HRP vs MVO Portfolio Construction

Comparing Hierarchical Risk Parity against Mean-Variance Optimization for cryptocurrency portfolios

Published: February 7, 2026 Recommendation: HRP
75%
HRP Lower Volatility
75%
HRP Better Drawdowns
2.2x
More Consistent Returns
115%
MVO Avg Return

Executive Summary

HRP Advantages

  • + Lower volatility (23.9% vs 30.2%) - wins 75% of windows
  • + Better drawdown protection (worst: 14.4% vs 16.8%)
  • + More consistent returns (std: 31.9% vs 71.4%)
  • + No matrix inversion - works with singular covariance

MVO Advantages

  • + Higher absolute returns (115.3% vs 80.5% average)
  • + Slightly higher Sharpe (3.67 vs 3.10)
  • + Can capture outlier gains (231.8% in Window 2)
  • + Maximum Sharpe portfolio option available

Performance Metrics Comparison

Insight: MVO shows higher returns but also higher volatility and drawdowns.

HRP Win Rates vs MVO

Key Finding: HRP wins on risk metrics (volatility, drawdown) in 75% of windows.

Returns Across Test Windows

Insight: MVO can capture extreme gains (Window 2: 231.8%) but with more variance.

Volatility Across Test Windows

Key Finding: HRP consistently delivers lower volatility across all windows.

Maximum Drawdown Comparison

Key Finding: HRP's worst drawdown (14.4%) beats MVO's worst (16.8%).

Risk-Return Profile

Insight: HRP clusters in lower-risk region; MVO shows wider spread.

Methodology

HRP Algorithm

  1. Tree Clustering: Ward's hierarchical clustering on correlation distance
  2. Quasi-Diagonalization: Reorder assets so correlated ones are adjacent
  3. Recursive Bisection: Allocate using inverse variance within clusters

MVO Algorithm

  1. Covariance Matrix: Build from correlation and volatilities
  2. Gradient Descent: Minimize portfolio variance
  3. Simplex Projection: Enforce weight constraints (sum=1, non-negative)

Test Configuration

  • Windows: 4 rolling 6-month periods
  • Training: 6 months for correlation/weight calculation
  • Testing: 6 months out-of-sample performance
  • Assets: Top 20 grid-suitable cryptocurrencies

Rating System Integration

  • ETS Filter: Only grid-suitable assets (ETS >= 40)
  • Weight Boost: Higher ETS = allocation boost within clusters
  • Correlation Aware: HRP handles crypto's high correlation naturally

Implementation Recommendation

Conservative Profiles

Use HRP as default. Provides better risk management and more consistent returns.

Aggressive Profiles

Use MVO for return-focused users willing to accept higher volatility and drawdowns.

Hybrid Approach

Offer both methods in UI. Let users choose based on their risk tolerance and goals.

Related Research

* Note on this figure, added 2026-08-05: The 0.886 correlation (and the return/win-rate figures on this page) were measured under an earlier version of the rating formula (dated 2026-01-29). The formula has since been re-optimized three times; internal walk-forward testing as of 2026-05-13 indicates a higher correlation under the current formula. We are re-running this study under the live formula and will republish updated figures. The qualitative finding — that higher-rated assets have historically outperformed lower-rated ones — is not affected by this note; the exact numbers above should not be cited as describing today's system until the re-run is complete.

Research conducted using rolling forward test methodology | February 2026

Data: 4 independent 6-month test windows, 14 cryptocurrencies