The paper proposes a novel approach using Monte Carlo Simulation to quantitatively prioritize project risks based on their impact on project duration and cost, addressing limitations of traditional risk matrices and enabling project managers to differentiate critical risks according to their specific impact on time or cost objectives.
This paper explores optimal insurance contracting for a decision maker facing ambiguous loss distributions. Using a p-Wasserstein ball...
This research examines how ESG performance impacts default probability (PD) in life and non-life insurance firms. Findings show that...
The study assesses the impact of Europe's Single Supervisory Mechanism on banks' balance sheets, finding that centrally supervised banks...
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