
It is not a big secret that IFRS Financial Statements do not always show the economic truth. But how can analysts find out what really stands behind the numbers? Which information is more, which is less fragile in terms of economic content? What are the typical games that CFOs play to obscure the real economic performance? And: Are there perhaps sometimes even systematic misconceptions in our standards that lead investors up the garden path?
In this course we go deep into financial statement analysis – beyond that what investors can read from numbers and ratios alone. It is aimed at students who already have a profound understanding of IFRS accounting and who want to go a step further in their analytical skills. A real world case based lecture with requirements for participants self-analyse and present cases.
- Systematic Understanding of IFRS Financial Statements: What they say and what they don’t say (from an investors point of view)
- Management Discretion: Where is a lot of leeway and where is not much room for manoeuvring
- A journey through typical Financial Shenanigans: improper revenue and cost recognition, and cookie-jarring
- The “Ugly Three” of IFRS: R&D Accounting, M&A-Accounting and Cash
- Step-Change Problems: Liabilities, Tax Loss Carry-forwards, Consolidation levels, ESOPs and Hyperinflation
- Out-of-IFRS pitfalls: Order books, Non-GAAP Performance Measures, Segment Reporting and Related Party Transactions
- Do-your-own-valuation necessities: Pensions and other Liabilities
- One-timers and the Three-is-a-Crowd Problem
- Operating or Financial? When Classification in Financial Statements matters
- What does the management remuneration report tell us?
- Business model related accounting problems
- Some words on the problems of recent (IFRS 9, IFRS 15, IFRS 16) and upcoming standard changes
- The limits of Financial Statement Analysis: How to properly draw conclusions and make sound decisions based on research findings
Block course on 3 days for introducing the problems (complete attendance required).
Homework and presentations.
Prof. Dr. Matthias Meitner
Limited number of students
Termine und Anmeldung zu Veranstaltungen
Aktuelle Termine finden Sie in der Übersicht aller unserer Veranstaltungen dieses Semesters im Master FACT auf StudOn:
Dort finden Sie auch, wie man sich zur Veranstaltung anmeldet. Sie müssen dort auf StudOn sich zum entsprechenden Kurs anmelden und erhalten so Zugriff auf die weiteren Unterlagen.