期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：5
页码：5822-5834
DOI：10.9756/INTJECSE/V14I5.715
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Gold is recognized as a major commodity in the international economy, which is now a key indicator of economic activity. In order to preserve financial stability, a company engaged in international trade needs to be able to forecast the price of gold. It shows the overall financial health of the global economy. Future price predictions are based on forecasting. Our selection of gold prices in the Indian market from 1964 to 2022 (until we know) was based on secondary sources.In the current study, we used an Auto Regressive Integrated Moving Average (ARIMA) model to predict the price of gold in India. For predicting timeseries data, it is one of the most effective statistical techniques. By using the Autocorrelation function (ACF) and the Partial autocorrelation function (PACF) on the chosen differenced series, the proper ARIMA model is found, and the gold price forecast is then shown. The primary objective of the current study is to predict gold prices from 2023 to 2035.According to the study's conclusions, the most accurate models for predicting Indian gold prices are ARIMA (1,1,1), ARIMA (1,1,0), ARIMA (0,1,1), and ARIMA (9,1,1).This study is particularly pertinent for investors and economists to understand how the price of gold might help them for better investment decisions and reduce the uncertainty of the market.
