Forecasting Daily Gold Price Using ARIMA Box-Jenkins Method

Fernando William Alexander

Abstract


In this research, the ARIMA time series model is utilized to make predictions of gold prices from March 1, 2025, to May 12, 2025. The prediction of the movement of the price of gold from May 13 to May 17, 2025, is intended. A number of ARIMA settings were tested manually whereby the order of differencing was. designed to be two to deal with non-stationarity. Using AIC and BIC as criteria, the best models were the ARIMA (4,2,0) and ARIMA (4,2,1). These models produced short-term forecasts. The approach seeks transparency in model selection as well as interpretability in order to facilitate informed forecasting.

Keywords


Gold Price; Forecasting, Time Series; ARIMA; Model Selection

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References


W. W. S. Wei, Time Series Analysis Univariate and Multivariate Methods. in 2nd Edition. Greg Tobin. [Online]. Available: https://civil.colorado.edu/~balajir/CVEN6833/lectures/wwts-book.pdf

jeff Schmidt, “Forecasting,” Corporate Finance Institute. Accessed: May 04, 2025. [Online]. Available: https://corporatefinanceinstitute.com/resources/valuation/forecasting/

R. J. Hyndman and G. Athanasopoulus, Forecasting: Principles and Practice (3rd ed).

Accessed: May 04, 2025. [Online]. Available: https://otexts.com/fpp3/

W. Hariadi and Sulantari, “Application of ARIMA Model for Forecasting

Additional Positive Cases of Covid-19 in Jember Regency,” vol. 1, no. 1, Apr. 2021.

I. Svetunkov, Chapter 8 Introduction to ARIMA | Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM). Accessed: May 05, 2025. [Online]. Available: https://openforecast.org/adam/ARIMA.html

A. I. S. Wardhani and M. R. Yudhanegara, “Forecasting Weekly Stock Price of PT. Aneka Tambang Tbk (ANTM) Using ARIMA Box-Jenkins Method,” JAFRM, vol. 3, no. 2, Jan. 2025.

“Box-Jenkins Methodology for ARIMA Models,” GeeksforGeeks. Accessed: May 05, 2025. [Online]. Available: https://www.geeksforgeeks.org/box-jenkins-methodology-for- arima-models/

J. Saputra, “Forecasting Stock Price of PT. GoTo Gojek Tokopedia Tbk (GOTO.JK) using ARIMA Box-Jenkins Method,” Indones. J. Appl. Math. Stat., vol. 1, no. 2, Art. no. 2, Dec. 2024, doi: 10.71385/idjams.v1i2.14.

J. D. Cryer and K.-S. Chan, “Time-Series-Analysis/time-series-analysis-with- applications-in-r-cryer-and-chan.pdf at master · svbergmann/Time-Series-Analysis,” GitHub. Accessed: May 05, 2025. [Online]. Available: https://github.com/svbergmann/Time-Series-

Analysis/blob/master/time-series-analysis-with-applications-in-r-cryer-and-chan.pdf

C. D. (Colin D. Lewis, Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting. London ; Boston : Butterworth Scientific, 1982. Accessed: May 05, 2025. [Online]. Available: http://archive.org/details/industrialbusine0000l


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