EconPapers    
Economics at your fingertips  
 

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

Bharat Kumar Meher, Iqbal Thonse Hawaldar, Mathew Thomas Gil and Deebom Zorle Dum
Additional contact information
Bharat Kumar Meher: Department of Commerce, Darshan Sah College, Katihar, Under Purnea University, India
Iqbal Thonse Hawaldar: Department of Accounting and Finance, College of Business Administration, Kingdom University, Bahrain,
Mathew Thomas Gil: Department of Commerce, Manipal Academy of Higher Education, Karnataka, India
Deebom Zorle Dum: Rivers State Universal Basic Education Board, Rivers State, Nigeria

International Journal of Energy Economics and Policy, 2021, vol. 11, issue 6, 489-502

Abstract: 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.

Keywords: Asymmetric Volatility; EGARCH; GJR-GARCH; TGARCH; High frequency Data (search for similar items in EconPapers)
JEL-codes: C40 C53 C55 C58 G11 G12 G17 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.econjournals.com/index.php/ijeep/article/download/11866/6154 (application/pdf)
https://www.econjournals.com/index.php/ijeep/article/view/11866/6154 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eco:journ2:2021-06-56

Access Statistics for this article

International Journal of Energy Economics and Policy is currently edited by Ilhan Ozturk

More articles in International Journal of Energy Economics and Policy from Econjournals
Bibliographic data for series maintained by Ilhan Ozturk ().

 
Page updated 2022-08-06
Handle: RePEc:eco:journ2:2021-06-56