One strand of business cycle research focuses on the analysis of the comovement of business cycle variables at the aggregate and sectoral levels. Following this line of research, this article examines the volatility and inter-industry comovement of output in the context of India for the post-liberalisation period, that is, April 1992-December 2019. The study employs the dynamic conditional correlation-multivariate generalised autoregressive conditional heteroscedasticity framework and thereby estimates the conditional variance and the time-varying correlations. The results indicate that the volatilities of the capital goods sector and consumer durables sector relative to that of the aggregate industrial sector are higher, suggesting a higher amplitude of growth rates in these sectors. The conditional correlation estimates reveal that the use-based sectors are positively correlated with the aggregate industry, and the capital goods sector has the highest correlation with the aggregate sector. Given that the capital goods sector is crucial for the development of the economy, it is essential to bring more stability and sustain growth in this sector. The results further point towards positive but relatively weak correlations between the pair of sectors. The finding of positive correlation underscores the comovement of different groups of industries. The relatively weak correlations between the pairs of use-based sectors might be because of a lower degree of transmission of shocks from one use-based sector to another.