"... model uncertainty is a vital component of the current challenges in risk measurement, and therefore the regulator should design risk measures encouraging well-understood prudent decisions over (less understood) risky ones. From this perspective robust regulation should be a desirable goal. To achieve such an objective, simple – but not simpler – rules are needed."
This study analyzes insurance claim processing delays due to limited capacity and backlogs. It proposes optimal capacity selection to...
The lack of risk transfer stems from structural forces that deter innovation in insurance policies, leading to inefficient risk...
The paper explores Pareto optimality in decentralized peer-to-peer risk-sharing markets using robust distortion risk measures. It...
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