Ivy Portfolio vs Classic 60/40 Portfolio

Compare Meb Faber's tactical Ivy Portfolio, which implements a 10-month moving average trend filter to manage drawdown, against the traditional passive 60/40 stock/bond benchmark.

Performance & Risk Metrics (2016-2026)

Metric Ivy Portfolio Classic 60/40
CAGR (10-Year) 8.8% 8.2%
Max Drawdown -14.2% -20.5%
Sharpe Ratio 0.64 0.48
Volatility (StdDev) 8.9% 9.8%
Best Calendar Year +19.6% +22.4%
Worst Calendar Year -8.5% -18.0%
Asset Universe US Stocks, Int'l Stocks, REITs, Commodities, Bonds Global Stocks (60%), Aggregate Bonds (40%)
Rebalancing Monthly Trend Check (Moving Average) Semi-annual or Annual

Ivy Portfolio — Tactical Trend Following

Designed by Meb Faber, the Ivy Portfolio attempts to mimic the broad diversification of elite university endowments (like Harvard and Yale). It divides assets equally (20% each) into US Stocks, International Stocks, Real Estate, Commodities, and Intermediate Treasury Bonds. The key differentiator is the **10-month simple moving average (SMA) filter**. If an asset class trades below its 10-month SMA at month-end, the strategy exits that asset and moves that 20% slice into cash, successfully avoiding prolonged bear markets.

Classic 60/40 — Passive Buy-and-Hold

The classic institutional benchmark consists of 60% broad market equities and 40% aggregate bonds. It requires no active management or market timing. It relies on the historical negative correlation between equities and bonds to mitigate volatility. However, during periods of joint stock-bond selloffs (such as the inflationary shock of 2022), the 60/40 portfolio suffers from significant drawdown due to its lack of diversification into real assets like commodities and real estate.

Key Differences Explained

The major distinction lies in how they handle bear markets. The Ivy Portfolio employs active **risk mitigation** using a simple trend indicator, while the 60/40 portfolio remains fully invested at all times.

  • Asset Class Breadth: Ivy includes Real Estate (REITs) and Commodities (gold/energy), providing inflation protection that a pure stock/bond 60/40 model lacks.
  • Drawdown Prevention: During major crashes (e.g., 2008 or late 2022), Ivy's moving average filter flags the downturn and rotates capital into safe cash, capping drawdowns at -14.2% compared to -20.5% for 60/40.
  • Turnover & Execution: The 60/40 is the ultimate "set-and-forget" portfolio. Ivy requires a monthly routine to check prices against their SMAs and execute trades when trends reverse. This increases transaction costs and tax considerations in taxable accounts.

Side-by-Side Pros and Cons

Ivy Portfolio Pros & Cons

  • Lower historical maximum drawdown (-14.2% vs -20.5%).
  • Better Sharpe ratio (0.64 vs 0.48), meaning more efficient risk-adjusted performance.
  • Includes real assets for commodity and inflation hedging.
  • Requires monthly tracking and active trading.
  • Whipsaw risk (selling an asset at a loss only for it to quickly recover).

Classic 60/40 Pros & Cons

  • Zero maintenance — buy once and hold forever.
  • Slightly higher upside in sustained, uninterrupted equity bull markets.
  • Highly liquid and simple with only two cheap ETFs.
  • Severe drawdowns during correlated stock-bond bear markets.
  • No protection against high inflation environments.
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Which Strategy is Right For You?

Choose Ivy Portfolio if: You want protection against severe bear markets and value diversification into real estate and commodities. The trend filter helps sleep well at night during major market declines.

Choose 60/40 if: You want a completely passive, low-maintenance strategy. If you do not want to monitor moving averages monthly and are comfortable riding out occasional -20% drawdowns, the classic 60/40 is a time-tested, simple choice.

Analyze Ivy Strategy Analyze 60/40 Portfolio
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.