An ARDL approach: case study of COVID-19 death and insurance stock returns

Himani Gupta, Shalini Singh, Renu Bala and Bhavna Sharma

International Journal of Business and Globalisation, 2025, vol. 41, issue 2, 156-177

Abstract: The movement of investment vehicles helps investors communicate as a stock market shield via a diverse portfolio. The COVID-19 outbreak had impacted the India along with other countries across the globe. The disease's progression and economic impact are highly uncertain. The current study is a novel effort to untangle the dynamic relationship between COVID-19 death and returns of NSE-listed life insurance stocks. We look at COVID-19 death data as well as returns from SBI Life, HDFC Life, and ICICI PRU from April 2020 to July 2021, when pandemic was the leading cause of death. Using the autoregressive distributed lag (ARDL) model technique, we discover that COVID-19 death has no dynamic relationship with the returns of selected life insurance stocks. In conclusion, our findings will provide stockholders, investment advisors, and policy experts with significant foresight into guaranteeing returns on life insurance stocks free from uncertain calamities such as COVID-19.

Keywords: insurance; economic development; financial markets. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=148781 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijbglo:v:41:y:2025:i:2:p:156-177

Access Statistics for this article

More articles in International Journal of Business and Globalisation from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().