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
The study aims to explore the feasibility of adopting for inflation forecasting a sophisticated expe...
This research uses annual time series data on CPI in Japan from 1960 to 2017, to model and forecast ...
This book chapter compares the out-of-sample forecast for inflation rates in Nigeria using ARIMAX an...
This research uses annual time series data on inflation rates in the Philippines from 1960 to 2017, ...
The ARIMA model fit for forecasting was the subject of the study on forecasting the Philippine excha...
This research uses annual time series data on inflation rates in Morocco from 1960 to 2017, to model...
This research uses annual time series data on inflation rates in Lesotho from 1974 to 2017, to model...
This research uses annual time series data on inflation rates in Tanzania from 1966 to 2017, to mode...
This research uses annual time series data on CPI in Australia from 1960 to 2017, to model and forec...
Inflation are related to changes in the price of an item that have the potential to change the marke...
This research uses annual time series data on inflation rates in the Kingdom of Bahrain from 1966 to...
This study uses annual time series data on CPI in Panama from 1960 to 2017, to model and forecast CP...
Inflation forecasting has been important task for monetary authorities, policy makers and government...
This research uses annual time series data on inflation rates in Thailand from 1960 to 2017, to mode...
This research uses annual time series data on inflation rates in Egypt from 1960 to 2017, to model a...
The study aims to explore the feasibility of adopting for inflation forecasting a sophisticated expe...
This research uses annual time series data on CPI in Japan from 1960 to 2017, to model and forecast ...
This book chapter compares the out-of-sample forecast for inflation rates in Nigeria using ARIMAX an...
This research uses annual time series data on inflation rates in the Philippines from 1960 to 2017, ...
The ARIMA model fit for forecasting was the subject of the study on forecasting the Philippine excha...
This research uses annual time series data on inflation rates in Morocco from 1960 to 2017, to model...
This research uses annual time series data on inflation rates in Lesotho from 1974 to 2017, to model...
This research uses annual time series data on inflation rates in Tanzania from 1966 to 2017, to mode...
This research uses annual time series data on CPI in Australia from 1960 to 2017, to model and forec...
Inflation are related to changes in the price of an item that have the potential to change the marke...
This research uses annual time series data on inflation rates in the Kingdom of Bahrain from 1966 to...
This study uses annual time series data on CPI in Panama from 1960 to 2017, to model and forecast CP...
Inflation forecasting has been important task for monetary authorities, policy makers and government...
This research uses annual time series data on inflation rates in Thailand from 1960 to 2017, to mode...
This research uses annual time series data on inflation rates in Egypt from 1960 to 2017, to model a...
The study aims to explore the feasibility of adopting for inflation forecasting a sophisticated expe...
This research uses annual time series data on CPI in Japan from 1960 to 2017, to model and forecast ...
This book chapter compares the out-of-sample forecast for inflation rates in Nigeria using ARIMAX an...