Nancy Graham CPA, CA, CIM, CFP, TEP

Portfolio Manager
  • T613.237.5544 x 303
  • 1.800.230.5544
  • F613.237.5949
  • 265 Carling Avenue,
    8th Floor,
  • Ottawa, Ontario K1S 2E1

Hope You Live To Be 100 … But Can You Afford It?

January 12, 2017 - 0 comments

In my last video, we started talking about a financial planning subject that’s on almost every grown-up’s mind: “Nancy, how much do I need to retire?


Given the significance of the subject, I have dedicated a couple of videos to this decidedly “No Dumb Question.” In the first installment, I covered some of the big-picture considerations, like setting your retirement goals and coming up with a rough idea of how you’re doing so far.

In today’s video, I’ll sharpen up that rough idea. Guesstimating may be well and good when you’re young and retirement is decades away. But as the years dwindle between you and that big, vague blob, you’ll want to more accurately assess where you stand. That’s where a tool called Monte Carlo analysis can help you fine tune the financial end of funding your retirement.

Monte Carlo analysis is helpful, because it rightfully assumes that you’re probably in for financial surprises you cannot foresee, and calculates them into your planning mix. Rather than fixating on a single outcome, we plug in your income, investing and spending numbers. The analysis then churns out a wide range of possible outcomes – from best- to worst-case scenarios.

Unfortunately, no planning tool can guarantee your ideal retirement. Even the most rock solid plans can be dashed against life’s many uncertainties. But knowing the range of odds you face can go a long way toward creating retirement plans built to last. Check out today’s video to learn more about how Monte Carlo “what if?” analyses can work for you.

While you’re at it, are there other financial puzzles you’re pondering? Share them with me, and I’ll see if we can piece them together in a future “No Dumb Questions” segment.

If you like what you hear, subscribe to my YouTube channel to stay in the “No Dumb Questions” loop.

By: Nancy Graham with 0 comments.
Blog post currently doesn't have any comments.

 Security code