This function uses the Milevsky-Robinson to analyse the probability of retirement ruin, by parsimoniously meshing investment risk and return, mortality estimates and spending rates without resorting to opaque Monte Carlo simulations. For further details, see: Milevsky, M. and C. Robinson; "A Sustainable Spending Rate without Simulation"; Financial Analysts Journal, Volume 61, Number 6. (2005). Please note that these are approximations, so do not rely on them for financial returns or planning.

probability_ruin(
  return_expected,
  return_sd,
  life_remaining_expected,
  rate_spend
)

Arguments

return_expected

The expected real return of the entire pension portfolio

return_sd

The projected standard deviation of the returns of the entire pension portfolio

life_remaining_expected

The median projected remaining lifespan of the individual in question

rate_spend

The annual spending rate applied by the individual to their pension portfolio

Examples

probability_ruin(
  return_expected = 0.07, 
  return_sd = 0.2, 
  life_remaining_expected = 28.1, 
  rate_spend = 0.05
  )
#> [1] 0.267855