Hierarchical risk parity variants for cryptocurrency portfolios: denoising, detoning, tail dependence, embeddings and statistical inference, 2020–2026
We extend the 2025 conference study on Hierarchical Risk Parity (HRP) by addressing its two stated methodological follow-ups (Marchenko-Pastur denoising and spectral detoning) and by evaluating abroader cross-section of portfolio construction choices on a survivorship-bias-corrected, point-in-time Binance universe (146 ever-included symbols, 2020–2026). The comparison includes 27 constructed strategies spanning HRP-family variants, risk-based allocators, nested-clustering optimisers, momentum rules, and signal-aware extensions.