Optimization

This chapter addresses a fundamental flaw in modern portfolio theory: instability.

This chapter introduces Hierarchical Risk Parity (HRP), a machine learning-based asset allocation method designed to overcome the critical flaws of traditional quadratic optimizers, such as Markowitz’s Critical Line Algorithm (CLA).