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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...

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Detalles Bibliográficos
Autores principales: Shruthi, M.S., Ramani, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
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
Descripción
Sumario: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.