Michael Razen

Michael Razen is a Professor and Department Head at MCI | Die Unternehmerische Hochschule® as well as an affiliated researcher at the Department of Banking and Finance at Universität Innsbruck. He holds a PhD in Economics from Universität Innsbruck (2017) and became a Privatdozent in 2023. His research focuses on Behavioral Finance, Market Efficiency, and Financial Literacy, employing experimental and econometric methods. He leads the 'Innsbruck Decision Sciences' research group and co-founded the FiT financial literacy program for youth. Razen has been recognized with awards including the Bates-White Prize and CFA Society Austria Prize. He teaches courses like Data Science and Decision-Making at MCI while maintaining active academic collaborations across institutions globally.

His research team includes Sebastian Bachler, Sabine Ferdik, and others. Recent work explores domain-specific financial decision-making, computational reproducibility in finance, and family firm CSR dynamics. Over 20 peer-reviewed publications span journals like Science, Strategic Entrepreneurship Journal, and European Economic Review. He advises both academic and industry stakeholders, sits on the board of the Austrian Financial Literacy Foundation, and frequently presents at international finance conferences.

• Education:
  • BSc in Economics, Universität Innsbruck (2011)
  • MSc in Finance and Economics, London School of Economics (2012)
  • PhD in Economics, Universität Innsbruck (2017)
  • Privatdozent (Habilitation), Universität Innsbruck (2023)
• Grants & Awards:
  • 2022: Bates-White Prize for Best Paper (Society for Financial Econometrics)
  • 2018: CFA Society Austria Prize
  • Multiple research stipends from Universität Innsbruck (2013–2015)
• Teaching Roles:
  • Lead courses in Data Science, Decision Theory, and Financial Literacy
  • Advises master's theses and entrepreneurship labs at MCI

Labs/Teams: Core member of Innsbruck Decision Sciences, founder of FiT program, and collaborator in international financial research networks. Current projects include AI ethics in business decisions and stakeholder analysis for corporate sustainability.