But, incorporating the spike residual PCG model, which predicts the leftover price value from the first model, provides significant improvements over the model without spike correction as seen in the last column on Table 3.
we are able to achieve significant gains with an unsupervised approach without any domain specific feature engineering by estimating using an ARIMA model (p, d, q) = (30, 1, 10).