Chinese GDP Forecast Using ARIMA Model

China's economy is very interesting to analyze because it is recognized as the highest GDP in  the world. Despite the ability of China's economy to reform and grow, China shows fluctuation  in its economy especially after the crisis in 1997 and 2008. When China was able to counter  the 2008 financial crisis, unfortunately starting from 2010 the GDP growth started to decrease  again. Therefore, the objective of this research is to analyze the GDP of China in two  consecutive years of 2016 and 2017 using the ARIMA. The journal that will be used uses a  time series. time series is commonly used for series of data obtained chronologically. The  future value of a time series can most likely be predicted through its current and past values.  This research uses EViews software. Eviews software can be called a combination of software  specifically made to process data on time series. This research also uses the Model  Autoregressive Integrated Moving Average (ARIMA) method, a time series estimation  method, which can be used with EViews software. Based on the EViews software, the  forecasting process with the ARIMA model is illustrated in this work, namely, China's Gross  Domestic Product (GDP) estimated from 2016 to 2018.