Golden Butterfly vs All Weather Portfolio

Two passive all-weather strategies designed to survive any economic regime. The Golden Butterfly adds a small-cap value growth tilt to Harry Browne's Permanent Portfolio concept, while Ray Dalio's All Weather uses risk-parity weighting to balance volatility contributions.

Performance & Risk Metrics (2016-2026)

Metric Golden Butterfly All Weather
CAGR (10-Year)8.5%7.2%
Max Drawdown-11.0%-11.9%
Sharpe Ratio0.680.60
Volatility (StdDev)7.4%7.8%
Best Calendar Year+18.2%+16.8%
Worst Calendar Year-5.8%-6.2%
Number of Assets5 (equal 20% each)5 (risk-parity weighted)
RebalancingAnnually or ±5% bandAnnually

Golden Butterfly Philosophy

The Golden Butterfly evolves Harry Browne's Permanent Portfolio by replacing the generic US equity slice with two components: total market stocks and small-cap value stocks. This adds a factor premium (the size and value factors have historically outperformed large-cap growth over multi-decade periods). The five equal 20% slices — Total Market, Small-Cap Value, Long Bonds, Short Bonds, and Gold — create a balanced exposure to growth, recession, inflation, and deflation.

All Weather Philosophy

Ray Dalio's All Weather Portfolio allocates by risk contribution rather than dollar amounts. Because bonds are less volatile than stocks, risk-parity logic allocates more dollars to bonds (40% in long-term Treasuries + 15% intermediate) to equalize each asset's risk impact. The 30% equity, 7.5% gold, and 7.5% commodities provide growth and inflation protection. The result is a portfolio where no single economic regime can dominate losses.

Key Differences

  • Growth Engine: Golden Butterfly's small-cap value tilt (20%) provides a higher expected return premium. All Weather's 30% equity allocation is more conservative but diversified across global markets.
  • Inflation Protection: All Weather holds commodities (7.5%) in addition to gold (7.5%), providing broader inflation hedging. Golden Butterfly relies on gold alone (20%) for its inflation hedge, but with double the allocation.
  • Bond Allocation: All Weather is heavily bond-weighted (55% total) due to risk-parity logic. Golden Butterfly splits bonds evenly between long and short duration (20% each, 40% total), providing a more balanced duration profile.
  • Simplicity: Both portfolios use 5 ETFs and annual rebalancing. Implementation complexity is nearly identical.
  • 2022 Stress Test: Both suffered during the simultaneous stock/bond crash, but Golden Butterfly's lower bond concentration and higher gold weight provided slightly better downside protection.
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Which Strategy is Right For You?

Choose Golden Butterfly if: You want a slightly higher CAGR with a small-cap value growth tilt, believe in factor investing, and prefer equal-weight simplicity. Best for long-term buy-and-hold investors who can tolerate occasional factor underperformance.

Choose All Weather if: You follow Ray Dalio's risk-parity philosophy, want broader commodity exposure, and prefer a portfolio designed to minimize the impact of any single economic surprise. Best for conservative investors who prioritize stability over growth.

Analyze Golden Butterfly Analyze All Weather
MK
Marcin Kowalski Quantitative Researcher

Marcin Kowalski designs and backtests rules-based quantitative strategies. He holds an MS in Quantitative Finance and leads research for systematic asset allocation at StrategyIndex.io.

Backtest Methodology

Backtests are based on historical monthly Total Return data (dividends reinvested) of proxy index ETFs. We assume zero transaction slippage, annual/monthly rebalancing frequency, and no leverage. All calculations are executed systematically without human discretion.

Data Sources & Integrity

Historical figures are sourced from Yahoo Finance API, Tiingo Cloud API, and FRED Federal Reserve Database.

Last Data Update: June 30, 2026
Educational Purpose Only & Disclaimer

All content and calculation tools on StrategyIndex.io are intended solely for educational, research, and informational purposes. They do not constitute financial advice, tax planning, investment recommendations, or legal counsel. Hypothetical backtesting results have inherent limitations and do not represent actual trading. Past performance is never an indicator or guarantee of future returns. Asset allocation models are subject to market volatility, tracking errors, and strategy breakdown. Consult a certified financial planner before making any investment decisions.