This course explores a high-profile financial collapse in the world of decentralized finance (DeFi) and stablecoins, revealing how complex technology and compelling narratives can mask fundamental weaknesses and fraud risk. Participants will examine how the company built credibility through investor psychology, artificial adoption, and misleading system design, while lacking true economic backing. Through this case study, the course highlights key red flags, structural vulnerabilities, and regulatory issues, equipping professionals with practical insights to evaluate emerging financial models, identify fraud risks, and apply critical thinking in rapidly evolving markets. Recorded November, 2024.
Learning Objectives
• Identify key fraud risk indicators in decentralized finance (DeFi) environments, including lack of oversight, artificial adoption, and weak underlying economics.
• Explain how investor psychology, marketing narratives, and behavioral biases can contribute to the growth and persistence of fraudulent financial schemes.
• Evaluate the structural weaknesses of stablecoins and algorithmic financial models, and assess how these weaknesses can lead to system collapse and investor losses.
Major Topics
• Fraud
• Internal controls
• Auditing
• Ethical issues
• Advanced accounting issues
• Risk management
