Forecasting the Weekly Stock Price of Grab Holdings Limited using ARIMA Box-Jenkins Method

Chindia Ayu Hendraningtyas, Edwin Setiawan Nugraha

Abstract


In the domain of financial markets, stocks are widely used, offering a viable avenue for companies seeking capital acquisition. Moreover, due to their potential to generate substantial returns, investors usually choose stocks as their preferred investment vehicle. Experts have compiled a series of theories and empirical studies aimed at predicting stock prices, with the main objective of enabling investors to make prudent and informed decisions in buying and selling endeavors, thereby reducing the associated risks. In this study, we will use the technical analysis of ARIMA (p,d,q) Box-Jenkins method to predict the weekly share price of Grab Holdings Limited (GRAB). For the purpose of this study, Yahoo Finance provided historical data of Grab Holdings Limited (GRAB) weekly share price from March 27, 2023 to March 25, 2024. Of the 16 ARIMA models generated from this study, the model with the smallest error estimator value is the best model. The results show that ARIMA (2,1,1) is the most effective and suitable model with the MAPE value 4,08% means that the the accuracy is 95,92% with the actual data

Keywords


Grab Holdings Limited, ARIMA, stock price; forecasting

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