Abstract:  This talk discusses a method for pricing insurance policies using market data. The approach is designed for scenarios in which the insurance company seeks to enter a new market lacking historical data. The methodology involves an iterative two-step process. First, a suitable parameter is proposed to characterize the underlying risk. Second, the resulting pure premium is linked to the observed commercial premium using an isotonic regression model. To validate the method, comprehensive testing is conducted on synthetic data, followed by its application to a dataset of actual pet insurance rates.