Risks of extreme and rare events in Asset Management

This paper proposes a high level Risk-Informed Decision-Making framework in Asset Management that integrates risks extreme and rare events as part of an overall risk assessment and management activity. The research focuses on the methodology aimed at identifying, assessing and managing those risks in Asset Management. We believe that this approach may support organizations in becoming companies more resilient and robust in a changing and complex environment. We expose two case studies that demonstrate the applicability of the proposed model.