Indian Journal of Agricultural Marketing
  • Year: 2019
  • Volume: 33
  • Issue: 3s

Lasalgaon onion market price forecasting-An application of arima model

  • Author:
  • M. Areef, S. Rajeswari1, N. Vani1, G. Mohan Naidu2
  • Total Page Count: 9
  • Page Number: 122 to 130

1Dept. of Agricultural Economics, S.V. Agricultural College, Tirupati

2Dept.of of Statistics and Mathematics, S.V. Agricultural College, Tirupati

Dept. of Agricultural Economics, Agricultural College, Bapatla

Online published on 6 February, 2020.

Abstract

The present study used autoregressive integrated moving average (ARIMA) method to estimate the Lasalgaon onion market future prices using time series data from 2003 to 2017. The adequacy of the model was judged by maximum R-Square (75.0), minimum MAPE (30.93), minimum RMSE (440.93) and minimum MAE (269.57). The results showed that the model (0, 1, 1) (2, 1, 1) was found to be the best to forecast onion prices in Lasalgaon market. The forecasted prices of onion would be ranging from Rs. 2879 to Rs. 2748 per quintal for the months from January 2018 to June 2018. Onion future price estimation useful to the farmers for total area allocation under onion crop and to find good markets to sell their produce at remunerative prices.

Keywords

Price Forecasting, ACF, PACF, MAPE and MSE