We examine the informational efficiency of domestic equity ETFs vis-a-vis their underlying market indices during the COVID-19 pandemic. To do so, we employ a multiscale entropy-based methodology. Our findings indicate that the informational efficiency of all ETFs as well as the indices fall sharply during the COVID induced market crash in February-March 2020. Having said so, we find disproportionate deterioration in market efficiency of ETFs and indices pertaining to USA and Canada as compared to those of China, Hong Kong and Taiwan. Interestingly, ETFs and indices pertaining to certain developed markets were found to be less efficient than their emerging market counterparts even during the pre-covid timeline. Lastly, there is a discernible difference between the efficiency of ETFs vis-a-vis their underlying indices. These findings should nudge investors to exercise caution while dealing with ETFs, for domestic ETFs do not exactly mimic the dynamics of their underlying indices.

Companies are increasingly turning to Analytics to gain a competitive edge, providing decision makers with better insights. As they do, firms must resolve unique demands on their Information Technology resources and processes. This paper attempts to review the chronology of the adoption of Analytics. Next, it highlights how various economic sectors have incorporated Analytics and the resulting changes in the ways businesses interact with their customers. Further, the paper explores the cutting edge innovations in the Analytics domain. Subsequently, this paper tries to do an impact analysis on all these developments of our lives. Finally, the opportunities and threats, and how they may stand to affect our future, are discussed.

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