Empirical analysis of lead-lag relationship in the Indian stock market amid the COVID-19 pandemic

The markets often need to be more efficient during significant events, which enables investors to earn atypical returns. This study seeks to determine whether there was a lead or lag relationship between the Sensex and the Nifty from 2012 to 2023, including the COVID-19 pandemic period. This study uses the Granger causality test and two-step regression process to determine the existence and direction of causality along with cross-residual impact between Nifty and Sensex during the announcement of lockdowns and unlocks. We examine the responses of the indexes in the presence of an exogenous information shock (the lockdown and unlock announcement). The two-step regression model results show a cross-residual impact from Sensex to Nifty, suggesting that Sensex has a leading relationship with Nifty. Thus, Nifty and Sensex were inefficient during the pandemic. The findings provide evidence against the efficient market hypothesis and establish a lead-lag relationship between Nifty and Sensex.

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Publication Details

Journal
Afro-Asian J of Finance and Accounting
Published
2025-12-19
DOI
https://doi.org/10.1504/aajfa.2026.150627
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
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article

Empirical analysis of lead-lag relationship in the Indian stock market amid the COVID-19 pandemic

R. L. Manogna, Amitabh Singh
Afro-Asian J of Finance and Accounting
COVID-19 Pandemic Impacts
article

Empirical analysis of lead-lag relationship in the Indian stock market amid the COVID-19 pandemic

R. L. Manogna, Amitabh Singh
article en

Abstract

The markets often need to be more efficient during significant events, which enables investors to earn atypical returns. This study seeks to determine whether there was a lead or lag relationship between the Sensex and the Nifty from 2012 to 2023, including the COVID-19 pandemic period. This study uses the Granger causality test and two-step regression process to determine the existence and direction of causality along with cross-residual impact between Nifty and Sensex during the announcement of lockdowns and unlocks. We examine the responses of the indexes in the presence of an exogenous information shock (the lockdown and unlock announcement). The two-step regression model results show a cross-residual impact from Sensex to Nifty, suggesting that Sensex has a leading relationship with Nifty. Thus, Nifty and Sensex were inefficient during the pandemic. The findings provide evidence against the efficient market hypothesis and establish a lead-lag relationship between Nifty and Sensex.

Afro-Asian J of Finance and AccountingVol. 16(1)
Birla Institute of Technology and Science, Pilani (IN)
Openalex Percentile: Top 52%
COVID-19 Pandemic Impacts
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