The Application of ARIMA Box-Jenkins Method for Forecasting the Weekly Stock Price of PT. Telkom Indonesia Tbk

Angelique Melinda Rohsinarni Sumbayak

Abstract


The stock is one of the most popular financial market instruments. Conversely, because stocks offer an enticing level of profit, many investors prefer them as an investment. Nonetheless, stocks are a well-liked investment choice among investors due to their potential for earning huge profits. In this work, we will forecast the weekly stock prices of PT. Telkom Indonesia Tbk (TLKM.JK) for 5 weeks from March 4, 2024 to April 1, 2024. The Autoregressive Integrated Moving Average (ARIMA) method is a valuable tool for investors to utilize when forecasting the stock and making purchase choices. We use the historical weekly stock price data for PT. Telkom Indonesia Tbk (TLKM.JK) from February 27, 2023 to February 26, 2024 was collected from Yahoo Finance website to create a forecast. In this study, there’s 4 different ARIMA models, the analysis show that the ARIMA (1,2,1) is the best model

Keywords


ARIMA; time series;forecasting; stock; PT. Telkom Indonesia Tbk

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References


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