Project Capital Investment –
Module at FOM University of Applied Sciences

Lecturer: Prof. Dr. Alexander Zureck. Develop a strategy, implement it with Onvista, and present the results in a well-founded manner.

🎓 Introduction

Dear Students

Here you will find additional learning material for the module “Project: Capital Investment.” It will help you to better understand the content—and to successfully master the exam performance.

The module is more than just theory: Together with my colleagues Eric Frère, Ilja Schaab, and Jan Heyder , we have developed it over the years – by FOM graduates for FOM students. With gamification, learning comes alive: Theory is directly applied in practical exercises.

– Prof. Dr. Alexander Zureck

Börsenticker als Beispiel auf einem Bildschirm

🎯 Objective of the module

In the stock market simulation game, students work in groups to develop their own trading strategy, implement it using the Onvista trading platform, and scientifically analyze the results. The curriculum covers strategies (Day trading, Swing, Value, Dividends), theory (Markowitz, Fama, Tversky/Kahneman), and biases (Home Bias, Overconfidence, Herding). Modern tools like Onvista, TradingView, and Morning Briefing can be used.

🎓 Examination performance

Group Presentation (no video work)

4 milestones lead to the final presentation (January/February). Presentations can either be held live or uploaded as a video (PDF upload of slides after the presentation, 1 upload per group). Registration via the online campus.

  • Group names: choose a European city
  • Appointment slots: January/February (2 × 4 teaching units)
  • Upload: final PDF after the presentation

Milestones

  1. Persona: Investor Profile (Profession, Income, Time Budget, Risk Appetite, Time Horizon)
  2. Strategy: Day Trading / Swing / Value / Dividends (Justification & Literature Reference)
  3. Implementation: Make & document trades/investments in the Onvista model portfolio
  4. Reflection: Results vs. Assumptions, Theoretical Linkage (Markowitz, Fama, Tversky/Kahneman), Biases

The goal is the comparable implementation (Onvista use) and the reflected classification with portfolio theory & behavioral finance.

📅 Organization & Support

Organization

  • Group Size: max. 5 students
  • Registration for the exam: Online Campus (Please observe deadlines)
  • Communication: exclusively via @fom-net.de

❗Missed deadlines → Retake the module next semester.

Office Hours / Group Appointments

If you get stuck, book a consultation by clicking the button.

  • Individual group appointments via Calendly (up to 5 participants per slot).
  • Important: Do not pass on the link – please have all group members register themselves. Exchange between groups is encouraged.

🖥️ Presentation

Layout & Style

Goal: clean, fact-based, easy to read – as with IR decks of large corporations.

  • Light background, dark font (uniform requirement)
  • Tools allowed: PowerPoint, Keynote, Canva, Google Slides
  • Inspiration: Investor Relations slides (e.g., BASF) or Bundesbank presentations
  • AI tools allowed (e.g., ChatGPT, Gamma AI) – content counts

Content (Guidelines)

  • Strategy Derivation & Delimitation (Day Trading/Swing/Value/Dividends)
  • Risk-Return Profile, Diversification (Markowitz)
  • Market Efficiency & Factors (Fama, possibly Fama-French)
  • Biases: Home Bias, Overconfidence, Herding (Tversky/Kahneman)
  • Transparent Onvista documentation (comparability)