How do I simulate a VaR estimate?

Open this page and use the live Dividend Growth Model tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive a VaR estimate from your own measurements.

Use case · powered by Dividend Growth Model

Dividend Growth Model for a VaR estimate

Simulate a VaR estimate live in your browser. This runs the real Dividend Growth Model solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

For:Students Researchers Educators Engineers Hobbyists & Makers K-12 Students First Responders

Compound Interest

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Compound Interest & InvestingLive

the eighth wonder

Controls

Presets

Starting amount ($)

Monthly contribution ($)

Annual return

Years

Compounding means earning returns on your past returns, so growth accelerates over time. The gap between the balance line and your total contributions is pure compound interest — and it widens dramatically in the final years. Educational tool, not investment advice.

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Data Inspector

Final balance$691,150

Total contributed$190,000

Interest earned$501,150

Governing equation

A = 10, 000 (1 + \frac{0.070}{12})^{360} + 500 \cdot \frac{( 1 + \frac{0.070}{12} ) ^{360} - 1}{0.00583} = $691, 150

Reading this result: Rule of 72: at 7.0% a year, money roughly doubles every 10.3 years — about 2 doublings across your 30-year horizon. Each $500/mo contribution then earns returns on its own past returns, so the balance curve pulls away from your flat contribution line. Because compounding is exponential, most of the $501,150 in interest is created in the final years — time in the market matters far more than the amount. Educational tool, not investment advice.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Bond Pricing

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Bond Pricing & DurationLive

price · yield · interest-rate risk

Controls

Presets

Face value ($)

Coupon rate

Yield to maturity

Years to maturity

A bond's price is the present value of its coupons and face value, discounted at the yield. Price moves inversely to yield along a convex curve. Duration measures that sensitivity — a modified duration of 8 means roughly an 8% price drop per 1% rise in yield. Educational tool, not investment advice.

▶ Run in Python

Data Inspector

Price$1081.76

Premium/discountpremium

Macaulay duration8.08 yr

Modified duration7.92

Governing equation

P = t = 1 \sum 20 \frac{25.00}{( 1 + 0.0200 ) ^{t}} + \frac{1000}{( 1 + 0.0200 ) ^{20}} = $1081.76

Reading this result: The coupon beats the 4.0% yield, so the bond sells at a premium — about 8.2% over par — and its 7.9 modified duration is the % price drop per +1% yield.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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About this simulation

The full Dividend Growth Model tool models a VaR estimate with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

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Other ways to simulate a VaR estimate

Black-Scholes for a VaR estimate Option Payoff for a VaR estimate Monte Carlo (GBM) for a VaR estimate Efficient Frontier for a VaR estimate Value at Risk for a VaR estimate Bond Pricing for a VaR estimate

Frequently asked questions

How do I simulate a VaR estimate?: Open this page and use the live Dividend Growth Model tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive a VaR estimate from your own measurements.