One of the primary virtues of using Monte Carlo analysis for evaluating a retirement plan is that it frames the conversation in terms of the probability of success and the risk of failure, rather than simply looking at how much wealth is left at the end of the plan. As a result, the focus of planning shifts from maximizing wealth, to maximizing the likelihood of success and minimizing the risk of failure.
Yet the reality is that while "failure" from the Monte Carlo perspective means the client ran out of money before the end of the time horizon, in truth most clients will not simply continue to spend on an unsustainable path right to the bitter end. Instead, if the plan is clearly heading for ruin, clients begin to make adjustments. Some failures may be more severe than others, and consequently some plans may require more severe adjustments than others.
But the bottom line is that a "risk of failure" is probably better termed a "risk of adjustment" instead. However, when viewed from that perspective, it turns out that the plan with the lowest risk of adjustment may not be the ideal plan for the client to choose!Read More...