ARIMA and Facebook Prophet Model in Google Stock Price Prediction
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Keywords

ARIMA model
Facebook Prophet model
Stock price prediction
Financial market
Time series

DOI

10.26689/pbes.v5i5.4386

Abstract

We use the Autoregressive Integrated Moving Average (ARIMA) model and Facebook Prophet model to predict the closing stock price of Google during the COVID-19 pandemic as well as compare the accuracy of these two models’ predictions. We first examine the stationary of the dataset and use ARIMA(0,1,1) to make predictions about the stock price during the pandemic, then we train the Prophet model using the stock price before January 1, 2021, and predict the stock price after January 1, 2021, to present. We also make a comparison of the prediction graphs of the two models. The empirical results show that the ARIMA model has a better performance in predicting Google’s stock price during the pandemic.

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