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Siringoringo, Yan Batara Putra
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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

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INVESTMENT GOLD DURING THE COVID-19 PANDEMIC WITH LINEAR REGRESSION, NONLINEAR REGRESSION AND ARIMA Tarigan, Enita Dewi; Yanti, Maulida; Hasibuan, Citra Dewi; Siringoringo, Yan Batara Putra; Erwin, Erwin
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.6832

Abstract

As a result of the COVID-19 pandemic, many individuals have turned to low-risk investment options. Common choices include gold, stocks, deposits, and foreign currencies, with gold emerging as a particularly popular investment. This study aims to forecast gold prices using linear regression, nonlinear regression, and ARIMA models, with the most accurate model determined by the lowest Mean Absolute Percentage Error (MAPE). Gold price data was sourced from www.kitco.com. The MAPE for the Linear Regression model was 4.362, the Nonlinear Regression model 3.3428, and the Time Series (ARIMA) model 2.727. Consequently, the ARIMA model demonstrated superior accuracy in forecasting gold prices compared to the Linear and Nonlinear Regression models.
Co-Authors Asima Manurung Br Tarigan, Enita Dewi Butar-butar, Juli Loisiana Erwin Erwin Hasibuan, Citra Dewi Husniyah, Nailuh Marpaung, J.L. Nababan, Esther Sorta Mauli Simanjuntak, Jelita Octavia Sitepu, Suryati Sujatmoko, Koko Tarigan, Enita Dewi Tarigan, Enita Dewi br. Thoriq , Ahmad Tiovanny, Angel Waruwu, Cindy Berlianti Yanti, Maulida