Unravelling the return and volatility interdependencies between Indian equity ETFs and benchmark indices
Marvin Sabu and
Rajani B. Bhat
Afro-Asian Journal of Finance and Accounting, 2026, vol. 16, issue 3, 300-326
Abstract:
This study investigates the time-varying volatility interconnectedness between Indian equity exchange traded funds (ETFs) and their underlying benchmark indices. Using Diebold and Yilmaz's generalised VAR model and the benchmark bivariate GARCH-BEKK model, it consistently finds bidirectional return and volatility spillovers among most equity ETFs, indicating market efficiency. Notably, sectoral ETFs exhibit higher sensitivity to benchmark index shocks than broad index ETFs. A 200-day rolling window analysis reveals an increased volatility spillover effect between ETFs and their underlying indices during the initial phase of the COVID-19 crisis in India. The key implication is that the equity ETF market is largely efficient. Investors may face difficulties consistently achieving abnormal returns since authorised participants (APs) help correct temporary mispricing through the creation/redemption process. Additionally, some equity ETFs exhibit tracking inefficiency, prompting caution among investors when selecting ETFs, considering volatility as a key factor affecting tracking efficiency.
Keywords: exchange traded funds; ETFs; volatility spillover effect; COVID-19; tracking error; Indian equity ETF market; market efficiency. (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=153551 (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:afasfa:v:16:y:2026:i:3:p:300-326
Access Statistics for this article
More articles in Afro-Asian Journal of Finance and Accounting from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().