0656 Course IV - Business Forecasting Project
Ass.Prof. Dr. Otto Janschek, Gianluca Piucco, BSc (WU), MSc
Weekly hours
Language of instruction
09/19/22 to 09/19/22
Anmeldung durch das Institut
Notes to the course
Day Date Time Room
Tuesday 11/15/22 01:00 PM - 05:00 PM EA.5.044
Tuesday 11/22/22 01:00 PM - 05:00 PM D5.1.002
Tuesday 11/29/22 01:00 PM - 05:00 PM D5.1.001
Tuesday 12/06/22 01:00 PM - 05:00 PM D5.1.002
Tuesday 12/13/22 01:00 PM - 05:00 PM D5.1.002
Tuesday 12/20/22 01:00 PM - 05:00 PM D5.1.001
Tuesday 01/10/23 01:00 PM - 05:00 PM D5.1.002
Tuesday 01/17/23 01:00 PM - 05:00 PM D5.0.002

This class is project-based. Together with a selected partner firm, students will conduct a full-scale financial analysis, prepare a valuation model and present them to its management.

Learning outcomes

After completing this class students will be able to:

  • apply simple forecasting methods
  • set up a financial planning model
  • implement a DCF-valuation model
  • perform a multiples-based valuation
  • discuss issues in forecasting financials and implementing DCF models

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
  • 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
  • Teaching materials for self-study
  • Coachings
  • Group discussions
  • Group assignments
  • Individual 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 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. Practitioner input will give students guidance and feedback on their progress.


    The course grading system is based on:

    • homework exercises 20% 
    • Excel model and final presentations, incl. components of grading carried out by partnering company and peer review 70%
    • 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
    SBWL-Grundkurs (Kurs 1) und Business Analysis Project Kurs

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    Recommended previous knowledge and skills

    Apart from financial analysis and basic investment analysis knowhow (Grundkurs SBWL, Business Analysis Project) your performance and level of effort will depend on your Excel and Powerpoint skills. For those who have not used these tools intensively, we recommend to (re)acquaint yourself with these programs before the start of the course. VBA programming is not required, but may be helpful.

    Specifically, we recommend a look at the following issues:

    Microsoft Excel: separation of data and models, absolute and relative cell references, standardizing workbook formats, customized cell formats, conditional formatting, linking worksheets, resolving circular references, 3 statement models.

    Microsoft Powerpoint: basic forms of presenting information, shapes provided with powerpoint, elements of PPT templates.

    Availability of lecturer(s)

    Otto Janschek & Gianluca Piucco

    contact hours: Tuesdays at Ifu/Dienstagsbier

    Last edited: 2022-03-31