Predicting Revenues and Expenditures Using Artificial Neural Network and Autoregressive Integrated Moving Average

摘要

The Saudi government has now set up several strategic strategies to predict the country's future, such as Saudi Vision 2030. Mathematical model and forecasting methods are significant instruments to achieve superior development in the country's economy. In this research, the Kingdom of Saudi Arabia's revenues and expenditures are predicted using models of the Artificial Neural Network (ANN) and Autoregressive Integrated Moving Average (ARIMA). This article uses statistical software to forecast a time series data using ANN and ARIMA models on Kingdom of Saudi Arabia's total revenues and expenses from 1969 to 2018. The models ANN and ARIMA (1, 0, 0), ARIMA (0, 1, 1) and ARIMA (1,1,2) are found to be suitable for predicting the full revenue and expenditure of the Kingdom of Saudi Arabia.