[05] When to Pull the Trigger on FIRE - Monte Carlo Says You're Already Free

It looks like you're working on a financial simulation tool for evaluating retirement sustainability. The code snippet provided is part of a larger script that simulates various scenarios to determine the impact of different variables (like expenses, side income, dividend growth rate, loan balance, and market volatility) on the survival rate of a retiree's finances.

To complete this sensitivity analysis function, you need to:

1. Run simulations with overridden parameters for each test case.
2. Compare the results against the base case simulation.
3. Print out the findings in a readable format.

Here’s how you can implement these steps:

Step-by-Step Implementation

1. Import Necessary Modules

Ensure that all necessary modules are imported at the beginning of your script:

python
 
1from dataclasses import dataclass, asdict
2import pandas as pd

2. Define the Simulation Function (if not already defined)

You need a function run_simulation which takes parameters and returns survival statistics.

Assuming you have this function defined elsewhere in your codebase:

python
 
1def run_simulation(params):
2    # Simulate retirement based on given parameters
3    # Return survival rate, median age of death, etc.
4
5[Read the full article at DEV Community](https://dev.to/soytuber/05-when-to-pull-the-trigger-on-fire-monte-carlo-says-youre-already-free-1h26)
6
7---
8
9**Want to create content about this topic?** [Use Nemati AI tools](https://nemati.ai) to generate articles, social posts, and more.