O que é Hierarchical risk parity?

Hierarchical risk parity (López de Prado) orders the assets by single-linkage clustering of correlation distances $\sqrt{(1-\rho_{ij})/2}$, and splits the capital recursively: each block of the ordered list is cut in two, and the halves receive capital in inverse proportion to the variance of their inverse-variance portfolios.