Hi Guys,
Wow!
When I first started thinking in terms of an early retirement, I was approaching 60. Thinking and planning for a mid-50s retirement was never in my playbook. Congratulations if you want and can execute that major league feat.
Every case is highly personal, and therefore singularly different.
In my case, my earning and saving career only started after completing graduate school and doing some military service. I was 30 before mustering out of the Army. At that time, my wife and I packed our entire belongings in an old Chevy and headed for California with the back seat still partially empty. No way could we manage retirement in just a little North of 20
years.
But that’s our story, and I’m sure each of you have your own compelling versions. For you younger folks, retirement will be a life changing event, and warrants careful and painful study before a decision is made. I say painful because of the many component uncertainties that feed that decision process.
One tool that addresses some of these uncertainties is Monte Carlo simulators. Monte Carlo analyses were specifically designed to assess risk probabilities under uncertain environments. During World War II, they played a significant role in the development of nuclear weapons. Within the last 2 decades, Monte Carlo simulations have been developed to facilitate retirement planning. These simulators are now readily accessible for all to exploit.
All the large mutual fund outfits offer this tool: Vanguard, Fidelity, T Rowe Price and others provide versions of differing complexity and differing input requirements. They all do yeomen work. I suggest you do a web search using Monte Carlo retirement planning as key words. You can choose your own poison from a long list of options.
One of my favorites is found at the MoneyChimp site. It is certainly not the most eloquent nor is it the most comprehensive option. But it is likely the easiest to input with instantaneous outputs from 1000 randomly selected cases. Here is the Link:
http://www.moneychimp.com/articles/volatility/montecarlo.htmOne of the benefits from these simulators is that what-if scenarios are quickly input and evaluated. Portfolio survival probabilities as a function of retirement time is the graphic output.
Test how significant the anticipated retirement length is to the portfolio survival likelihoods. Check out sensitivity to savings rate. Examine the survival impacts of guesstimated portfolio annual returns and their volatility by inputting various levels for each parameter. All of these sensitivity studies can be completed in quick time.
All Monte Carlo analyses only output probabilities. They don’t predict the future. That’s the nature of future uncertainties. But they provide the user with a feeling for the robustness of his plans and provide guidelines for more attractive options. Please give this working tool a try.
By the way, Monte Carlo simulators might also help retirees to make better informed portfolio asset allocation and drawdown decisions. None of this is perfect, but in the investment universe, nothing is ever perfect.
Best Wishes for wise decision making.