A Forecast Analysis of the Gold Stock Price Using ARIMA Model

This paper proposes a time series method using the ARIMA model to forecast gold-stock prices. It involves data preprocessing, model building, tuning, prediction, and result analysis to guide investment decisions. The ARIMA model, with its selection and validation processes, demonstrates strong performance in predicting gold prices over four months. Comprehensive analysis considers macroeconomic, geopolitical, and market fundamentals influencing gold prices. The research emphasizes the significance of understanding and modeling gold's behavior for preserving wealth in a volatile financial landscape.