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  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/47467
Title: Price volatility spillover of Indian onion markets: A comparative study
Other Titles: Not Available
Authors: Kanchan Sinha
Sanjeev Panwar
Wasi Alam
K N Singh
Bishal Gurung
Ranjit Kumar Paul
Anirban Mukherjee
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Indian Agricultural Statistics Research Institute
ICAR::Vivekananda Parvatiya Krishi Anusandhan Sansthan
Published/ Complete Date: 2018-01-01
Project Code: Not Available
Keywords: Dynamic conditional correlations
Market behavior
Price volatility spillover
VEC-MGARCH
Publisher: INDIAN COUNC AGRICULTURAL RES, ICAR BHAWAN PUSA, NEW DELHI, INDIA, 110 012
Citation: Kanchan Sinha, Sanjeev Panwar, Wasi Alam, K N Singh, Bishal Gurung, Ranjit Kumar Paul And Anirban Mukherjee (2018). Price volatility spillover of Indian onion markets: A comparative study, Indian Journal of Agricultural Sciences 88 (1), 114–20
Series/Report no.: Not Available;
Abstract/Description: To investigate the interdependence between Indian onion markets in terms of price volatility, the present study was conducted in four different vital onion markets in India, viz. Mumbai, Nashik, Delhi and Bengaluru. The long term monthly data, from March, 2003 to September, 2015 was collected from the website of agmarknet.nic.in. We have employed the VEC-MGARCH model to estimate mean and volatility spillover simultaneously among the different markets and also examined the nature of dynamic correlation using the DCC model. The presence of mean and volatility spillover was found between the markets. This type of significant interaction between the volatility of different markets is highly useful for cross market hedging and for sharing of common information by market participants. The empirical results also suggest for a very close observation on different market behavioral pattern since, “news” in one market may impact other market through the number of interdependencies.
Description: Not Available
ISSN: Not Available
Type(s) of content: Article
Sponsors: Not Available
Language: English
Name of Journal: Indian Journal of Agricultural Sciences
NAAS Rating: 6.25
6.21
Impact Factor: 0.25
Volume No.: 88(1)
Page Number: 114-120
Name of the Division/Regional Station: Forecasting & Agricultural Systems Modelling
Source, DOI or any other URL: http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/79636/33368
URI: http://krishi.icar.gov.in/jspui/handle/123456789/47467
Appears in Collections:AEdu-IASRI-Publication

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