Box-Jenkins models describe the future time series value by using a seasonal moving-average term when the SPAC dies down fairly quickly (at lags 12 and 24)and the SPC has a spike at lag 12 and cuts off after lag 12.

Question

Quizplus · Accepted Answer

The description provided in the statement is consistent with the characteristics of a Box-Jenkins model with a seasonal moving-average term. The seasonal term captures the periodic fluctuations in the data, such as the spike at lag 12 and the cut-off after lag 12 for the SPC. Additionally, the SPAC dying down fairly quickly at lags 12 and 24 suggests that an autoregressive term may not be required in the model.

Box-Jenkins Models Describe the Future Time Series Value by Using