Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

Mahmoud A. A. Elsayed, A. Soliman
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引用次数: 1

Abstract

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).
基于灰色模型的技术储备预测——GM(1,1):来自埃及非寿险保险市场的证据
灰色系统理论是一种用于预测具有已知和未知特征的数据的数学技术。我们的研究目的是预测到2029/2030年的未来技术准备金(未决理赔准备金、损失率波动准备金和未赚保费准备金)的数额。本研究使用埃及金融监管局(EFSA)在2005/2006年至2015/2016年期间获得的非寿险埃及保险市场数据,应用灰色模型GM(1,1)。根据后验误差率(PER)的值,我们发现未偿准备金和损失率波动准备金的预测量比未赚保费准备金的预测量显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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