Evaluating Forecast Model Performance with MAE

In the context of time-series analysis, a financial analyst evaluates a model to forecast future stock prices based on historical price data. The model's performance is assessed by calculating its Mean Absolute Error (MAE) and comparing it to other potential models used in forecasting. If the MAE of the analyzed model is lower than those of alternative models, it can be considered more accurate. Given this context, which of the following statements about the evaluation of the model is true?