Time$-$series forecasting models:

a$.$ are based solely on historical observations of the values of the variable being forecasted

b$.$ are useful whenever changes occur rapidly and wildly

c$.$ are more effective in making long$-$run forecasts than short$-$run forecasts

d$.$ attempt to explain the underlying causal relationships which produce the observed outcome