Abstract: A method for simulating commodity prices comprising the steps of receiving an input comprising a primary time series, computing a related time series from the primary series, identifying a cyclical variation series comprising a plurality of cycles for the related time series, identifying at least one dominant cyclical variation component series from the cyclical variation series, computing a plurality of contribution time series each comprising a plurality of contributions from each of at least one dominant cyclical variation component series to the cyclical variation series, regressing each of the contribution time series to compute a residual time series and a regression function, computing a future value fit time series from each of the regression functions, computing a future value residual time series from each of the residual time series, constructing a simulated contribution time series comprising a plurality of simulated contributions from each of the future value fit time series and the future value