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https://ycjournal.net/Multilogicinscience/ArticleDetails.aspx?ref=NQA4ADgAMwA=
ISSN: 2277 - 7601
Publisher: author
https://ycjournal.net/Multilogicinscience/ArticleDetails.aspx?ref=NQA4ADgAMwA=
Indexed in
Agriculture and Food Sciences
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-0202
Publisher: Kiran Abasaheb More
International Journal Address (IAA):
IAA.ZONE/2277387817601
eISSN
:
2277 - 7601
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Abstract
This paper was focused on the modeling and forecasting of the price volatility of onion in India. The research was based on secondary datafocusing on monthly wholesale price indices from January 2005 to June 2020. The Generalized Autoregressive Conditional Heteroscedastic(GARCH) technique was used for the best model determination. The Lagrange multiplier test had been applied to detect the presence of theAutoregressive Conditional Heteroscedastic (ARCH ) effect. The GARCH (1, 1) was found to be the best-fitted model for forecastingvolatility. The volatility of onion prices a +
