Using the monthly data for more than 1700 Australian stocks over the period from 1990 to 2009, we investigate whether industry portfolio returns predict the aggregate market. We find that a few industries significantly lead the market even controlling for well-recognized market predictors....

We study dynamic portfolio choice of a long-horizon investor who uses deep learning methods to predict equity returns when forming optimal portfolios. Our results show statistically and economically significant benefits from using deep learning to form optimal portfolios through certainty...

Do more active hedge fund managers generate higher returns than their less active peers? We attempt to answer this question. Using Kalman Filter techniques, we estimate the risk exposure dynamics of a large sample of live and dead equity long-short hedge funds. These estimates are then used to...

We construct a parsimonious set of equity factors by sorting stocks according to the sociodemographic characteristics of the individual investors who own them. The analysis uses administrative data on the stockholdings of Norwegian investors in 1997-2018. Consistent with financial theory, a...