Retirement Planning Insights

Expert analysis on historical simulation, withdrawal strategies, and financial independence planning

Historical 90% and Monte Carlo 90% Are Not the Same Number

Historical 90% and Monte Carlo 90% Are Not the Same Number

Historical 90% and Monte Carlo 90% Are Not the Same Number Even when both say 90% success and displayed the same way, they do not …

10 min
Monte Carlo vs Historical Simulation: Why They Disagree and Why That's Fine

Monte Carlo vs Historical Simulation: Why They Disagree and Why That's Fine

You ran a retirement simulation and got two results. The historical backtest says 98.9% success. The Monte Carlo says 90.5%. Which one is right? Both. …

7 min
Maximum Withdrawal Rate: 4%, 5%, or 6%? 150 Years of Evidence

Maximum Withdrawal Rate: 4%, 5%, or 6%? 150 Years of Evidence

The 1966 retiree could safely withdraw 3.9% annually (adjusting for inflation). The 1982 retiree could safely withdraw 11.8%, a full three times more spending power …

8 min
Sequence of Returns Risk Calculator: Early Years Matter Most

Sequence of Returns Risk Calculator: Early Years Matter Most

When planning for retirement, small differences in withdrawal rates can have dramatic impacts on portfolio longevity. This analysis explores what happens when you increase your …

12 min
1966: The Worst Year to Retire in 150 Years (And Three Other Crisis Cohorts)

1966: The Worst Year to Retire in 150 Years (And Three Other Crisis Cohorts)

1966 was worse than 1929. We tested how the same $1M portfolio performed starting in four of history's riskiest retirement years. Two failed completely. Two …

13 min
How to Upload JST Macrohistory Data to Bellavia

How to Upload JST Macrohistory Data to Bellavia

A step-by-step guide to accessing and formatting the Jordà-Schularick-Taylor Macrohistory Database for use in Bellavia's retirement planning simulations. This comprehensive dataset spans 1870-2020 and includes …

6 min
How to Use Shiller Data (ie_data.csv) for Retirement Backtesting

How to Use Shiller Data (ie_data.csv) for Retirement Backtesting

Looking to use the renowned Robert Shiller data for your retirement planning simulations? While Bellavia comes with built-in US and UK market data from 1900-2020, …

6 min
Historical Backtesting vs Monte Carlo in Retirement Planning

Historical Backtesting vs Monte Carlo in Retirement Planning

Historical data gives us the only empirical laboratory we have. It tells us how portfolios behaved through war, depression, inflation, stagnation, and exuberance. Without these …

5 min
The Ultimate Guide to Historical Market Data for Financial Planning

The Ultimate Guide to Historical Market Data for Financial Planning

Looking to analyze your retirement portfolio with real historical data? While Bellavia.app includes US and UK market data from 1900-2020, you can do even better. …

4 min