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The aim of this paper is to use the nonparametric regression to predict the loss ratio of non-life insurance as a dependent variable, based on incurred claims and earned premiums as two explanatory variables. Secondary data adopted in this research consists of twelve year time series of incurred claims and earned premiums from 2007/2008 to 2018/2019. In this paper we used R Package to apply kernel smoothing and estimation of the smoothing parameter (bandwidth) using cross validation methods.doi:10.21608/cfdj.2020.129342 fatcat:dxrf2t3uabdlfaqt7huqnofjhq