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The Promise of Time-Series Foundation Models for Agricultural Forecasting: Evidence from Commodity Prices
Forecasting agricultural markets remains challenging due to nonlinear dynamics, structural breaks, and sparse data. A long-standing belief holds that simple time-series methods outperform more advanced alternatives. This paper provides the first systematic evidence that this belief no longer holds w
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