Risk Assessment Models
- To learn general concepts of risk analysis and modeling.
- To practice applying those concepts and methods to the financial risk in a close-to-real-life setting.
- To practice applying those concepts and methods to the financial risk in close-to-real-life setting.
- Analyze risks and identify their components for assessment
- Assess the quality and limitations of risk models in a different context
- Design, estimate, apply and validate several practical risk models
- Formulate basic concepts and principles of risk assessment
- Make conservative assumption and evaluate them from the perspective of practically reliable risk assessment
- Select and process data for the quantitative risk assessment
- Basics of risk analysis and modeling
- Data selection and quality assessment
- Risk model design, assessment, and validation
- Modeling and assessing portfolio market risk
- Modeling and assessing portfolio credit risk
- Individual homework on risk metrics and risk data1 week,1 attempt, online submission, no retake.
- Group assignment on modeling and measuring market riskCommon deadline – 10 days before Exams, up to 2 attempts for each assignment, online submission.
- Group assignment on modeling and measuring credit riskCommon deadline – 10 days before Exams, up to 2 attempts for each assignment, online submission.
- ExamAll students whose unrounded weighted average grade on interim control is less than 4 must take an exam. Other students will be offered to accept this average interim control grade as a final grade. In this case, a student must decide whether to take an exam or not. If a student does not take an exam, the weight of the exam proportionally distributes over other weights and the final grade derives solely from interim control grades. Students who take an exam do not have an option to switch back to interim grade and their final grades must be derived via a basic formula that includes exam results.
- 2021/2022 1st module0.2 * Exam + 0.3 * Group assignment on modeling and measuring market risk + 0.3 * Group assignment on modeling and measuring credit risk + 0.2 * Individual homework on risk metrics and risk data
- Alexander J. McNeil, Rüdiger Frey, & Paul Embrechts. (2015). Quantitative Risk Management: Concepts, Techniques and Tools Revised edition. Princeton University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.pup.pbooks.10496
- Gunter Löeffler, & Peter N. Posch. (2007). Credit Risk Modeling Using Excel and VBA. Wiley.
- Jon Danielsson. (2011). Financial Risk Forecasting : The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab. Wiley.