International Journal of Agriculture Extension and Social Development

author(s)
M Maheshnath, R Vijaya Kumari, K Suhasini, D Srinivasa Reddy and A Meena

abstract
This study employs the Autoregressive Integrated Moving Average (ARIMA) approach to model and predict maize prices in Telangana State. The Autocorrelation (AC) and Partial Autocorrelation (PAC) functions are calculated to identify and construct suitable ARIMA models for explaining the time series and forecasting future production. Evaluation of forecasting performance is conducted using Akaike's Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC). The best-fitting model is then utilized for out-of-sample forecasting up to December 2023.