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Statistical analysis of impact of COVID 19 on India commodity markets
How did a fitness crisis translate to a financial crisis? Why did coronavirus bring the worlds financial system to its knees? The solution is to be found in two approaches. Initially, this contagious virus resulted in a lockdown of the business world and economy. A ratio at which the virus has been...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418648/ https://www.ncbi.nlm.nih.gov/pubmed/32837924 http://dx.doi.org/10.1016/j.matpr.2020.07.729 |
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author | Shruthi, M.S. Ramani, D. |
author_facet | Shruthi, M.S. Ramani, D. |
author_sort | Shruthi, M.S. |
collection | PubMed |
description | How did a fitness crisis translate to a financial crisis? Why did coronavirus bring the worlds financial system to its knees? The solution is to be found in two approaches. Initially, this contagious virus resulted in a lockdown of the business world and economy. A ratio at which the virus has been proliferating, the increased uncertainty is exactly the reason for this bad situation which resulted as unsecured initialization investment between traders. We rely on the present environment in evaluating the constricting procedures, fiscal policies and public health actions that were implemented in that time. This study examines volatility transmission over the financial crisis. Recently established causality in impulse response functions and variance test to everyday data from January 2020 has been implied. To recognize the effect of the food cost crisis, statistics are separated into two intervals i.e. post-COVID period and the pre-COVID period. The variance causality test indicates that the risk transmission among agricultural commodity is zero, but oil market volatility spills on the markets for agricultural products excluding sugar in the post-crisis period. Thus, this paper signifies that the statistical volatility transmission differs post food price crisis. Following, risk transmission materializes as an additional element of the statistical interrelations among agricultural and energy markets. |
format | Online Article Text |
id | pubmed-7418648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74186482020-08-12 Statistical analysis of impact of COVID 19 on India commodity markets Shruthi, M.S. Ramani, D. Mater Today Proc Article How did a fitness crisis translate to a financial crisis? Why did coronavirus bring the worlds financial system to its knees? The solution is to be found in two approaches. Initially, this contagious virus resulted in a lockdown of the business world and economy. A ratio at which the virus has been proliferating, the increased uncertainty is exactly the reason for this bad situation which resulted as unsecured initialization investment between traders. We rely on the present environment in evaluating the constricting procedures, fiscal policies and public health actions that were implemented in that time. This study examines volatility transmission over the financial crisis. Recently established causality in impulse response functions and variance test to everyday data from January 2020 has been implied. To recognize the effect of the food cost crisis, statistics are separated into two intervals i.e. post-COVID period and the pre-COVID period. The variance causality test indicates that the risk transmission among agricultural commodity is zero, but oil market volatility spills on the markets for agricultural products excluding sugar in the post-crisis period. Thus, this paper signifies that the statistical volatility transmission differs post food price crisis. Following, risk transmission materializes as an additional element of the statistical interrelations among agricultural and energy markets. Elsevier Ltd. 2021 2020-08-11 /pmc/articles/PMC7418648/ /pubmed/32837924 http://dx.doi.org/10.1016/j.matpr.2020.07.729 Text en © 2020 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Newer Trends and Innovation in Mechanical Engineering: Materials Science. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shruthi, M.S. Ramani, D. Statistical analysis of impact of COVID 19 on India commodity markets |
title | Statistical analysis of impact of COVID 19 on India commodity markets |
title_full | Statistical analysis of impact of COVID 19 on India commodity markets |
title_fullStr | Statistical analysis of impact of COVID 19 on India commodity markets |
title_full_unstemmed | Statistical analysis of impact of COVID 19 on India commodity markets |
title_short | Statistical analysis of impact of COVID 19 on India commodity markets |
title_sort | statistical analysis of impact of covid 19 on india commodity markets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418648/ https://www.ncbi.nlm.nih.gov/pubmed/32837924 http://dx.doi.org/10.1016/j.matpr.2020.07.729 |
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