Four deep generative methods for time series are studied on commodity markets and compared with classical probabilistic models. The lack of data in the case hedgers is a common flaw, which seek to address. In specific commodities, it turns out that these generators can also be used refine price models by tackling high-dimensional challenges. this work, synthetic prices produced such then train ...