Retirement
Simulate a dynamic retirement-spending strategy
Projects retirement spending under a chosen dynamic-withdrawal rule across Monte Carlo market paths, reporting the year-by-year spending distribution, success probability, spending volatility, and ending-balance percentiles. Strategies: fixed_real (constant real, the "4% rule"), fixed_pct (percent of current balance), guardrails (Guyton-Klinger), vpw (Variable Percentage Withdrawal), and floor_and_ceiling. Shares the Monte Carlo return model and deterministic RNG. Calculation engine output, not financial advice. Deterministic given a seed.
post/v1/retirement/withdrawal-strategy
Request
- Base URL: https://api.numeratica.com
- URL: https://api.numeratica.com/v1/retirement/withdrawal-strategy
- Auth: one of:
- HTTP bearer
- API key in header X-API-Key
Request body
Example request
{
"annual_fee_rate": 0.01,
"current_age": 65,
"end_age": 95,
"current_balance": 1000000,
"initial_rate": 0.04,
"strategy": "guardrails",
"expected_return": 0.05,
"return_volatility": 0.12,
"inflation": 0.02
}Response
Dynamic-withdrawal projection
Example response
{
"result_id": "wds_1a2b3c4d5e6f7a8b",
"engine_version": "withdrawal-strategy-1.0.0",
"inputs": {
"annual_fee_rate": 0.01,
"current_age": 65,
"end_age": 95,
"current_balance": 1000000,
"initial_rate": 0.04,
"strategy": "guardrails",
"expected_return": 0.05,
"return_volatility": 0.12,
"inflation": 0.02
}
}Changes
No recorded changes to this operation across all 1 revision of this API.