Institutional Grade Engine

Asset Allocation Simulator & ETF Rebalancer
Swensen's Portfolio

Apply the legendary Yale Endowment Model to your personal portfolio.
The most advanced tool combining Monte Carlo Simulation
and Yale Smoothing Rules for your retirement.

The Visionary

David Swensen: Unconventional Success

"A Viking's appearance, A Monk's principles" - The genius who chose the university over Wall Street greed.

13.7%

36-Year Annualized Return

$42B+

Yale Endowment Assets (approx.)
Stewardship

In 1985, at age 31, he returned to his alma mater, Yale, rejecting Wall Street's massive paychecks. His returns fund 1/3 of Yale's budget, supporting its "Need-Blind" admission policy.

Defying Convention

He moved beyond the traditional 60/40 portfolio, pioneering broad diversification into REITs, Emerging Markets, and Alternatives, proving that diversification is the "Only Free Lunch".

1987. 10.
Black Monday

Sweat Stains on the Table

On Black Monday, stocks plunged 22% in a single day. Instead of selling stocks in panic, Swensen went to the Provost.

"We need to sell bonds and buy more stocks (Rebalancing)."

"When I left the Provost's office, there were sweat stains on the table where my hands had been. But I stuck to my principles, and Yale turned the crisis into an opportunity."

The Legendary Strategy Yale Model

David Swensen's 3 Core Principles proven over 30 years

Broad Diversification

Constructing a defense with low-correlation assets: not just US Stocks, but REITs, Developed, and Emerging Markets.

Equity Orientation

Maintaining a high allocation to equity-like assets to generate returns that beat inflation over the long term.

Disciplined Rebalancing

A systematic approach to "Buy Low, Sell High", avoiding the emotional pitfalls of fear and greed.

Cost Leakage

"Investing is a zero-sum game, but after fees, it becomes a negative-sum game."
Visualize how fund fees and taxes eat away your long-term wealth.

Yale Smoothing Rule

A "Safety Belt" for retirees. It weights the previous year's spending to prevent a sudden drop in living standards during market crashes.

Spend_t = (Spend_t-1 × 0.7) + (Asset_t × Rate × 0.3)
1,000 Parallel Universes

Verifying not just one future, but all possibilities.

Statistical Engine

Monte Carlo Simulation

Average returns (e.g., 7%) are just averages. Reality has unpredictable 'Volatility'.

We simulate 1,000 virtual lifetimes using random variables. This calculates the 'Risk of Ruin', ensuring your assets don't run dry even in the worst-case scenarios.

Action Plan

Personal Swensen Portfolio

"Know Thyself." Don't mimic Yale's complex assets; mimic the market with low-cost ETFs.

Asset Class Weight Role ETF
Total US Stock 30% Core Growth Engine VTI
Developed Mkts 15% International Diversification VEA
Emerging Mkts 5% High Risk / High Return VWO
Real Estate (REITs) 20% Inflation Hedge & Cash Flow VNQ
US Treasury (Inter) 15% Crisis Protection IEF
TIPS 15% Inflation Protection TIP

Simulate Your Retirement Now!

Start immediately with presets based on David Swensen's principles.

Start Simulation

© 2026 Swensen Allocator Project.
Based on the principles of David Swensen (1954–2021).