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Modeling Premature Death in Monte Carlo Reports

With Monte Carlo, you can show a client their plan’s probability of success. However, eMoney assumes with every Monte Carlo trial both the client and spouse will pass at their life expectancy age entered in the Retirement and Death assumptions.

Let’s look at how you can demonstrate the financial and planning effects of a wide range of longevity scenarios, including a client passing away prematurely and the spouse living to life expectancy.

To model premature death in Monte Carlo reports:

  1. Create a scenario and make changes to the Retirement and Death assumptions. Switch the Assumed Age of Death of either the client or spouse to their current age and keep the original life expectancy age for the survivor.
  2. View the Monte Carlo legacy report using the Scenario you created or use Decision Center Monte Carlo and select the scenario you created.
  3. View the Monte Carlo legacy report or the Decision Center Monte Carlo using the original Base Facts and compare the results. By comparing these results with the created scenario, you can demonstrate to the client the financial risks of a premature death.

Monte Carlo Affects Mortality

Do you currently use Monte Carlo Affects Mortality setting to assess longevity risk in eMoney? Due to low usage and lack of transparent results, we are discontinuing this option under the Miscellaneous Assumptions in the Advanced Facts on November 20.

The lack of transparent results made it difficult for advisors to determine the assessed longevity and adequately convey the results to clients. We plan to build a more innovative way to present this information in the future.

Questions? Give us a call at 888-362-8482 or send us an email.