This study proposes methodological adjustments to the widely adopted performance benchmarking methodology of Daniel et al. (1997) as a means of improving the precision of alpha measurement for active equity fund managers. We achieve this by considering the monthly updating of characteristic...

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...

We examine potential sources of measurement error when evaluating the after-tax performance of fund managers based on periodic snapshots of their holdings alone, compared to when daily transactions data are also available. To do this, we compare portfolio return estimates based on imputed trades...

We investigate the existence and sources of performance persistence for Australian equity funds, using monthly portfolio holdings data. We find significant persistence among outperforming rather than underperforming funds, which is primarily related to security selection skill, and is associated...