The main purpose of this paper is to assess and demonstrate the advantage of claims
reserving models based on individual data in forecasting future liabilities over traditional
models on aggregate data both theoretically and numerically. The available information
consists of the reporting delays, settlement delays and claim payments. The model settings
include Poisson distributed frequency of claims produced by each policy, claims payable at
the settlement time, and the amount of payment depending only on its settlement delay …