0729 Course III - Business Analysis Project
Ass.Prof. Dr. Otto Janschek, Claudia Marini, MSc (WU)
Weekly hours
Language of instruction
09/13/21 to 09/15/21
Registration via LPIS
Notes to the course
Day Date Time Room
Tuesday 09/28/21 01:00 PM - 05:00 PM TC.2.02
Tuesday 10/05/21 01:00 PM - 05:00 PM D3.0.218
Tuesday 10/12/21 08:00 AM - 05:00 PM TC.2.02
Tuesday 10/19/21 01:00 PM - 05:00 PM D5.1.004
Tuesday 11/02/21 01:00 PM - 05:00 PM TC.3.06
Tuesday 11/09/21 01:00 PM - 05:00 PM D2.0.030
Tuesday 11/16/21 01:00 PM - 05:00 PM TC.2.02

This class is project-based. Together with a group of valuation professionals, we will explore how the increasing focus on ESG impacts business valuation. The goal of this course is to develop concepts for empirical studies that will be implemented in the linked course 4.

Learning outcomes

After completing this class students will be able to:

  • analyze the impact of a major exogenous change on different industries and firm strategies
  • interpret financial reports and identify ESG related information
  • use databases like Bloomberg or Refinitiv to access key financial data
  • calculate and interpret financial ratios and KPIs
  • combine financial and non-financial data to analyze value drivers
  • conduct a literature review
  • describe and interpret different ESG ratings
  • identify basic linkages between classic value drivers and ESG measures

Apart from that, completing this course will contribute to students' abilities to:

  • be an effective, hard- and soft-skilled team member
  • work effectively in a team-based structure
  • develop a project structure for a loosely defined project and prioritize tasks
  • give presentations on complex topics

    Attendance requirements

    Attendance: In order to successfully pass this course, your absence is limited to 20% of all our appointments including online sessions. 

    Teaching/learning method(s)

    • Lectures
    • Material for self-study
    • Quizzes
    • Coachings
    • Group discussions
    • Group assignments

    The course uses a problem-based learning approach. This implies that students will need to develop solutions to complex questions on an individual and/or group level. To support this process, a mix of instruments will be used: Input lectures and other learning materials will provide basic concepts for the next steps, coaching sessions will provide early feedback, and presentations and reports will demonstrate the ability of students to successfully structure problems and provide meaningful answers.


      The course grading system is based on:

      • Kick-off presentations 30% 
      • Quiz 10%
      • Presentation of intermediate results including the literature review and proposal for empirical part, incl. components of grading from peer-review 50%
      • Participation 10%

      Grading scheme

      • excellent/Sehr gut ≥87,5%
      • good/Gut ≥75,0%
      • satisfactory/Befriedigend ≥62,5%
      • sufficient/Genügend ≥50,0%
      • not sufficient/Nicht genügend <50,0%
      Prerequisites for participation and waiting lists

      required: SBWL Course I

      recommended: SBWL Course II, AMC III


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      Recommended previous knowledge and skills

      Experience in Excel modeling, with IFRS or corporate finance topics will be helpful, but is not required. If you have no prior experience with researching literature, looking at WU libraries homepage gives you a good idea of what will be required.

      Availability of lecturer(s)

      Otto Janschek & Claudia Marini

      contact hours: Tuesday at 17:15 at (virtual) Dienstagsbier (IfU/Dienstagsbier) or by appointment

      Last edited: 2021-09-07