Universität Wien
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040569 KU Valuation (MA) (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Zusammenfassung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.

Gruppen

Gruppe 1

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Attendance of the first meeting is MANDATORY.
Every Thursday digital from 26. November to 28. January, 9.45 am- 1.00 pm.

  • Donnerstag 26.11. 09:45 - 13:00 Digital
  • Donnerstag 03.12. 09:45 - 13:00 Digital
  • Donnerstag 10.12. 09:45 - 13:00 Digital
  • Donnerstag 17.12. 09:45 - 13:00 Digital
  • Donnerstag 07.01. 09:45 - 13:00 Digital
  • Donnerstag 14.01. 09:45 - 13:00 Digital
  • Donnerstag 21.01. 09:45 - 13:00 Digital
  • Donnerstag 28.01. 09:45 - 13:00 Digital

Gruppe 2

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Attendance of the first meeting is MANDATORY.
Every Friday digital from 27. November to 29. January, 9.45 am- 1.00 pm.

  • Freitag 27.11. 09:45 - 13:00 Digital
  • Freitag 04.12. 09:45 - 13:00 Digital
  • Freitag 11.12. 09:45 - 13:00 Digital
  • Freitag 18.12. 09:45 - 13:00 Digital
  • Freitag 08.01. 09:45 - 13:00 Digital
  • Freitag 15.01. 09:45 - 13:00 Digital
  • Freitag 22.01. 09:45 - 13:00 Digital
  • Freitag 29.01. 09:45 - 13:00 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course focuses on methods to value firms and/or individual projects. We will cover two alternative approaches to valuation:
discounted cash flow valuation and relative valuation.

We start with an in-depth analysis of the discounted cash flow method and its practical implementation. More specifically we will discuss various versions of discounted cash flow models, including the discounted free cash flow model, discounted capital cash flow model, and adjusted present value model. We will also discuss how various inputs required by those valuation models can be obtained from historical data. In particular we will discuss how to forecast future cash flows, calculate residual values and derive appropriate discount rates.

The relative valuation approach estimates the value of a firm by looking at the pricing of "comparable" firms relative to a common variable such as earnings, cash flows or book equities. We will discuss pros and cons of this popular valuation method.

The course provides you with hands-on experience in valuation. The collaboration with KPMG gives a unique opportunity to share and defend your ideas in front of a top management (a skill, which is extremely valuable for your future jobs/interviews).

The course will be a mixture of lectures and case studies.

CASES

Case Studies:

(1) In-class mini case
(2) Harvard Business School Case Debt Policy at UST, Inc.
(3) Real Case Study from KPMG

Art der Leistungskontrolle und erlaubte Hilfsmittel

• This course emphasizes both theoretical analysis and practical applications.
• Working language is English.
• Students are required to come to classes, read all cases and actively participate in the discussions.
• There will be 3 case preparations (one non-graded, two graded).
Cases must be handed in on time. No credit will be given for late cases.
• You are encouraged to meet in groups to discuss and analyze the cases. In the past, students have found that these groups complement the class discussion well.

Mindestanforderungen und Beurteilungsmaßstab

The evaluation will be based on the following items: case studies (50%) and exam (50%), with up to 10% bonus based on in-class participation.

The case delivered by KPMG is also part of the assessment.

Attendance is COMPULSORY. The pass grade is 50%.

Prüfungsstoff

Literatur

Prerequisite:
Introductory knowledge in Accounting, Corporate Finance and Excel are necessary in order to follow this course and to eventually pass this course.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:12