# Risk-Adjusted Return Calculator

Calculate Sharpe, Sortino, Treynor, Jensen Alpha, and Information ratios to evaluate risk-adjusted portfolio performance.

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- **Canonical URL:** https://dothecalculation.com/calculators/risk-adjusted-return-calculator
- **Category:** Financial calculators
- **Publisher:** Do The Calculation (https://dothecalculation.com)
- **Cost:** Free, no account or sign-up required
- **Privacy:** Runs entirely in the browser; inputs are never sent to a server
- **Methodology:** https://dothecalculation.com/methodology

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## Risk-Adjusted Return Calculator — Sharpe, Sortino, Treynor, Alpha & More

Evaluate investment portfolio efficiency by calculating Sharpe, Sortino, and Treynor ratios, along with Jensen's Alpha and Information Ratio, in one workspace.

- Sharpe & Sortino volatility metrics
- Treynor systematic risk metrics
- Jensen's Alpha & Information Ratio benchmark indicators

## Why Risk-Adjusted Return Matters

Evaluating investment performance solely by raw percentage return is incomplete. A portfolio that gains 15% with massive volatility and drawdown exposure may be less efficient than a portfolio that gains 12% with steady, low-risk growth.

Risk-adjusted return metrics standardize investment returns by factoring in risk (either total volatility, downside volatility, or systematic market risk), allowing analysts to compare different portfolios or asset managers fairly.

## How to Use This Calculator

Enter your portfolio's return and the risk-free rate (typically a short-term Treasury yield), then supply whichever risk figures you have available: standard deviation and downside deviation for the volatility-based ratios, and beta, benchmark return, and tracking error for the market-relative metrics.

You don't need every input filled with precision to get useful output — each metric only depends on a subset of the fields, so you can compute a Sharpe ratio with just return, risk-free rate, and standard deviation even before you have beta or tracking error data.

## Worked Example: A 12.5% Return Portfolio

A portfolio returning 12.5%, a 4.0% risk-free rate, 15.0% standard deviation, 10.0% downside deviation, a beta of 1.1, a 10.0% benchmark return, and 3.5% tracking error.

Excess return: 12.5% − 4.0% = 8.5%.

Sharpe ratio: 8.5 ÷ 15.0 ≈ 0.57.

Sortino ratio: 8.5 ÷ 10.0 = 0.85.

Treynor ratio: 8.5 ÷ 1.1 ≈ 7.73.

Jensen's Alpha: 12.5% − [4.0% + 1.1 × (10.0% − 4.0%)] = 12.5% − 10.6% = 1.9%.

Information ratio: (12.5% − 10.0%) ÷ 3.5% ≈ 0.71.

Taken together: a Sharpe of 0.57 is modest (below the 1.0 threshold generally considered good), but the positive 1.9% Jensen's Alpha shows the manager still beat what CAPM would predict for a portfolio carrying this much systematic risk — illustrating why looking at only one ratio can give an incomplete picture.

## Total Volatility Metrics: Sharpe and Sortino Ratios

The Sharpe and Sortino ratios measure excess return per unit of portfolio volatility.

**Sharpe Ratio**: Standardizes excess return by the portfolio's total risk (standard deviation):

$$\text{Sharpe Ratio} = \frac{R_p - R_f}{\sigma_p}$$

Where \(R_p\) is the portfolio return, \(R_f\) is the risk-free rate, and \(\sigma_p\) is the standard deviation of portfolio returns.

**Sortino Ratio**: Standardizes excess return by downside deviation (ignoring positive volatility since investors only fear losses):

$$\text{Sortino Ratio} = \frac{R_p - R_f}{\sigma_{d}}$$

Where \(\sigma_d\) is the downside standard deviation (semi-standard deviation of negative excess returns).

## Systematic Risk and Alpha: Treynor and Jensen's Alpha

These metrics relate portfolio performance to systematic market risk (Beta).

**Treynor Ratio**: Measures excess return per unit of systematic risk:

$$\text{Treynor Ratio} = \frac{R_p - R_f}{\beta_p}$$

Where \(\beta_p\) is the portfolio Beta, representing its sensitivity to market movements.

**Jensen's Alpha (\(\alpha\))**: Measures the portfolio's excess return above what is predicted by the Capital Asset Pricing Model (CAPM):

$$\alpha = R_p - [R_f + \beta_p (R_m - R_f)]$$

Where \(R_m\) is the benchmark market return. A positive Alpha indicates the portfolio manager has generated excess return through active selection.

## Active Performance: Information Ratio

The **Information Ratio** measures active return relative to a benchmark per unit of active risk (tracking error):

$$\text{Information Ratio} = \frac{R_p - R_b}{\text{Tracking Error}}$$

Where \(R_b\) is the benchmark return, and tracking error is the standard deviation of the differences between portfolio and benchmark returns.

## Which Ratio Should You Trust Most?

No single ratio tells the whole story, which is exactly why this calculator computes all five at once. Sharpe is the most widely quoted and easiest to compare across asset classes, but it penalizes upside volatility just as much as downside — a portfolio with occasional large gains can show a lower Sharpe ratio than one with steady, unremarkable returns. Sortino corrects for that by only counting downside volatility, making it more representative for return streams that are asymmetric (skewed toward large gains, small losses, or vice versa).

Treynor and Jensen's Alpha only make sense for a diversified portfolio, since both rely on beta, which specifically measures sensitivity to market-wide (systematic) risk and ignores risk that's specific to a single holding. For a concentrated or undiversified portfolio, standard deviation-based metrics (Sharpe, Sortino) are more appropriate. The Information Ratio stands apart from the other four — it's the right tool specifically for judging an active manager or strategy against its stated benchmark, not for evaluating a portfolio in isolation.

## Using These Ratios to Compare Two Funds

The real practical value of risk-adjusted return metrics shows up when comparing two investments with different raw returns and different risk levels — exactly the situation where "which one performed better" isn't obvious from return alone. A fund returning 15% with a Sharpe ratio of 0.6 has technically taken on more risk per unit of reward than a fund returning 11% with a Sharpe ratio of 1.1; the second fund delivered more return for the volatility an investor had to tolerate, even though its headline number looks smaller. Running both funds' figures through this calculator side by side turns "which fund had the better year" into "which fund was actually more efficient," which is the more useful question for long-term portfolio decisions.

## A Caution About Historical Ratios

Every one of these metrics is backward-looking — they describe how a portfolio or fund performed over a specific historical period, not how it will perform going forward. A high historical Sharpe ratio built during a calm market can look very different once volatility returns, and a manager's Jensen's Alpha from a strong bull run doesn't guarantee the same skill in a downturn. Use these ratios to compare like-for-like historical performance and to sanity-check whether a return was earned efficiently, not as a guarantee of future results.

## Related Calculators

Get the raw annualized growth rate behind this return with the [CAGR calculator](/calculators/cagr-calculator), or estimate the fair value of an options position feeding into this portfolio with the [Black-Scholes calculator](/calculators/option-pricing-black-scholes-calculator).

## Frequently asked questions

### What is a good Sharpe Ratio?

A Sharpe ratio above 1.0 is considered good, as it indicates the portfolio generates excess return relative to its volatility. A ratio above 2.0 is very good, and above 3.0 is excellent.

### Why is the Sortino ratio preferred for asymmetric returns?

The Sortino ratio only penalizes downside volatility. If a portfolio has large positive spikes (which increases standard deviation but benefits the investor), the Sharpe ratio falls, while the Sortino ratio remains high.

### What is Beta in finance?

Beta measures a portfolio's sensitivity to market movements. A Beta of 1.0 means the portfolio moves in sync with the market. A Beta of 1.5 means it is 50% more volatile than the market.

### How is Jensen's Alpha interpreted?

A positive Alpha (e.g., +2.0%) means the portfolio outperformed its risk-adjusted benchmark by 2.0%. A negative Alpha means it underperformed relative to the risk assumed.

### What is risk-free rate?

The risk-free rate is the rate of return on an investment with no risk of default, standardly represented by US Treasury bill yields.

### What is standard deviation in portfolio returns?

Standard deviation measures the dispersion of returns from the mean. A higher standard deviation indicates greater historic price volatility.

### What is tracking error?

Tracking error measures the volatility of the excess returns of a portfolio relative to its benchmark, indicating how closely the portfolio mirrors the index.

### How does risk-adjusted return help in diversification?

It helps identify assets that add return without increasing total portfolio risk, improving the portfolio's overall efficiency (moving it toward the efficient frontier).

### What is downside deviation?

Downside deviation is a variation of standard deviation that only measures the volatility of returns that fall below a minimum acceptable return or risk-free rate.

### What is the Information Ratio used for?

The Information Ratio is used to evaluate active fund managers, measuring their ability to consistently beat a benchmark relative to the active risk they take.

### Can these ratios be negative?

Yes. A negative Sharpe, Sortino, or Treynor ratio means the portfolio returned less than the risk-free rate — you would have been better off holding risk-free Treasury bills instead of taking on the portfolio's risk.

### Why might Sharpe and Sortino give very different results for the same portfolio?

A large gap usually means the portfolio's volatility is skewed — mostly upside swings inflate standard deviation without hurting the investor, which drags Sharpe down while Sortino (which only counts downside moves) stays higher.

### Do I need all seven inputs to get useful results?

No. Each ratio only uses a subset of the inputs, so you can compute the Sharpe ratio from just portfolio return, risk-free rate, and standard deviation even without beta or tracking error data.

### How far back should I calculate standard deviation and beta?

There is no single correct window, but 3 to 5 years of monthly returns is a common standard for balancing enough data to be statistically meaningful against staying relevant to current market conditions.

### Should I use these ratios to pick between two very different asset classes?

Use caution — Sharpe and Sortino compare reasonably well across asset classes since they use total or downside volatility, but Treynor and Jensen's Alpha rely on beta relative to a specific benchmark, which is less meaningful when comparing assets that don't share a comparable market index.

## Related concepts

- **Sharpe Ratio** — Excess return divided by total portfolio return volatility.
- **Sortino Ratio** — Excess return divided by downside portfolio return volatility.
- **Jensen's Alpha** — The active outperformance of a portfolio relative to CAPM expectations.
- **Treynor Ratio** — Excess return divided by beta, isolating reward per unit of systematic market risk.
- **Information Ratio** — Active return over a benchmark divided by tracking error — a measure of manager skill.
- **CAPM** — The Capital Asset Pricing Model, which predicts expected return based on risk-free rate, beta, and market return.

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