Quantile regression estimation for discretely observed SDE models with compound Poisson jumps

► We consider the quantile regression within the framework of jump diffusion models. ► A quantile regression estimator of the diffusion parameter is proposed. ► This estimator does not require any information about the drift or jump dynamics. ► Its consistency is verified. ► Simulation results illustrate its robustness to jumps.