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Monte Carlo Pension Calculator
spec = ({
// vega-lite
width: 500,
height: 350,
mark: { type: "bar", tooltip: true },
encoding: {
x: {
bin: { step: 20000 },
field: "retirement_fund_value",
type: "quantitative",
scale: { zero: true },
axis: {
format: "s",
labelFontSize: 30,
titleFontSize: 30,
values: [0.5e6, 0.75e6, 1e6, 2e6]
}
},
y: {
aggregate: "count",
title: "count of simulations",
scale: { nice: false },
axis: { gridOpacity: 0.3, format: ",.0f", nice: false }
},
order: color ? { field: "simulation_in" } : { sort: "ascending" },
color: color
? {
field: "simulation_in",
type: "nominal",
legend: false
}
: {}
},
data: { name: "data" },
datasets: { data: [] }
})
input_cursors = [
{
random_seed_in,
age_0_in: 30,
fund_value_0_in: 0,
retirement_age_in: 65,
missed_contribution_age_in: 0,
salary_age_0_in: 30,
salary_0_in: 30000,
salary_inflation_rate_in: 0.02,
empee_contribution_rate_in: 0.1,
emper_matching_rate_in: 1,
contribution_charge_rate_in: 0.1,
management_charge_rate_in: 0.01,
unit_growth_rate_std_dev_in,
unit_growth_rate_mean_in
}
]
data_source = calcudata2({
$schema: "https://vega.github.io/schema/vega-lite/v5.json",
models: [model],
spec,
domains: {
simulation_in: _.range(0, num_simulations, 1)
},
input_cursors
})
updates = {
input_cursors;
viz.data("data", data_source).resize().run();
}
model = require(`https://calculang.dev/models/taxes-pensions/monte-carlo-pension-calculator.js`)
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