no code implementations • 11 Mar 2019 • Luyang Chen, Markus Pelger, Jason Zhu
We use deep neural networks to estimate an asset pricing model for individual stock returns that takes advantage of the vast amount of conditioning information, while keeping a fully flexible form and accounting for time-variation.