Dynamic connectedness and spillovers across sectors: Evidence from the Indian stock market

Ioannis Chatziantoniou, David Gabauer and Hardik A. Marfatia

Scottish Journal of Political Economy, 2022, vol. 69, issue 3, 283-300

Abstract: We investigate stock market sectoral connectedness in India utilizing a time‐varying parameter vector autoregressive connectedness approach. Results show that stock market sectoral connectedness varies across time. Connectedness is strongest during the 2008 crisis, the double‐digit inflation and stock market crash of 2011, following the national elections of 2014, and the demonetization of 2016. Among sectors, consumers' spending, industry, finance, and basic materials are net transmitters of shocks, while information technology, fast‐moving consumer goods, health care, and telecommunications are net receivers. Findings can help formulate policies that alleviate sectoral imbalances and promote balanced growth. They are also useful for devising optimal portfolio diversification strategies.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://doi.org/10.1111/sjpe.12291

Related works:
Working Paper: Dynamic Connectedness And Spillovers Across Sectors: Evidence From The Indian Stock Market (2020)
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:bla:scotjp:v:69:y:2022:i:3:p:283-300

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0036-9292

Access Statistics for this article

Scottish Journal of Political Economy is currently edited by Tim Barmby, Andrew Hughes-Hallett and Campbell Leith

More articles in Scottish Journal of Political Economy from Scottish Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().