Syllabus

Title
1463 Elective - Valuation
Instructors
Ass.Prof. Dr. Otto Janschek
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
09/01/21 to 09/23/21
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Monday 10/11/21 01:00 PM - 04:00 PM TC.3.09
Monday 10/18/21 01:00 PM - 04:00 PM TC.3.09
Monday 11/08/21 01:00 PM - 04:00 PM TC.3.09
Monday 11/15/21 01:00 PM - 04:00 PM TC.3.09
Monday 11/22/21 01:00 PM - 04:00 PM TC.3.09
Monday 11/29/21 01:00 PM - 04:00 PM Online-Einheit
Monday 12/06/21 01:00 PM - 04:00 PM Online-Einheit
Monday 12/13/21 01:00 PM - 04:00 PM Online-Einheit

Contents

  1. Forecasting financial results using information on the company’s strategy, business model, value drivers and historical financial performance.
  2. Valuation models – Intrinsic valuation based on DCF models, relative valuation based on multiples. Understanding investment returns, and how valuation models are developed to anticipate abnormal returns.
  3. Implement valuation models - Using forecasted financial statements to develop a valuation, and the assessment of that value’s sensitivity to strategic, accounting and financial considerations.

 

Learning outcomes

On successful completion of this subject students should be able to:

  1. Explain the basic techniques of financial analysis and business valuation.
  2. Appreciate the linkage between industry analysis, strategic business analysis, financial analysis and financial forecasts.
  3. Discuss how to use different valuation models, as well as the benefits and limitations of those models.
  4. Develop valuation models using spreadsheet software.

Attendance requirements

A minimum of 80% of in-class hours is required.

Teaching/learning method(s)

In each class there will be a quiz on the pre-class assignment, a lecture session, which will contain the basic material and discuss key concepts from (Damodaran, 2018), and coaching sessions where groups will present their ideas on how to apply these concepts to their case.

Assessment

Pre-course assignment 20%

  • individual part: Read (Damodaran, 2018) Preface, Ch. 1+2, and complete the pre-assignment questions on Learn@WU. (10%)
  • group (10%): Get acquainted with your target firm and prepare a spreadsheet with a financial model based on the historical data (at least 5 years where available).

Class participation 10%

Quizzes 20%

At the beginning of sessions 3 and 4, a short quiz will be administered covering the previous session's topics.

This will enable students to demonstrate that they have met objectives 1 to 3.

Group Assignment 50%

Teams of students will develop and present a valuation model of a listed firm. Teams will be set up by Sept 24.

This will assess students' understanding of the concepts of business valuation and their ability to consider practical applications. It will also allow students to demonstrate that they can use spreadsheets to tackle practical valuation problems.

Grading will be based on the spreadsheet model, the presentation of the model, and the discussion. Each group will also serve as a discussant for another group's model.

This assignment will allow students to demonstrate that they have met learning outcomes 1 to 4.

Grading scale:

Excellent (1): 87.51%<100.00%
Good (2): 75.01%-87.50%
Satisfactory (3) 62.51<75.00%
Sufficient (4) 50.00%<62.50%
Fail (5) <50.00%

Prerequisites for participation and waiting lists

none

    Readings

    Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

    Recommended previous knowledge and skills

    Basic accounting and finance knowledge required.

     

    Students who attended the business planning and performance management courses or with experience in spreadsheet modeling, financial statement analysis and/or DCF analysis will enjoy an advantage. If you want to get a running start, take a look at the following resources (some library links are only available in German, so please see the library info desk if you require assistance):

    Last edited: 2021-09-22



    Back