Final answer:
A positive RSFE or MFE means that the forecasts are on average too low, indicating that actual values were higher than forecasted values.
Step-by-step explanation:
If the Running Sum of Forecast Errors (RSFE) or Mean Forecast Error (MFE) is positive, then on average the forecasts are too low.
RSFE and MFE are metrics used to monitor and measure the accuracy of forecasts in fields such as finance, supply chain management, and economics. A positive RSFE or MFE indicates that the actual values were consistently higher than the forecasted values. Conversely, if these metrics are negative, it would imply that the forecasts are too high, with actual values consistently lower than what was predicted.