Stand: SoSe 2024
| Name | Elective International Management 2 | |
| Katalog-Nummer | FK 10#IM#IM.5 | |
| Zugehörigkeit zu Curriculum | 
                    Bachelor Betriebswirtschaft | 5.4.2 | 5 Leistungspunkte
                 
                    Bachelor Betriebswirtschaft | 6.4.2 | 5 Leistungspunkte
                 | |
| Modulverantwortung | 
                    Prof. Dr. Dominik Hammer
                 
                    Prof. Dr. Sandra Selmanovic
                 | |
| Lehrende | 
                    Florent Deisting
                 | |
| Prüfung(en) | Prüfungsform: ModA Detailangaben: See Syllabus which will be forwarded before class Hildsmittel: See Syllabus which will be forwarded before class 
                            Prüfende:
                                Florent Deisting
                                                            , Prof. Dr. Dominik Hammer
                         | |
| Lehr- und Lernform(en) | 
                         | 4 SWS | SU - 1 Angebot(e)
                     | |
| Arbeitsaufwand | Präsenzzeit: 0 Stunden Selbststudium, Vor- und Nachbereitung, Prüfungsvorbereitung: 0 Stunden | |
| 
                Voraussetzungen
             |  | |
| 
                Verwendbarkeit
             |  | |
| Inhalt / Lernziele |  | |
| Name | Elective International Management 2 | |
| Katalog-Nummer | FK 10#IM#IM.5 | |
| Zugehörigkeit zu Curriculum | 
                        Bachelor Betriebswirtschaft | 5.4.2 | 5 Leistungspunkte
                     
                        Bachelor Betriebswirtschaft | 6.4.2 | 5 Leistungspunkte
                     | |
| Modulverantwortung | 
                        Prof. Dr. Dominik Hammer
                     
                        Prof. Dr. Sandra Selmanovic
                     | |
| Lehrende | 
                        Florent Deisting
                     | |
| Prüfung(en) | Prüfungsform: ModA Detailangaben: See Syllabus which will be forwarded before class Hildsmittel: See Syllabus which will be forwarded before class 
                                Prüfende:
                                    Florent Deisting
                                                                    , Prof. Dr. Dominik Hammer
                             | |
| Lehr- und Lernform(en) | 
                             | 4 SWS | SU - 1 Angebot(e)
                         | |
| Arbeitsaufwand | Präsenzzeit: 0 Stunden Selbststudium, Vor- und Nachbereitung, Prüfungsvorbereitung: 0 Stunden | |
| 
                    Voraussetzungen
                 |  | |
| 
                    Verwendbarkeit
                 |  | |
| Inhalt / Lernziele | Learning outcomes With regard to the qualification category of knowledge and understanding, the course participants are able to: · Provide an overview of the most important valuation methods and to compare these · Relate corporate finance to other modules such as financial management, portfolio management and derivatives · Relate corporate planning to corporate valuation and to describe the linkages in their own words 
 With regard to the qualification category of abilities, the course participants are able to: · Use their knowledge about planning and valuation methods to develop a professional standard model for corporate valuation which incorporates the principles of financial modeling (Application 1) · Obtain the data necessary for a corporate valuation from information providers such as Bloomberg or Thomson Reuters and to process the data. · Independently structure complex tasks in corporate valuation and to develop independent modules to solve these tasks (Application 2) · Critically evaluate the results of the corporate valuation and to clarify any differences (Application 1 & 2) · Interpret the results of the corporate valuation and to independently draw conclusions for corporate finance transactions (Application 1 & 2) · Review the structure of the valuation model and the results of the corporate valuation with the help of a model review (Application 2) 
 With regard to the qualification category of competencies, the course participants are able to: · transfer the results from the corporate valuation to other modules such as financial management, portfolio management and derivatives and to combine them with these modules. · manage a project in the field of corporate valuation and to develop proprietary solutions in a team of valuation experts. · compile a transparent and comprehensive documentation of assumptions and methods for a given valuation project. · structure the process of corporate valuation and to apply the standards of professional financial modeling. · master theoretical and empirical challenges of corporate valuation. · apply their knowledge to specific valuation projects and to adjust it to actual valuation situations. · critically challenge the assumptions, algorithms and results of every valuation approach. · present and defend the valuation results in front of clients 
 Literature  Textbook: Titman, Sheridan and Martin, John D (2015): Valuation – the art and science of corporate investment decisions, Pearson. Chapter 1 to 7 
 Recommended literature: Häcker, J., Ernst, D. (2017): Financial Modeling - An Introductory Guide to Excel and VBA Applications in Finance, Macmillan, London. Fabozzi, Frank J. (2013): Encyclopedia of Financial Models, Wiley. 
 Further Literature: Benninga, S. (2014): Financial Modeling, 4. Auflage, MIT Press, Cambridge Massachusetts. Day, A. L. (2007): Mastering Financial Modelling in Microsoft Excel, 2. Auflage, Prentice Hall. Ernst, D./Häcker, J. (2011): Applied International Corporate Finance, Vahlen, München, 2. Auflage. Hawley, D./Hawley, R. (2007): Excel Hacks Tips&Tools for streamlining your spreadsheets, 2. Auflage, O'Reilly,Sebastopol. Munter, M. (2006): Guide to Managerial Communication, Prentice Hall, 7. Auflage. Osband, Kent (2014): Padora’s Risk – Uncertainty at the Core of Finance, Columbia University press. Powell, S. G. (2008): Modeling for Insight: A master class for business analysts, J. Wiley & Sons, Hoboken. Sengupta, C. (2004): Financial Modeling using Excel and VBA, John Wiley & Sons, Hoboken, New Jersey. | |