Munich Personal RePEc Archive

Modeling and forecasting inflation in Philippines using ARIMA models

NYONI, THABANI (2019): Modeling and forecasting inflation in Philippines using ARIMA models.

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This research uses annual time series data on inflation rates in the Philippines from 1960 to 2017, to model and forecast inflation using ARIMA models. Diagnostic tests indicate that P is I(1). The study presents the ARIMA (1, 1, 3). The diagnostic tests further imply that the presented optimal ARIMA (1, 1, 3) model is stable and acceptable for predicting inflation in the Philippines. The results of the study apparently show that P will fall down from 5.6% in 2018 to approximately 0.3% in 2027. The Bangko Sentral ng Pilipinas is expected to continue implementing it inflation targeting policy framework since it proves to work well for the economy.

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