Beating the S&P 500 by taking more risk is not skill, and trailing it with much less risk is not failure. Here is how to measure risk-adjusted outperformance, with a worked example from real backtests.
Market risk reading, cross‑asset context and an events calendar: see Exent →
It means you earned more return for each unit of risk you took than the market did. Risk usually means volatility (how much returns swing) or drawdown (how far the portfolio fell from a peak). An investor who matched the S&P 500’s return with half its swings beat it on a risk-adjusted basis. An investor who beat it by 2 points a year with twice its swings probably did not.
Why it matters: anyone can raise expected return by taking more risk, for example by holding more volatile stocks or using leverage. Risk-adjusted measures separate that from genuine edge. They also tell you whether the portfolio you hold is one you can live with in the next crash.
| Measure | What it asks | Beat the market if… |
|---|---|---|
| Sharpe ratio | Return above cash per unit of total volatility | Yours is higher than the index’s over the same dates |
| Sortino ratio | Return above cash per unit of downside volatility only | Yours is higher; useful when gains are lumpy |
| Calmar ratio | Annual return per unit of maximum drawdown | Yours is higher; focuses on the worst fall |
| Alpha | Return beyond what your market exposure (beta) explains | It is positive after fees |
| Risk-matched benchmark | What an index mix with your volatility earned | Your return is higher than that mix |
| Information ratio | Excess return over the benchmark per unit of tracking error | It is positive, and consistently so |
For most individual investors, two are enough: the Sharpe ratio against the S&P 500, and return against a risk-matched benchmark. Add maximum drawdown, because it is the number that decides whether people sell at the bottom.
Exent’s strategy backtests cover July 2016 to September 2026, monthly, with dividends. They are hypothetical and ignore taxes, but they show clearly how return and risk-adjusted return can disagree.
| Backtest (Jul 2016–Sep 2026) | Annual return | Volatility | Sharpe | Max drawdown | Risk-adjusted vs S&P 500 |
|---|---|---|---|---|---|
| S&P 500 (SPY) | 15.2% | 15.2% | 0.88 | 23.9% | Baseline |
| Nasdaq-100 (QQQ) | 21.5% | 18.8% | 1.03 | 32.6% | Beat on Sharpe, deeper drawdown |
| Momentum (MTUM) | 16.2% | 18.0% | 0.81 | 30.2% | Higher return, lower Sharpe |
| Quality (QUAL) | 14.2% | 15.5% | 0.81 | 27.8% | Lower on both |
| 60/40 stocks and bonds | 9.5% | 10.1% | 0.75 | 20.0% | Less risk, but lower Sharpe |
| Minimum volatility (USMV) | 9.4% | 12.2% | 0.63 | 19.1% | Less risk, lower Sharpe |
Momentum is the instructive case. It beat the S&P 500 by a point a year, so on a raw-return league table it “won”. But it took 18% volatility to do it. Multiplying each Sharpe ratio by 18% gives the excess return over cash each would earn at that level of risk: about 15.8 points for the S&P 500 and 14.6 for momentum. Scaled up to the same risk, the plain index would have earned roughly 1.3 points a year more (15.84 − 14.58). Risk-adjusted, momentum lost.
The Nasdaq-100 is the opposite. Its Sharpe ratio of 1.03 beat the index’s 0.88, so it earned more per unit of volatility over this period. It also fell 32.6% at its worst, so the Calmar view is less flattering. One measure rarely settles the question.
Lower risk is not automatically a win either. The 60/40 mix and the minimum-volatility fund fell less, but in this decade their Sharpe ratios were below the index’s. Lower volatility was paid for with more return than it saved.
Blend the index with cash until the blend has the same volatility as your portfolio, then compare returns. If your portfolio is less volatile than the index, the blend holds some cash; if it is more volatile, the blend is levered. The formula for the stock weight is your volatility divided by the index’s volatility.
Illustrative example, not a real account:
| Illustrative | Value |
|---|---|
| Your portfolio: annual return / volatility | 11.0% / 12.0% |
| S&P 500: annual return / volatility | 15.2% / 15.2% |
| Cash return (assumed) | 2.0% |
| Benchmark stock weight = 12.0 ÷ 15.2 | 79% S&P 500 + 21% cash |
| Benchmark return = 0.79 × 15.2% + 0.21 × 2.0% | 12.4% |
| Your result vs the risk-matched benchmark | −1.4 points a year |
This investor trailed the S&P 500 by 4.2 points, but most of that gap came from taking less risk. The fair verdict is a 1.4 point shortfall, which is the part worth investigating.
Alpha is your return minus the return your market exposure alone would have produced. The standard version is: alpha = your return − [cash return + beta × (index return − cash return)], where beta measures how much your portfolio moves with the index.
Illustrative example: you returned 16% in a year when the index returned 15% and cash 2%. Your beta was 1.2. Your expected return was 2% + 1.2 × 13% = 17.6%, so your alpha was −1.6%. You beat the index and still had negative alpha, because a portfolio that moves 1.2 times as much as the market should beat it in a rising year. See alpha vs beta.
You can do it in a spreadsheet with monthly returns for your portfolio and the index. The steps are in how to calculate your portfolio return. Compare your Sharpe ratio and maximum drawdown with a risk-matched benchmark, not only your raw return with the index. Related reading: can you beat the market with less risk? and the portfolio optimization guide.
Compare your Sharpe ratio with the S&P 500’s over exactly the same dates, using monthly time-weighted returns after fees. A cross-check is to compare your return with an index-and-cash mix that has the same volatility as your portfolio.
One higher than the index’s over the same period. In Exent’s backtest from July 2016 to September 2026 the S&P 500’s Sharpe ratio was 0.88, but the figure changes with the period, so always compare like for like.
No. Beating the market means a higher return than the index. Alpha means a higher return than your market exposure explains; a high-beta portfolio can beat the index in a rising year and still have negative alpha.
On a risk-adjusted basis, yes. If your return is lower but your risk is much lower, you can beat a risk-matched benchmark and have a higher Sharpe ratio than the index.
At least three years of monthly returns, and ideally a full market cycle that includes a significant decline. Shorter windows mostly measure luck.
Market intel provides a Risk ON / Neutral / Risk OFF reading from four pillars, cross-asset analysis, an events calendar and regular written notes. Context for reviewing a plan, not a crash forecast.
Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.