Model: ARIMA(1,1,1)
Coefficients:
Autoregressive 1
Estimate: -0.7733
Standard Error: 0.1044
Moving Average 1
Estimate: 0.8285
Standard Error: 0.0915
Residual Variance: 0.1711
Model Fit Metrics:
BIC: 1017.09
AICc: 1002.6
Forecast Values (Percent):
2025
Sep: 4.30
Oct: 4.30
Nov: 4.30
Dec: 4.30
2026
Jan: 4.30
Feb: 4.30
Mar: 4.30
Apr: 4.30
May: 4.30
Jun: 4.30
Jul: 4.30
Aug: 4.30
Sep: 4.30
Oct: 4.30
Nov: 4.30
Dec: 4.30
2027
Jan: 4.30
Feb: 4.30
Mar: 4.30
Apr: 4.30
May: 4.30
Jun: 4.30
Jul: 4.30
Aug: 4.30
Sep: 4.30
Oct: 4.30
Nov: 4.30
Dec: 4.30
Model: ETS(A,N,N)
Coefficients:
Alpha (level): 0.9998999
Level (l₀): 3.400013
Residual Variance: 0.1722
Model Fit Metrics:
BIC: 4751.687
AICc: 4737.201
Forecast Values (Percent):
2025
Sep: 4.30
Oct: 4.30
Nov: 4.30
Dec: 4.30
2026
Jan: 4.30
Feb: 4.30
Mar: 4.30
Apr: 4.30
May: 4.30
Jun: 4.30
Jul: 4.30
Aug: 4.30
Sep: 4.30
Oct: 4.30
Nov: 4.30
Dec: 4.30
2027
Jan: 4.30
Feb: 4.30
Mar: 4.30
Apr: 4.30
May: 4.30
Jun: 4.30
Jul: 4.30
Aug: 4.30
Sep: 4.30
Oct: 4.30
Nov: 4.30
Dec: 4.30