基于决策树回归的新冠肺炎时期印尼股价预测

K. M. Hindrayani, Tresna Maulana Fahrudin, R. Prismahardi Aji, E. M. Safitri
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引用次数: 6

摘要

预测股票价格是数据挖掘中一个有趣的领域。影响股票价格的变量很多。特别是在对经济产生影响的新冠疫情时代,股价变得难以预测。电信公司在这项研究中被观察到,因为它是在这种大流行的情况下仍然非常需要的行业之一。基础数据将用于预测印尼电信股价。回归技术将被用作提议的模型。相关系数表明,即使在新冠肺炎时代,基本面数据仍然对股市价格发挥作用。与其他方法相比,决策树回归产生了具有竞争力的结果。
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Indonesian Stock Price Prediction including Covid19 Era Using Decision Tree Regression
Predicting stock prices is an interesting field in Data Mining. There are many variables affecting stock prices. Especially in this covid19 era which impacts in economy, the stock prices become unpredictable. Telecommunications companies are observed in this research as it is one of the sectors that's still very much in demand in this pandemic situation. Fundamental data will be used to predict the Indonesian telecommunications stock price. Regression techniques will be used as the proposed model. The correlation coefficient shows that despite the covid19 era, fundamental data still play a role in stock market price. Decision Tree Regression produced competitive results compared to other methods.
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