Price forecasting of mustard using ARIMA and EGARCH models


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Authors

  • Priyanka Solanki Institute of Agri Business Management, SKRAU, Bikaner 334006, Rajasthan, India Author
  • Rajesh Sharma College of Agriculture, SKRAU, Bikaner 334006, Rajasthan, India Author
  • Madhu Sharma Directorate of Planning, Monitoring and Evaluation, SKRAU, Bikaner 334006, Rajasthan, India Author

https://doi.org/10.56093/job.v8i2.

Keywords:

ARIMA, EGARCH, mustard, forecasting, price

Abstract

Autoregressive Integrated Moving Average (ARIMA) and Exponential GARCH (EGARCH) model was
studied along with their estimation procedures for modelling and forecasting of mustard price. For forecasting
mustard price ARIMA (0,1,1) model is used which gives reasonable and acceptable forecasts but the study
has revealed that the AR(1)-EGARCH(1,1) model outperformed the price forecasting models for mustard
prices primarily due to its ability to capture asymmetric volatility pattern.

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Submitted

2024-10-24

Published

2026-04-10

Issue

Vol. 8 No. 2 (2017)

Section

Articles

How to Cite

Price forecasting of mustard using ARIMA and EGARCH models (Priyanka Solanki, Rajesh Sharma, & Madhu Sharma, Trans.). (2026). Journal of Oilseed Brassica, 8(2), 181-186. https://doi.org/10.56093/job.v8i2.