The paper introduces a new robust estimation technique, the Method of Truncated Moments (MTuM), tailored for estimating the tail index of a Pareto distribution from grouped data. It addresses limitations in existing methods for grouped loss severity data, providing inferential justification through the central limit theorem and simulation studies.
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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