Hi Guys,
Whenever a MFO discussion on
retirement planning and drawdown schedule is initiated, my contributions are predictable and fairly consistent. Sorry about that, but I’m a firm believer that Monte Carlo methods are especially appropriate tools to provide actionable guidance.
I believe I posted on this subject recently, but I’ve forgotten the Discussion title. So I will repost my comments as follows:
“Simple heuristics (rules-of-thumb) are fine when making common everyday decisions like buying a hamburger or not, but are totally inadequate when making complex, significant decisions like those about
retirement.
The
retirement when, where, how much do I need, drawdown rate, portfolio size and placements seem hopelessly intertwined to permit a comfortable and confident decision. But a financial tool is readily accessible that significantly attenuates doubt, and it’s not rule-of-thumb based.
I’ve proposed this approach many times on MFO, but I don’t hesitate to do so once again. That tool is Monte Carlo simulation analyses. I do not apologize for being a broken record in this instance.
Many such tools are easily accessible for free on the Internet. Two such codes that I have previously recommended are the PortfolioVisualizer and the MoneyChimp codes. Here are direct Links to these Monte Carlo simulators:
https://www.portfoliovisualizer.com/monte-carlo-simulationhttp://www.moneychimp.com/articles/volatility/montecarlo.htmPlease give them a few tries. The inputs are self-explanatory, and the codes are fast. Many scenarios can be explored over a short commitment of time. Endless what-if scenarios can be examined with end portfolio average value and portfolio survival likelihoods as their primary outputs. Thousands of cases are randomly constructed for the projected market returns.
The PortfolioVisualizer tool has more user options, but the MoneyChimp version also does yeomen work. Since these are Monte Carlo-based codes, each time a simulation is made, expect slightly changed predictions. That somewhat captures the fragile nature of the uncertain future.
Retirement decisions will be dramatically improved by application of these simulators. Imperfect analyses (even estimating the range of possible market returns is risky business) almost always beats poorly informed guesstimates. Before making a
retirement decision, give the Monte Carlo codes a test ride. They are powerful stuff for everyone.
And for normal circumstances and drawdown rates, a 2 million dollar portfolio is not necessary for a portfolio with some equity holdings. Do the analyses to challenge the robustness of that statement.”
I hope my repost is helpful to some newer MFO members. Portfolio volatility degrades end wealth. That’s why when constructing a portfolio one goal is to minimize its standard deviation (volatility). Low component standard deviations and low component correlation coefficients work to accomplish that goal.
A simple equation demonstrates the need to minimize portfolio standard deviation to achieve a higher cumulative return. Cumulative annual return is roughly equal to average annual return minus one-half times the square of the portfolio’s standard deviation. Note the minus sign. Standard deviation always operates to reduce average annual returns over the years.
Good luck and good planning for your
retirement, and for the likelihood of your portfolio’s survival.
Best Wishes.