Standard Deviation Returns Calculator

Analyze returns with flexible inputs and settings. View deviation, variance, averages, extremes, and annualized volatility. Export clean summaries for audits, reporting, teaching, and reviews.

Calculator Inputs

Use values like 2.4, -1.1, and 3.2 in percent mode. Use values like 0.024, -0.011, and 0.032 in decimal mode.

Example Data Table

Period Return (%) Comment
January2.4Strong opening month
February-1.1Moderate pullback
March3.2Recovery and momentum
April0.8Stable advance
May-0.5Short-lived weakness
June1.9Positive close
July2.7Strong performance
August-1.8Higher volatility
September1.4Measured rebound
October0.9Balanced month
November-0.7Minor drawdown
December2.1Year-end strength

This sample lets you test the calculator quickly. Click “Load Example Data” to fill the form with these values.

Formula Used

Mean Return

Mean = (Sum of all returns) / n

Sample Standard Deviation

s = √[ Σ(Rᵢ − R̄)² / (n − 1) ]

Population Standard Deviation

σ = √[ Σ(Rᵢ − μ)² / n ]

Variance

Variance = (Standard Deviation)²

Annualized Volatility

Annualized Volatility = Periodic Standard Deviation × √(Periods Per Year)

Sharpe Ratio

Sharpe Ratio = (Mean Return − Target Return) / Standard Deviation

The calculator converts percent inputs to decimals before computation. Final display values are shown in percentage form for easier interpretation.

How to Use This Calculator

  1. Enter a portfolio or return series name for reporting clarity.
  2. Select whether your values are percentages or decimals.
  3. Choose sample or population deviation, depending on your dataset.
  4. Set periods per year to match monthly, weekly, daily, or custom returns.
  5. Enter any target or risk-free return per period, if needed.
  6. Paste return values into the input box using lines, commas, spaces, or semicolons.
  7. Click the calculate button to display results above the form.
  8. Download CSV for spreadsheets or PDF for sharing and documentation.

Frequently Asked Questions

1. What does standard deviation of returns measure?

It measures how far returns typically move from their average value. A higher standard deviation means returns are less stable and more volatile across the measured periods.

2. When should I use sample instead of population deviation?

Use sample deviation when your dataset is only part of a larger process, such as recent monthly returns. Use population deviation when your list contains the entire set you want analyzed.

3. Should I enter returns as percentages or decimals?

Choose the mode that matches your source data. Enter 2.5 for 2.5% in percent mode. Enter 0.025 for the same return in decimal mode.

4. What is annualized volatility?

Annualized volatility scales periodic standard deviation to a yearly basis. It helps compare return risk across datasets that use different time frequencies, such as monthly and daily returns.

5. Why is variance also shown?

Variance is the squared form of standard deviation. Analysts often use it in risk models, optimization work, and statistical comparisons before converting back to standard deviation.

6. What does downside deviation tell me?

Downside deviation measures harmful volatility only, based on returns below the selected target. It is useful when you care more about shortfalls than upside movement.

7. Can I use this for stocks, funds, or portfolios?

Yes. You can analyze any consistent return series, including stocks, mutual funds, ETFs, strategies, or model portfolios, as long as all returns use the same period length.

8. Why does the Sharpe ratio become undefined sometimes?

If standard deviation is zero, all returns are identical and the Sharpe ratio cannot divide by volatility. In that case, the result is mathematically undefined.

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Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.