Hi Guys,
I agree with the many earlier posters.
As a generic rule of thumb, the 4% retirement drawdown is an excellent departure point. But like all general rules, it depends. Adjustments must be made depending on specific circumstances like age, wealth, lifestyle, inflation, flexibility, expected market rewards, and portfolio asset allocation comfort zone.
Let’s put the 4% withdrawal recommendation in its proper historical perspective.
The original work is called “The Trinity Study" because it was completed by three Trinity University professors: Philip L. Cooley, Carl M. Hubbard and Daniel T. Walz . The title of a 6-page readable summary is “Retirement Savings: Choosing a Withdrawal Rate That Is Sustainable”. Here is a Link to this now classic work:
http://209.31.88.154/journal/article/retirement-savings-choosing-a-withdrawal-rate-that-is-sustainableThe Trinity study contains market data through 199
5. It manipulated the historical market return outcomes in the sequence that it was actually recorded using different starting times to test portfolio survival rates. So it has definite limitations with respect to all market possibilities.
To a large extent, modern random Monte Carlo simulations address these limitations. They can do thousands of possible Market outcomes in a matter of seconds using statistical distribution data sets.
Monte Carlo methods were developed to support the design of the Atomic bomb in World War II. The uncertainties of market returns are precisely what Monte Carlo was designed to handle.
I suggest, if you are even slightly interested in retirement portfolio survival likelihoods as a function of expected returns, inflation, asset allocation, and time scale, that you give Monte Carlo computer codes a try. It’s a super tool to add to your investment toolkit.
Here is a Link to an easy to use Monte Carlo simulator from the Portfolio Visualizer website:
https://www.portfoliovisualizer.com/monte-carlo-simulationHere is a Link to a similar Monte Carlo formulation from the MoneyChimp website:
http://www.moneychimp.com/articles/volatility/montecarlo.htmPlease do some what-if scenario test cases on both resources. Inputs are easy and results are almost instantaneous. It’s fun and you’ll learn something with each case examined. Since these are Monte Carlo analyses that use randomly selected numbers, results will vary with each completed exploration, but the trendlines are firm. Good luck.
Some folks will be happy with a 9
5% portfolio survival rate while others will be uncomfortable with a 97% survival projection(a 3% portfolio failure probability). Like almost everything else in life, it all depends.
Best Wishes to all for the coming year and beyond.