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Downside Volatility Calculator

Downside deviation measures the size of returns falling below a chosen target while giving no penalty to observations above it. This calculator accepts periodic percentage returns, a target for the same period, and a number of periods per year. It is useful for comparing downside variation under one clearly defined convention. The browser-local calculation divides squared shortfalls by all observations, including those without a shortfall. It does not download a price history, infer return frequency, or select an annualization factor from the dates of your data.

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Use all observations in the denominator

For each periodic return r and target t, calculate min(r − t, 0). Square those shortfalls, sum them, divide by the total observation count, and take the square root. Annualized downside deviation equals periodic downside deviation × sqrt(periods per year). Percentage inputs must be converted consistently to decimal returns during arithmetic. The target is per period; an annual target cannot be inserted directly into a field that expects a monthly or daily target.

Calculate a four-month example

For hypothetical monthly returns of 2%, −1%, 3%, and −2%, with a zero target, shortfalls are 0%, −1%, 0%, and −2%. Squared decimal shortfalls sum to 0.0005. Dividing by all four observations gives 0.000125, whose square root is approximately 1.1180% per month. Multiplying by sqrt(12) produces about 3.8730% annualized downside deviation under this convention.

Compare only matching conventions and periods

Dividing by only the negative observations would produce a different statistic. Keep the denominator convention, target, observation frequency, and annualization factor consistent when comparing portfolios. Missing periods should not silently become zero returns. If no return falls below the target, downside deviation is zero. The square-root annualization is a scaling convention that does not model serial dependence, changing volatility, or the severity of losses outside the observed sample.

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