<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wing Yan Lee</style></author><author><style face="normal" font="default" size="100%">Fangda Liu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analysis of a dynamic premium strategy: from theoretical and marketingperspectives.</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Industrial and Management Optimization</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.aimsciences.org/article/doi/10.3934/jimo.2018020</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">14</style></volume><pages><style face="normal" font="default" size="100%">1545-1577</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Premium rate for an insurance policy is often reviewed and updated periodically according to past claim experience in real-life. In this paper, a dynamic premium strategy that depends on the past claim experience is proposed under the discrete-time risk model. The Gerber-Shiu function is analyzed under this model. The marketing implications of the dynamic premium strategy will also be discussed.</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record></records></xml>