Abstract: The main goal of this research is to assist investors and financial decision-makers in making well-informed decisions by employing time series analysis to estimate future gold prices. In India, gold has great cultural and economic significance and is seen as a safe haven investment, particularly in times of market volatility. Planning investments and controlling financial risks require accurate gold price forecasting because of its sensitivity to variables like inflation, exchange rate swings, and global economic trends. The study uses EViews software and the well-known forecasting tool ARIMA (Autoregressive Integrated Moving Average) model to accomplish this. In order to understand trends, volatility, and patterns in the time series, historical gold price data is analyzed. The ARIMA model is used to accurately forecast future movements in the price of gold by leveraging an established, successful forecasting technology compared to developing a brand-new one. The results generated through this approach provide actionable insights for investors, policymakers, and financial analysts. The initiative helps with strategic financial planning and encourages wise investment choices by showing the direction of gold prices in the future. This study shows how useful time series forecasting is in assessing the behavior of commodity prices, especially for a widely held asset like gold.

Keywords: Forecasting, Time series analysis, ARIMA model, EViews, Historical data.

| DOI: 10.17148/IARJSET.2025.12499