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FIN 606 – FinTech

General Information

This course covers recent technological innovations and the emergence of new players in the financial services industry that both fall under the umbrella term of FinTech. A special focus will be on blockchains and other relevant technologies and their application to decentralized finance, cryptocurrencies, and smart contracts. Other introduced innovations include alternative payment systems, crowd finance, InsurTech, and robo advising, while also presenting associated risks and regulatory approaches.

Learning Outcomes

After the completion of this course, students will have gained a thorough understanding of the FinTech industry. They will be able to describe its underlying technologies, analyze the industry’s recent developments, recognize associated risks, and explain its impact on the more traditional financial services industry.

Important: In the fall semester 2022, the lectures take place in M003!

Further Information

  • Course Outline

    This is just a preliminary outline. A detailed syllabus will be provided at the beginning of the course.

    1. What even is FinTech?
    2. The Tech in FinTech
    3. Payments, Banking, and Investing
    4. Blockchains and Cryptocurrencies
    5. Crowd Finance and Social Trading
    6. InsurTech
    7. RegTech and Regulating FinTech (if time permits)

    You will find the lecture slides and additional material on Ilias.

  • Time & Venue

    The course FIN 606 will be offered in the fall semester of 2022. The course will start September 6th with weekly lectures on Tuesdays at 8:30. The lecture takes place in M003.

  • Language

    The course is taught in English. All materials and the exam will be in English.

  • Assessment

    There will be a final written exam that makes up 100% of the final grade.

  • Requirements

    The course generally assumes some basic knowledge of finance (e.g., present value methods, portfolio theory, equilibrium models, derivatives, trading, banking), mathematics (analysis, optimization) and statistics (e.g., mean, variance, correlation, and multivariate regression).

Faculty

Dr. Stefan Scharnowski

Dr. Stefan Scharnowski

Postdoc
University of Mannheim
Business School
L 9, 1–2 – Room 510
68161 Mannheim
Phone: +49 621 181–1521
Fax: +49 621 181–1519
E-mail: scharnowski uni-mannheim.de
Web: Personal Website
ORCID iD: 0000-0002-3755-1821
Consultation hour(s):
by appointment