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...

We will in this paper investigate if a Tactic Asset Allocation (TAA) decision tool such as the slope of a moving average on the asset return will result in a statistical higher profit for an investor compared to a simple random investment strategy. The result indicates that a moving average...