# 401k Simulation Using Analytic Solver Platform

You can build a pretty decent 401k simulation in a few minutes in Excel using Analytic Solver Platform:

Let’s give it a shot! You can download the completed workbook here.

First, let’s build a worksheet that calculates 401k balances for 10 years. At the top of the worksheet let’s enter a yearly contribution rate:

Let’s compute 401k balances for the next 10 years, based on this contribution. A simple calculation for the balance for a given year involves five factors:

1. The 401k balance for the previous year.
2. The rate of return for the 401k.
3. The previous year’s salary.
4. The rate of increase in the salary (your raise).
5. The rate of contribution (entered above).

In row 6 we will enter in the starting values for return, salary increase, balance, and salary in columns B, C, D, E respectively. For now let’s assume:

• Return = 0.05
• Salary Increase = 0.05
• Balance = 5,000
• Salary = 100,000

With a couple of small assumptions, the new balance is old balance * return + contribution * (salary * (1 + salary increase)). In the next row we will compute Year 1, using this formula:

• Salary = D6 * (1 + C6). This simply means that this year’s salary is last year’s adjusted by raise. (Obviously salary could be modeled differently depending on when the raise kicks in.)
• Balance = E6*(1 + B6)+D6*\$B\$3. There are two terms. The first is the old balance times the portfolio return. The second is the current salary times the contribution rate.

We can fill these values down, giving us the 401k balance for the entire period:

Here’s the thing: we don’t actually know what our portfolio return and salary increases will be in future years. They’re uncertain. We can use Analytic Solver Platform to turn the wild guesses in columns B and C into probability distributions. Using simulation we can then determine the most likely range for future 401k balances.

For portfolio return, a reasonable thing to do is to go back and look at past performance. Rates of return for the S&P 500 (and other financial instruments) are given on this page. Using the “From Web” feature of Power Query (or by simply copy-pasting) you can bring this data into another Excel worksheet with no sweat:

Now let’s turn this historical data into a probability distribution we can use in our model. Select the S&P 500 historical return data and select Distibutions –> Distribution Wizard in the Analytic Solver Platform tab:

Fill in the first page of the wizard:

Select “continuous values” in the next step, “Fit the data” in the next, and then pick an empty cell for “Location” in the final step. In the cell that you selected, you will see a formula something like this:

=PsiWeibull(3.55593208704872,0.692234009779183, PsiShift(-0.509633992648591))

This is a Weibull distribution that fits the historical data. If you hit “F9” to recalculate the spreadsheet you will see that the value for this cell changes as a result of sampling from this distribution. Each sample is a different plausible yearly return. Let’s copy this formula in place of the 0.05 values we entered in column B of our original spreadsheet. If we click on the “Model” button in the Analytic Solver Platform ribbon, we will see that these cells have been labeled as “Uncertain Variables” in the Simulation section.

For Salary Increase we will do something simpler. Let’s just assume that the increase will be between 2% and 7% each year. Enter =PsiUniform(0.02, 0.07) in cell C6, and fill down.

The last thing we need to do is to define an “output” for the simulation, called an Uncertain Function. When we define Uncertain Functions, we get nice charts and stats for these cells when we run a simulation. Click on the Balance entry for Year 10, then click on arrow next to the “+” in the Model Pane, and then Add Uncertain Function. Your Model Pane will look something like this: