Daily Stock Price Forecasting of PT Astra Agro Lestari (AALI) Using Arima and Arch-Garch Models
DOI:
https://doi.org/10.51601/ijse.v6i1.423Abstract
The capital market serves as a vital investment channel where stock prices exhibit dynamic fluctuations influenced by macroeconomic factors and market sentiments. This study estimates daily stock prices of PT Astra Agro Lestari Tbk (AALI), a leading palm oil company, using hybrid ARIMA-ARCH-GARCH models. Employing quantitative time series analysis, the population comprises all daily AALI stock prices from January 1, 2021, to June 30, 2025 (1,145 observations), sampled purposively via Investing.com data. Analysis techniques include ADF stationarity tests, ACF-PACF correlograms, AIC/SC/HQ model selection, ARCH-LM heteroskedasticity tests, and forecasting accuracy evaluation. Results identify ARIMA(1,1,1) as optimal for mean modeling and GARCH(2,1) for volatility, achieving 53% average forecasting accuracy for July 31-August 5, 2025. The hybrid model effectively captures price patterns despite external influences.
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[1] Astra, PT, & Lestari, A. (2021). ARMA–GARCH model predicts value-at-risk on shares of PT Astra Agro Lestari Tbk. Journal of Finance and Banking, 2, 116–121.
[2] Briliantya, SN (2022). EGARCH and TGARCH models to measure asymmetric volatility of stock returns. Journal of Statistics and its Applications, 6(1), 45–53.
[3] Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage Publications.
[4] Emzir. (2021). Quantitative and qualitative research methodology. Rajawali Pers.
[5] Junaid, MT, Juliana, A., & Sabrina, H. (2020). A comparative study of ARIMA and GARCH models for predicting stock prices in mining companies in Indonesia. Journal of Finance and Banking Sciences (JIKA), 10(1), 83–98.https://doi.org/10.34010/jika.v10i1.3331
[6] Mathematics, JI, & Mathematics, P. (2023). Stock price forecasting model using the ARIMA–GARCH method (Case study of PT Unilever Indonesia shares). Scientific Journal of Mathematics, 15(1), 1–12.
[7] Sudaryono. (2022). Quantitative, qualitative, and mixed method research methodology. Rajawali Pers.
[8] Sugiyono. (2023). Quantitative, qualitative, and R&D research methods. Alfabeta.
[9] Sari, AQ, Sukestiyarno, YL, & Agoestanto, A. (2017). Analysis of ARIMA and GARCH models in time series data forecasting. Unnes Journal of Mathematics, 6(2), 168–177.
[10] Zili, AHA, Hendri, D., & Kharis, SAA (2022). Stock price forecasting using the hybrid ARIMA–GARCH model and the walk-forward method. Journal of Statistics and Its Applications, 6(2), 341–354.https://doi.org/10.21009/jsa.06218.
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Copyright (c) 2026 Azizah Rizki Amelia, Siti Nurhaliza, Zhakira Cantika Dewi, Agus Rifai
This work is licensed under a Creative Commons Attribution 4.0 International License.
