There is a large literature that reports time-specific anomalies in equity markets such as the Monday effect, the January effect and the Halloween effect. This study is the first to report intra-day time-of-day, day-of-week, and month-of-year effects for Bitcoin returns and trading volume. Using...

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 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...