PRICE FORECASTING OF POTATO THROUGH SEASONAL ADJUSTED ARIMA

KUMAR, ROHIT; SINGH, H.P.

PRICE FORECASTING OF POTATO THROUGH SEASONAL ADJUSTED ARIMA

ROHIT KUMAR¹*, H.P. SINGH²
¹Department of Agricultural Economics, Institute of Agricultural Science, Banaras Hindu University, Varanasi, 221005, India
²Department of Agricultural Economics, Institute of Agricultural Science, Banaras Hindu University, Varanasi, 221005, India
* Corresponding Author : rohitjnvproduct@gmail.com

Received : 10-11-2018 Accepted : 27-11-2018 Published : 30-11-2018
Volume : 10 Issue : 22 Pages : 7508 - 7510
Int J Agr Sci 10.22 (2018):7508-7510

Keywords : Price forecasting, Seasonal adjusted ARIMA
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agricultural Economics, Institute of Agricultural Science, Banaras Hindu University, Varanasi, 221005, India and Raka Saxena (ICAR-NIAP, New Delhi), Ranjit K. Paul (IASRI, New Delhi)
Author Contribution : All authors equally contributed

Cite - MLA : KUMAR, ROHIT and SINGH, H.P. "PRICE FORECASTING OF POTATO THROUGH SEASONAL ADJUSTED ARIMA." International Journal of Agriculture Sciences 10.22 (2018):7508-7510.

Cite - APA : KUMAR, ROHIT, SINGH, H.P. (2018). PRICE FORECASTING OF POTATO THROUGH SEASONAL ADJUSTED ARIMA. International Journal of Agriculture Sciences, 10 (22), 7508-7510.

Cite - Chicago : KUMAR, ROHIT and H.P., SINGH. "PRICE FORECASTING OF POTATO THROUGH SEASONAL ADJUSTED ARIMA." International Journal of Agriculture Sciences 10, no. 22 (2018):7508-7510.

Copyright : © 2018, ROHIT KUMAR and H.P. SINGH, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Fluctuations in prices of different agricultural commodities are a matter of concern among farmers, policy makers and stakeholders. As the potato is an extremely sensitive crop in terms of the impact of all external influences to the prices, it is imperative to study the price forecasting of potato by employing sound statistical modelling techniques that, in turn, will be beneficial to the farmers and planners in formulating suitable policies to face the challenges ahead. Seasonal adjusted ARIMA can capture the seasonal price volatility of potato.

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