Quantifying Portfolio Demutualization: A Benchmark-Relative Pooling--Profiling Scale

2026-09-19

AI Summary

本文提出了一种基于基准的池化-分层尺度，用于量化保险定价中的组合非互惠化问题，并通过合成和汽车保险应用验证了其有效性。

Abstract

Insurance pricing combines pooling with differentiation: a tariff may leave benchmark differences in expected loss partly mutualized or translate them into policy-level premium differences. We propose a benchmark-relative pooling--profiling scale with two complementary coordinates. The coupled $L^p$ coordinate measures policy-level alignment between an evaluated tariff and a stated benchmark pure premium, whereas the marginal Wasserstein coordinate compares their exposure-weighted premium distributions. The difference between their residual $p$-costs defines an allocation mismatch. Under portfolio balance, the coupled $L^1$ coordinate has an exact actuarial interpretation: it is the fraction of the transfer volume induced by full pooling that the tariff removes. Synthetic and motor-insurance applications show that broad classes, proxies, shrinkage and tail caps can affect marginal differentiation, policy-level allocation and transfers differently. A barycentric group-parity intervention further shows that conditional premium disparities can fall mainly through reallocation and restored benchmark-relative transfers, with little change in marginal differentiation.

Problem

• portfolio demutualization
• benchmark-relative pooling--profiling scale
• insurance pricing

Innovation

• Benchmark-relative pooling-profiling scale
• Coupled $L^p$ coordinate
• Marginal Wasserstein coordinate
• Allocation mismatch