We examine the effects of algorithmic trading (AT) on the US mutual fund industry and find that funds holding stocks with higher AT intensity have lower holdings returns and higher interim trading profits (return gap). This effect survives controls of effective spread and execution shortfall....

We examine the Kondor theoretical explanation of an enduring puzzle: trading volumes and stock return volatility peak after the release of public information. Using a comprehensive data set of institutional holdings and earnings announcements, we find supporting evidence that the proportion of...

We examine the effect of algorithmic trading (AT) on the US mutual fund performance and find that funds holding stocks with higher AT intensity have lower holdings return and higher interim trading profits as measured by return gap. This positive effect of AT on return gap survives controls of...