Author(s): M Naresh, P Sriyshnavi and Aashis Kumar
Abstract: It aims to forecast the
price of gold using time series analysis techniques. The main objective of this
study is to predict the future prices of gold so that investors can make
informed decisions about buying and selling gold. Inventory forecasting plays a
crucial role in the financial success of a business, and forecasting the prices
of gold can be particularly challenging due to its volatility and dependence on
a variety of economic and geopolitical factors. We have utilized various time
series models such as Exponential smoothing and Auto Regressive Integrated
Moving Average (ARIMA) to analyse historical gold price data and generate
forecasts. We have also conducted an exploratory data analysis (EDA) to
identify any trends or patterns in the data and to assess the stationarity of
the time series. Overall, the study demonstrates the usefulness of time series
analysis techniques in predicting the price of gold and can be a valuable
resource for investors and financial analysts.
M Naresh, P Sriyshnavi, Aashis Kumar. Prediction and analysis of gold prices. Int J Stat Appl Math 2025;10(2):95-99. DOI: 10.22271/maths.2025.v10.i2b.1982
