I thought I'd take a quick look at what sequence risk looks like in my simulator. To do that I compared the compound annual geometric return for the first 10 years of simulated return data to the simulated end state terminal wealth (net of consumption) in terms of the compound annual growth rate for the number of years lived in the model.
[1] I ran 10,000 simulations. It looked more or less like this:
This was not an "everyman" or every-person type analysis, though. This was a custom simulation tuned to some particulars I happened to be looking at. Assumptions of note included:
-Age 58 start with stochastic longevity within a Gompertz distribution (87.5/9.5).
-Constant spend with probability based step-downs at age 68 and 85
-Spend rate of initial step is unusually low (<=3%)
-Inflation random, bootstrapped off history
-Stock/Bond returns random, boostrapped off history
[2]
-Stock/Bond Return Correlation
-Allocation: 60/40 stocks/bonds, 70/30 tbills/tbond
-.6% fees and simulated tax drag
-Longevity capped at 105
-Tactical suppression of near term (10 years) returns
The fail rate, for what it's worth, was 4.1%.
[3]