Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data

<p>The uprising of the pandemic COVID-19 has paralysed the whole Indian economy, and as a result the Indian stock market is severely affected too. The widely inclusive lockdown articulated on 24th March 2020 by the Prime Minister as a careful step against COVID-19, trailed by ensuing augmentat...

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Autores principales:	Bharat Kumar Meher, Iqbal Thonse Hawaldar, Mathew Thomas Gil, Deebom Zorle Dum
Formato:	article
Lenguaje:	EN
Publicado:	EconJournals 2021
Materias:	Environmental sciences GE1-350 Energy industries. Energy policy. Fuel trade HD9502-9502.5
Acceso en línea:	https://doaj.org/article/288d373683e8405fb5ea2a854cb84371
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spelling	oai:doaj.org-article:288d373683e8405fb5ea2a854cb843712021-11-12T07:27:32ZMeasuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data2146-4553https://doaj.org/article/288d373683e8405fb5ea2a854cb843712021-11-01T00:00:00Zhttps://econjournals.com/index.php/ijeep/article/view/11866https://doaj.org/toc/2146-4553<p>The uprising of the pandemic COVID-19 has paralysed the whole Indian economy, and as a result the Indian stock market is severely affected too. The widely inclusive lockdown articulated on 24th March 2020 by the Prime Minister as a careful step against COVID-19, trailed by ensuing augmentations, has brought about a halt of all financial movement in the country. The objective of the study is to frame different asymmetric price volatility models for Selected Companies under Energy Sector using 1-minute closing price from 15th October 2019 to 15th May 2020 to captivate the leverage effect of the pandemic. The asymmetric terms in the selected asymmetric models are providing sufficient proof that the stock price volatility of three companies out of six under NIFTY Energy i.e., BPCL, Power grid and Indian Oil Corporation are unfavourably influenced by the pandemic. The forecasting graphs for volatility of four companies have been plotted, reveals that there is consistency in the stock price returns of all these four companies but the graph of predicted variance of Indian Oil Corporation reveals that the volatility has been fluctuating drastically with many high peak variances or fluctuations during the two days of forecasted period.</p><p><strong>Keywords:</strong> Asymmetric Volatility, EGARCH, GJR-GARCH, TGARCH, High frequency Data</p><p><strong>JEL Classifications: </strong>C40, C530, C550, C580, G110, G120, G170<strong></strong></p><p>DOI: <a href="https://doi.org/10.32479/ijeep.11866">https://doi.org/10.32479/ijeep.11866</a></p>Bharat Kumar MeherIqbal Thonse HawaldarMathew Thomas GilDeebom Zorle DumEconJournalsarticleEnvironmental sciencesGE1-350Energy industries. Energy policy. Fuel tradeHD9502-9502.5ENInternational Journal of Energy Economics and Policy, Vol 11, Iss 6, Pp 489-502 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Energy industries. Energy policy. Fuel trade HD9502-9502.5
spellingShingle	Environmental sciences GE1-350 Energy industries. Energy policy. Fuel trade HD9502-9502.5 Bharat Kumar Meher Iqbal Thonse Hawaldar Mathew Thomas Gil Deebom Zorle Dum Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data
description	<p>The uprising of the pandemic COVID-19 has paralysed the whole Indian economy, and as a result the Indian stock market is severely affected too. The widely inclusive lockdown articulated on 24th March 2020 by the Prime Minister as a careful step against COVID-19, trailed by ensuing augmentations, has brought about a halt of all financial movement in the country. The objective of the study is to frame different asymmetric price volatility models for Selected Companies under Energy Sector using 1-minute closing price from 15th October 2019 to 15th May 2020 to captivate the leverage effect of the pandemic. The asymmetric terms in the selected asymmetric models are providing sufficient proof that the stock price volatility of three companies out of six under NIFTY Energy i.e., BPCL, Power grid and Indian Oil Corporation are unfavourably influenced by the pandemic. The forecasting graphs for volatility of four companies have been plotted, reveals that there is consistency in the stock price returns of all these four companies but the graph of predicted variance of Indian Oil Corporation reveals that the volatility has been fluctuating drastically with many high peak variances or fluctuations during the two days of forecasted period.</p><p><strong>Keywords:</strong> Asymmetric Volatility, EGARCH, GJR-GARCH, TGARCH, High frequency Data</p><p><strong>JEL Classifications: </strong>C40, C530, C550, C580, G110, G120, G170<strong></strong></p><p>DOI: <a href="https://doi.org/10.32479/ijeep.11866">https://doi.org/10.32479/ijeep.11866</a></p>
format	article
author	Bharat Kumar Meher Iqbal Thonse Hawaldar Mathew Thomas Gil Deebom Zorle Dum
author_facet	Bharat Kumar Meher Iqbal Thonse Hawaldar Mathew Thomas Gil Deebom Zorle Dum
author_sort	Bharat Kumar Meher
title	Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data
title_short	Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data
title_full	Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data
title_fullStr	Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data
title_full_unstemmed	Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data
title_sort	measuring leverage effect of covid 19 on stock price volatility of energy companies using high frequency data
publisher	EconJournals
publishDate	2021
url	https://doaj.org/article/288d373683e8405fb5ea2a854cb84371
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Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data

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