Out-of-sample prediction for the final portion of a sample is a popular tool for model selection in model-based forecasting. We suggest to add a simulation step to this exercise. where pseudo-samples are generated (parametrically bootstrapped). conditional on the observed data and on any of the candidate models. https://www.ealisboa.com/top-offer-Telemarkskongen-SH-best-find/