# Forecast bias

A **forecast bias** occurs when there are consistent differences between actual outcomes and previously generated forecasts of those quantities; that is: forecasts may have a general tendency to be too high or too low. A normal property of a good forecast is that it is not biased.^{[1]}
As a quantitative measure , the "forecast bias" can be specified as a probabilistic or statistical property of the forecast error. A typical measure of bias of forecasting procedure is the arithmetic mean or expected value of the forecast errors, but other measures of bias are possible. For example, a median-unbiased forecast would be one where half of the forecasts are too low and half too high: see Bias of an estimator.

In contexts where forecasts are being produced on a repetitive basis, the performance of the forecasting system may be monitored using a tracking signal, which provides an automatically maintained summary of the forecasts produced up to any given time. This can be used to monitor for deteriorating performance of the system.

## See also

- Calculating demand forecast accuracy
- Consensus forecast
- Optimism bias
- Demand forecasting
- Exponential growth bias
- Forecast skill

## References

- ↑ APICS Dictionary 12th Edition, American Production and Inventory Control Society. Available for download at
*www.apics.org/Resources/APICSDictionary.htm*.

Original source: https://en.wikipedia.org/wiki/Forecast bias.
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