5. Risk Quantification, Risk Modelling, Risk Aggregation, and Model Risks

This chapter delves into the critical aspects of risk quantification and modeling in enterprise risk management. It begins by addressing the importance of quantifying risks to prioritize, aggregate, and assess their overall significance for a company. The text explores various probability distributions, including discrete, continuous, and parametric distributions, and their applications in risk modeling. It also discusses the challenges in risk quantification and provides a guideline for risk quantification, illustrated through a case study. The chapter emphasizes the use of Monte Carlo simulation for risk aggregation, explaining how it helps determine the overall scope of risk and the probability of a serious crisis. Additionally, it covers the components of a risk model and the potential risks associated with using models in risk management, offering strategies to mitigate these model risks. The text concludes with a summary of key points and exercises to reinforce understanding.