The study shows that gold remains a moderately volatile yet steadily appreciating asset, delivering an 85% historical return over the sample period.

Among the forecasting methods, Linear Regression and ETS outperformed ARIMA, KNN, and SVM

Machine learning models failed to outperform traditional statistical approaches, reinforcing the value of interpretability and stability in volatile markets.

Want more research breakdowns like this? Subscribe for weekly insights.