Investigates ML vs. Financial Math for optimizing portfolios of cointelated assets.
problem Dynamic portfolio optimization for cointelated pairs in continuous-time setting.
method Uses cointelation model in Financial Math and Deep Galerkin method for ML. Solves HJB equation numerically.
result Machine Learning outperforms Financial Math in simulated cointelation data.