Permanent Portfolio (PP)

Passive Portfolios Low

About Strategy

A highly resilient asset allocation model designed by Harry Browne. Divided into four equal asset buckets (25% each) representing economic growth, recession, inflation, and deflation.

Performance Metrics (2016-2026)

CAGR (10-Year)6.8%
Max Drawdown-8.2%
Sharpe Ratio0.65
Volatility (StdDev)6.9%
Best Year+14.8%
Worst Year-4.9%
Strategy TypePassive Portfolio
Risk ProfileLow

Asset Allocation

The Permanent Portfolio divides capital equally into four 25% allocations: US Equities (VOO) for economic growth, Long-Term Treasury Bonds (TLT) for deflation/recession protection, Gold (GLD) as an inflation hedge, and Cash/Short-Term T-Bills (BIL) for stability and optionality. Each bucket is designed to thrive in one of four possible economic environments.

Execution Rules

  1. Allocate 25% to each of four asset classes: stocks, long-term bonds, gold, and cash/short-term bonds.
  2. Rebalance when any asset drifts beyond 15% to 35% of total portfolio value (band rebalancing).
  3. Never try to predict which economic environment is coming � the portfolio is designed to handle all four simultaneously.

ETF Proxies Used in Our Backtest

  • Vanguard S&P 500 ETF (VOO) � 25% US equity growth
  • iShares 20+ Year Treasury Bond ETF (TLT) � 25% long-term bonds
  • SPDR Gold Shares (GLD) � 25% gold hedge
  • SPDR Bloomberg 1-3 Month T-Bill ETF (BIL) � 25% cash equivalent
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History & Background of the Permanent Portfolio

Harry Browne (1933�2006) was a libertarian author, financial analyst, and two-time US presidential candidate who developed the Permanent Portfolio concept in the 1980s. His philosophy was rooted in a deep skepticism of economic forecasting � he believed that nobody, including the most brilliant economists, could reliably predict which economic environment would prevail.

The Permanent Portfolio was designed around four economic regimes: Prosperity (stocks rise), Deflation/Recession (bonds rise), Inflation (gold rises), and Tight Money (cash preserves purchasing power). By allocating equally to all four, Browne created a portfolio that would never be perfectly positioned but would also never be catastrophically wrong.

The strategy gained mainstream attention through his 1999 book "Fail-Safe Investing." Since then, the Permanent Portfolio has earned a reputation as one of the smoothest-riding strategies in existence � with a historical max drawdown of just -8.2%, it rarely experiences the gut-wrenching drops that cause investors to panic-sell.

When to Use Permanent Portfolio: Pros & Cons

Strengths

  • Remarkably low max drawdown (-8.2%) � one of the smoothest strategies available
  • Truly set-and-forget � no tactical decisions required
  • Gold allocation provides genuine inflation protection
  • Simple to implement with just 4 low-cost ETFs
  • Psychologically easy to maintain � small losses are easier to stomach

Limitations

  • Lower CAGR (6.8%) � sacrifices upside for stability
  • 25% cash allocation creates significant drag on returns in bull markets
  • 25% gold can be volatile and produces no income
  • Long-term bonds (TLT) suffered massive losses in 2022 rate hikes
  • Not optimal for young investors with long time horizons who can tolerate more risk

Ideal for: Risk-averse investors who prioritize capital preservation, retirees who cannot tolerate large drawdowns, and anyone who wants the simplest possible "set it and forget it" portfolio. Works well as a psychological anchor during market volatility.

Related Strategies

Golden Butterfly

Enhanced version of PP � adds small-cap value tilt for higher returns. CAGR: 8.5%

All Weather Portfolio

Ray Dalio's risk-parity version � similar philosophy, different weights. CAGR: 7.2%

Classic 60/40

The standard benchmark � higher returns but bigger drawdowns. CAGR: 8.2%

Deep Dive

Want to master stable portfolio construction? Read our definitive Risk Parity & All Weather Guide to understand the core rules, historical performance, and exact ETF implementations.

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.