Continuous Compounding: A = Pe^(rt)
Problem
Compare discrete compounding A = P(1 + r/n)^(nt) with continuous A = Pe^(rt) for $1,000 at 10% for 5 years, as n increases.
Explanation
The idea
Compounding more frequently gives more growth, but the gain flattens out as . The limit is continuous compounding:
where is Euler's number. This is the theoretical "max speed" for a given annual rate.
Why the limit is
Start from discrete compounding . Let , so and :
As , , and . So .
Step-by-step comparison
Setup: , , .
Compute for several :
Annually ():
Quarterly ():
Monthly ():
Daily ():
Continuous:
The jump from annual to daily is ~0.06. The curve flattens fast past daily.
Rearrangements
Given any three of you can solve for the fourth:
- (present value)
- (time to a target)
- (required rate)
These are the log-rate versions, convenient for analytical work.
Where continuous compounding lives
- Derivative pricing (Black–Scholes, options): quote rates as continuously compounded.
- Physics-style growth/decay: radioactive decay, population models, Newton's law of cooling.
- Effective-rate conversions: convert any compounding convention to continuous and back.
Converting between conventions
Discrete nominal rate compounded times per year ⟷ continuous rate :
For small rates these are nearly equal; for large rates they diverge meaningfully.
Common mistakes
- Using instead of . The exponent is the rate times time, not the rate alone.
- Confusing continuous rates with APY. APY = effective annual yield; continuous rate is a different convention, related by .
- Thinking continuous always crushes monthly. Over a 30-year horizon at 6%, monthly continuous to within 0.1%. The extra is often negligible.
Try it in the visualization
A growth-factor curve shows approaching from below as increases. A side panel prints the dollar values so you can see the shrinking gap.
Interactive Visualization
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