As the volume and complexity of forecasting data increases and forecasting uncertainty becomes very high,which forecasting models would be preferable?

A) quantitative models
B) statistical models
C) qualitative models
D) structural equation models

When forecasting uncertainty is very high, qualitative models would be preferable. These models rely on expert opinion and subjective judgments rather than quantitative data and statistics. They are useful when there is limited historical data or when the data is unreliable, incomplete or insufficient to make accurate forecasts. Qualitative methods include techniques such as Delphi method, expert panels, scenario analysis, and market research.