Forecasting Indonesian Stock Index Using ARMA-GARCH Model

Susanti, Dwi
Labitta, Kirana Fara
Sukono, Sukono

Operations Research: International Conference Series
Vol. 5 No. 3 (2024): Operations Research International Conference Series (ORICS), September 2024

The stock market is an institution that provides a facility for buying and selling stocks. Covid-19 is an issue that has affected the stock markets of many countries, including Indonesia. Due to the pandemic, the condition of stocks before and during Covid-19 is certainly different. Stocks can be measured using stock indices. To predict future stock conditions, it is necessary to forecast the stock index. Therefore, this research aims to forecast the Indonesian stock index before and during Covid-19 using the ARMA-GARCH time series model. The results show that the best forecasting model for before Covid-19 data is ARMA(0,2)-GARCH(1,0), and for the data during Covid-19, it is ARMA(3,3)-GARCH(3,3). These findings can help investors make better investment decisions in the future.