An adaptive premium policy with a Bayesian motivation in the classical risk model

► We extend the classical risk model with an adaptive premium rate policy. ► Premium is reviewed each time the surplus drops below previously reached minimum. ► A choice between m rates is made depending on the time elapsed since the last drop. ► We provide an exact expression for the probability of ruin of this model. ► Numerical examples are used to compare this strategy with the constant rate approach.