Investment & Risk Management
Niveau
Introduction and consolidation
Learning outcomes of the courses/module
The students are able to:
• Understand and apply investment calculations and life cycle costing
• Understand and apply credit financing
• Identify financial institutions and analyze their interrelationships
• Identify and critically reflect on financial assets
• Identify and apply financing methods and valuations for infrastructure and real estate
• Understand and apply investment calculations and life cycle costing
• Understand and apply credit financing
• Identify financial institutions and analyze their interrelationships
• Identify and critically reflect on financial assets
• Identify and apply financing methods and valuations for infrastructure and real estate
Prerequisites for the course
none
Course content
• Investment calculation and life cycle costing (dynamic and modern approaches)
• Credit financing (loans, bonds)
• Equity financing (shares)
•Financial institutions
• Derivatives
• Market risk and management
•Behavioral economics
• Financing and valuation of infrastructure and real estate
• Credit financing (loans, bonds)
• Equity financing (shares)
•Financial institutions
• Derivatives
• Market risk and management
•Behavioral economics
• Financing and valuation of infrastructure and real estate
Recommended specialist literature
• Consoli, S., Reforgiato Recupero, D., & Saisana, M. (Eds.). (2021). Data Science for Economics and Finance: Methodologies and Applications. Springer International Publishing. https://doi.org/10.1007/978-3-030-66891-4
• Guerard, J. B., Saxena, A., & Gültekin, M. N. (2022). Quantitative Corporate Finance. Springer International Publishing. https://doi.org/10.1007/978-3-030-87269-4
• Has, M. (2024). Sustainable products: Life cycle assessment, risk management, supply chains, eco-design (2nd ed.). De Gruyter.
• Hull, J. (2023). Risk management and financial institutions (Sixth edition). Wiley.
• Saraiva, R., & Pardal, P. A. (Eds.). (2024). Sustainable Finances and the Law: Between Public and Private Solutions (Vol. 16). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49460-4
• Schoenmaker, D., & Schramade, W. (2023). Corporate Finance for Long-Term Value. Springer International Publishing. https://doi.org/10.1007/978-3-031-35009-2
• Soldatos, J., & Kyriazis, D. (Eds.). (2022). Big Data and Artificial Intelligence in Digital Finance: Increasing Personalization and Trust in Digital Finance using Big Data and AI. Springer International Publishing. https://doi.org/10.1007/978-3-030-94590-9
• Thewissen, J., Arslan-Ayaydin, Ö., Westerman, W., & Dorsman, A. (Eds.). (2024). The ESG Framework and the Energy Industry: Demand and Supply, Market Policies and Value Creation. Springer International Publishing. https://doi.org/10.1007/978-3-031-48457-5
• Guerard, J. B., Saxena, A., & Gültekin, M. N. (2022). Quantitative Corporate Finance. Springer International Publishing. https://doi.org/10.1007/978-3-030-87269-4
• Has, M. (2024). Sustainable products: Life cycle assessment, risk management, supply chains, eco-design (2nd ed.). De Gruyter.
• Hull, J. (2023). Risk management and financial institutions (Sixth edition). Wiley.
• Saraiva, R., & Pardal, P. A. (Eds.). (2024). Sustainable Finances and the Law: Between Public and Private Solutions (Vol. 16). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49460-4
• Schoenmaker, D., & Schramade, W. (2023). Corporate Finance for Long-Term Value. Springer International Publishing. https://doi.org/10.1007/978-3-031-35009-2
• Soldatos, J., & Kyriazis, D. (Eds.). (2022). Big Data and Artificial Intelligence in Digital Finance: Increasing Personalization and Trust in Digital Finance using Big Data and AI. Springer International Publishing. https://doi.org/10.1007/978-3-030-94590-9
• Thewissen, J., Arslan-Ayaydin, Ö., Westerman, W., & Dorsman, A. (Eds.). (2024). The ESG Framework and the Energy Industry: Demand and Supply, Market Policies and Value Creation. Springer International Publishing. https://doi.org/10.1007/978-3-031-48457-5
Assessment methods and criteria
written exam
Language
English
Number of ECTS credits awarded
5
Share of e-learning in %
30
Semester hours per week
2.5
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
2
Name of lecturer
director of studies
Academic year
Key figure of the course/module
IRM
Type of course/module
integrated lecture
Type of course
Compulsory