Monte Carlo analysis has become a fairly widespread tool for financial planners to use to understand the implications of market volatility and return uncertainty on the ability of clients to achieve their goals.
Yet the uncertainty in retirement isn't just about the returns that will be earned on investments that are necessary to support spending, but also how long that spending must last. Notwithstanding the uncertainty of mortality, though, most financial planners select a fixed - albeit conservative - time horizon for the portfolio, such as 30 years for a 65-year-old couple. But can this strategy make the plan too conservative? After all, a 90% probability of success - which corresponds to a 10% chance of failure - is actually only a 1.8% probability of failure when it assumes the couple will live until age 95 (given the low likelihood of a client actually surviving that long), and in turn means the client may be saving more, spending less, or retiring later than is really necessary!
Which raises the question - are we being too conservative with our mortality/longevity assumptions? Read More...