What type of forecast is suitable for a stable industry and market that isn't influenced by seasonality?

In a stable industry and market that does not experience seasonality, a rollover forecast is particularly suitable. This type of forecast uses historical data to project future performance based on past trends and stable market conditions. The premise behind this forecast is that, in environments where market dynamics are steady and predictable, past performance can serve as a reliable indicator of future outcomes.

Other forecasting methods, such as trend forecasts and regression forecasts, may be more complex and involve assessing patterns or relationships among variables. However, in a stable environment with little fluctuation, these sophisticated approaches may not yield significantly better results than a straightforward rollover forecast. A seasonal forecast is not applicable in this scenario, as it specifically focuses on predicting variations due to seasonal influences, which do not exist in a stable market. Thus, the rollover forecast aligns perfectly with the characteristics of a stable industry or market.