This module provides an overview of financial risk management, combining theoretical foundations with practical applications through lectures, case studies, and exercises. It equips students with tools to identify, measure, and manage financial risks in both financial and non-financial institutions. The course covers market risk topics, including foreign exchange risk assessment, hedging strategies, basis risk in futures contracts, and risks from dynamic trading and option strategies. It also introduces advanced risk metrics such as Value-at-Risk, Earnings-at-Risk, and Cashflow-at-Risk, including their applications and limitations. A further focus is on credit risk, including credit-scoring models, rating transitions, structural models such as the Merton model, and portfolio-level risk aggregation with default-correlation modeling.
- Apply modern risk modeling techniques to analyze and optimize the risk position of a corporation
- Estimate and interpret the price of risk in different financial contexts
- Describe, differentiate, and evaluate financial products used in risk management
- Perform and interpret regression analyses, including non-linear models, to predict default probabilities based on observable characteristics
- Evaluate credit risk of individual claims using structural models, the credit migration approach, and scoring models
This course is part of the prestigious part-time Master in Finance program, conducted in English on Fridays and Saturdays on Campus Westend. It offers a valuable opportunity to network and gain expertise without committing to a full degree program. Upon completion, participants receive a Certificate of Participation. This course may be credited towards the Certificate of Advanced Studies (CAS) in Risk Management & Regulation when completed together with the other required courses within one academic year. As the number of seats is limited, we recommend to register early. If you're a GBS or Goethe University alum, explore our attractive alumni discount options.
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Prof. Dr. Andreas Barth
Prof. Dr. Andreas Barth is Assistant Professor of Digital Transformation in Finance and Accounting at Saarland University, Saarbrücken. Before joining, he was an Assistant Professor at the Chair of Banking and Finance at Goethe University Frankfurt. He graduated under Prof. Dr. Isabel Schnabel at Gutenberg University Mainz and completed research stays at the European Systemic Risk Board and the European Central Bank. His teaching focuses on financial modeling, risk management, and applied econometrics, while his research focuses on financial intermediation, banking regulation, and financial markets.