Forcasting Stock Price PT. Indonesian Telecomunication with ARCH-GARCH Model

Wahidah Alwi, Aprilia Pratiwi S, Ilham Syata
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Abstract

This research discusses the modeling of time series using R software, focusing on forecasting the stock price of PT. Indonesian telecommunications with ARCH-GARCH model. The data used daily closing data on stock prices from January 6, 2020, to January 6, 2021 was obtained from the website www.finance.yahoo.com. The goal is to find out the best model arch-garch on PT. Indonesian telecommunications to find out the results of stock price forecasting the next day using the ARCH-GARCH model. The best model was ARIMA (2,1,3). The results of the ARCH-LM test showed the data contained heteroskedasticity effects or ARCH elements. The research models proposed in this study are ARCH (1) and ARCH-GARCH (1,1). The smallest AIC and BIC values of these two models are ARCH-GARCH (1,1) which is the best model for forecasting the stock price of PT. Indonesian telecommunications for the next 10 days. The study attempts to conduct stock price forecasting with the ARCH-GARCH model. The result of the forecasting of the share price of PT. Indonesian telecommunications from January 07, 2021 to January 20, 2021 respectively except for holidays is IDR 3374.884, IDR 3379.617,IDR 3378.305, IDR 3376.610, IDR 3380.050, IDR 3376.372, IDR 3379.071, IDR 3377.964, IDR 3377.515, IDR 3379.002. Forecasting results are close to factual data for forecasting the next 10 days so that they can be taken into consideration in investing by investors.
用ARCH-GARCH模型预测印尼电信公司股价
本研究探讨了利用R软件对时间序列进行建模,重点研究了利用ARCH-GARCH模型对印尼PT电信公司的股价进行预测。数据采用的是2020年1月6日至2021年1月6日的每日收盘价数据,数据来自www.finance.yahoo.com网站。我们的目标是找出最好的模型arch-garch对PT. indonesia电信,找出第二天的股价预测结果使用arch-garch模型。最佳模型为ARIMA(2,1,3)。ARCH- lm检验结果表明,数据中含有异方差效应或ARCH元素。本研究提出的研究模型为ARCH(1)和ARCH- garch(1,1)。这两个模型的AIC和BIC值最小为ARCH-GARCH(1,1),是预测PT. indonesia telecom未来10天股价的最佳模型。本研究尝试用ARCH-GARCH模型进行股票价格预测。对PT. indonesia telecom 2021年1月07日至2021年1月20日(节假日除外)的股价预测结果分别为:IDR 3374.884、IDR 3379.617、IDR 3378.305、IDR 3376.610、IDR 3380.050、IDR 3376.372、IDR 3379.071、IDR 3377.964、IDR 3377.515、IDR 3379.002。预测结果接近预测未来10天的实际数据,以便投资者在投资时加以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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