This study provides semi-explicit formulas for inf-convolution and optimal allocations, considering homogeneous, conditional, and absolutely continuous beliefs. The research also explores inf-convolution between Lambda value at risk and other risk measures, discussing optimal allocations and alternative Lambda value at risk definitions.
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...
Comments