Price Prediction of TSLA, BYD and NIO Based on ARIMA Model
DOI:
https://doi.org/10.54097/hbem.v7i.6826Keywords:
Time Series Analysis, Stock Price Prediction, New Energy Vehicles.Abstract
New energy vehicles are the development direction of the future automobile industry, and various countries are actively deploying new energy vehicle enterprises. Predicting the stock prices of the top three new energy vehicle companies in the market has the high reference value for stock investors. On this basis, this paper uses the ARIMA model to forecast stock prices for the next four trading days of the top three companies, i.e., TSLA, BYD and NIO. The stock prices of the three companies in the first three quarters of 2022 will be used to build suitable models. According to the analysis, the ARIMA model succeeded in predicting stock prices with high accuracy in the short term, but the accuracy decreases over time. In this case, the stock price prediction results of the ARIMA model can provide a reference for stock investors in the short term, but cannot predict the future trend of stocks price. Overall, these results shed light on guiding further exploration of stock price forecasting based on ARIMA model.
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