Don't use spectral indices to decide whether to add context to your forecasting model—they measure different things. Use the coverage deficit diagnostic instead to predict whether retrieval, foundation models, or longer windows will actually improve your specific forecasting task.
This paper challenges the assumption that spectral indices (which measure predictability from frequency patterns) can predict whether adding context—like longer lookback windows, retrieval systems, or pretrained models—will improve time-series forecasting.