Researchers developed an investment model called the Signature-Informed Transformer, or SIT. Their central argument is simple. A model trained to reduce forecasting errors may still build a weak portfolio because forecasting and allocating capital are different jobs. The post Why more accurate AI forecasts don’t always make better investment decisions appeared first on Market Business News .