用ARIMA模型预测特斯拉的股价

Qiangwei Weng, Ruohan Liu, Zheng Tao
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引用次数: 2

摘要

股票市场是一个重要的经济信息中心。股票价格预测所产生的经济效益已引起人们的广泛关注。虽然股票市场无法准确预测,但股票市场对股价走势的预测有助于把握股票市场的运行规律及其对经济的影响机制。自回归综合移动平均(ARIMA)模型是目前公认和应用最广泛的时间序列预测模型之一。因此,本文首先比较了苹果和特斯拉的投资回报率(ROI),发现特斯拉的投资回报率远大于苹果,随后重点研究了ARIMA模型对现有时间序列数据的预测,得出ARIMA模型在预测特斯拉股价走势变化方面优于Naïve方法的结论。
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Forecasting Tesla’s Stock Price Using the ARIMA Model
The stock market is an important economic information center. The economic benefits generated by stock price prediction have attracted much attention. Although the stock market cannot be predicted accurately, the stock market’s prediction of the trend of stock prices helps in grasping the operation law of the stock market and the influence mechanism on the economy. The autoregressive integrated moving average (ARIMA) model is one of the most widely accepted and used time series forecasting models. Therefore, this paper first compares the return on investment (ROI) of Apple and Tesla, revealing that the ROI of Tesla is much greater than that of Apple, and subsequently focuses on ARIMA model’s prediction on the available time series data, thus concluding that the ARIMA model is better than the Naïve method in predicting the change in Tesla’s stock price trend.
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