A BI-FOLD APPROACH TO ASSESS THE IMPACT OF LOCKDOWN ON SUPPRESSING COVID-19 SPREAD & SMALL CAP STOCK MARKET MAYHEM IN INDIA

Ahan Chatterjee
Additional contact information
Ahan Chatterjee: Neotia University, Sarisha, India

Journal of Information Systems & Operations Management, 2020, vol. 14, issue 2, 26-37

Abstract: The arrival of nCoV virus took the existence of human race in the toss, thus to slow down the spread of the virus Indian Government imposed a nationwide lockdown. In this paper, we aim to find the liaison between the impacts of lockdown on slowing down the spread of the virus along with the unprecedented blow to the small cap companies enlisted in the stock market. The impact of lockdown model has been assessed by proposing a differential equation based mathematical modelling (SIQR Modelling). Along with that, the stock market effect has been analyzed using a proposed Bi-Directional LSTM model optimized using Genetic Algorithm. In this present research, we have optimized the time-stamp window using genetic algorithm, before passing through the LSTM architecture. The novelty of the paper lies in the bi-fold approach to assess the chaos of the stock market, under 2 conditional scenarios i.e. with and without the lockdown.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/WI20/JISOM-WI20-A03.pdf (application/pdf)

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:rau:jisomg:v:14:y:2020:i:2:p:26-37

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().