What Is Risk-Adjusted Return?
Risk-adjusted return is a measure of investment performance that accounts for the amount of risk taken to achieve a given level of return — expressing not merely what an investment earned but how much was earned per unit of risk assumed, enabling meaningful comparison between portfolios or securities with fundamentally different risk profiles that would be incomparable on the basis of raw return alone. The foundational insight underlying risk-adjusted return measurement is that two investments earning identical nominal returns are not equally attractive if one achieved that return with substantially more risk than the other — the higher-risk investment must earn proportionately higher returns to justify the additional uncertainty imposed on the investor. Four primary risk-adjusted performance measures — the Sharpe ratio, the Treynor ratio, Jensen’s alpha, and the information ratio — each approach the measurement of return per unit of risk from a different analytical perspective, using different measures of risk in the denominator and different benchmark frameworks, and all four are tested on the Series 65 examination.
Why Raw Return Is an Insufficient Performance Measure
An investor evaluating two portfolio managers on the basis of absolute returns alone — Manager A earned fifteen percent and Manager B earned twelve percent last year — would conclude that Manager A performed better. But if Manager A achieved fifteen percent by concentrating the portfolio in a handful of speculative small-cap stocks with a standard deviation of thirty percent, while Manager B achieved twelve percent through a diversified strategy with a standard deviation of eight percent, the raw return comparison is deeply misleading. Manager A took nearly four times as much risk as Manager B to generate only twenty-five percent more return — on a risk-adjusted basis, Manager B may have delivered substantially superior results.
This limitation of raw return comparison is the reason risk-adjusted performance measures were developed — to provide a framework that rewards managers who generate the same return with less risk, or higher return with the same risk, and that penalises managers who take excessive risk that is not justified by commensurate return.
Under the fiduciary duty of the Investment Advisers Act of 1940, which binds investment advisers, and the care obligation of Regulation Best Interest at 17 CFR 240.15l-1, which binds broker-dealers and their associated persons when they recommend a securities transaction or investment strategy to a retail customer, an investment adviser evaluating portfolio management decisions and a broker-dealer recommending an investment strategy to a retail customer must each weigh the risk taken to earn a return rather than raw return alone — the adviser’s duty of care calls for a reasonable belief that its advice is in the client’s best interest, considering whether the client can and is willing to tolerate the risks of the investments recommended, and recommending a high-return strategy without assessing the risk required to achieve that return may fail the broker-dealer care obligation’s requirement to exercise reasonable diligence in understanding the potential risks of any recommended strategy.
The Sharpe Ratio — Excess Return Per Unit of Total Risk
The Sharpe ratio — developed by Nobel laureate William F. Sharpe in 1966 and published in the Journal of Business as a measure of mutual fund performance — is the most widely used risk-adjusted performance metric in investment management. It measures the excess return earned above the risk-free rate per unit of total portfolio risk, expressed as standard deviation of returns.
Sharpe ratio equals the portfolio return minus the risk-free rate, divided by the standard deviation of portfolio returns.
The numerator — portfolio return minus the risk-free rate — is the risk premium. It measures how much above the risk-free rate the portfolio earned — the compensation the investor received for taking investment risk rather than holding risk-free assets. Subtracting the risk-free rate is essential because no rational investor should be rewarded for returns that could have been earned without any risk.
The denominator — standard deviation of portfolio returns — is the measure of total risk, capturing both systematic risk arising from broad market movements and unsystematic risk from security-specific factors. Standard deviation is the appropriate risk measure when the portfolio being evaluated represents the investor’s entire invested wealth — in that context all volatility matters, whether it comes from market-wide or company-specific sources.
A higher Sharpe ratio indicates better risk-adjusted performance — the portfolio earned more return per unit of total risk. A Sharpe ratio of one means the portfolio earned one unit of excess return for each unit of standard deviation. A Sharpe ratio of two indicates twice as much excess return per unit of risk — superior risk-adjusted performance. A negative Sharpe ratio — arising when the portfolio return falls below the risk-free rate — indicates the portfolio would have been better off in a risk-free investment.
The Sharpe ratio is most useful when comparing portfolios that are not fully diversified — where unsystematic risk is a meaningful component of total portfolio risk — because the standard deviation denominator captures both systematic and unsystematic risk in the total volatility measure. It is appropriate for evaluating standalone portfolios held in isolation.
What a Historical Sharpe Ratio Can and Cannot Show
William Sharpe’s own restatement of the measure, published in the Journal of Portfolio Management in 1994, draws out several properties that matter whenever a historical Sharpe ratio is used to choose between funds. The first is that the ratio does not depend on the scale of a position financed at the riskless rate. A fund that borrows at the riskless rate to hold twice as much of another fund doubles that fund’s excess return and doubles its standard deviation, and because the two change in the same proportion the leveraged fund’s Sharpe ratio is the same as the original’s — leverage of that kind changes the size of the position, not the excess return earned for each unit of risk.
The second is the ratio’s link to statistical significance. A Sharpe ratio computed from a series of periodic excess returns, multiplied by the square root of the number of returns used, equals the t-statistic that measures the statistical significance of the mean excess return. The same ratio is therefore much stronger evidence when it rests on a long record than on a short one: a monthly ratio of zero point three amounts to a t-statistic of about one over twelve months, but more than two over sixty months.
The third is what the ratio leaves out. Neither the forecast nor the historical Sharpe ratio takes any account of how a fund’s returns are correlated with the investor’s other assets or liabilities, so the fund with the highest ratio taken on its own is not necessarily the best addition to a portfolio the investor already holds, and for that decision the ratio needs to be supplemented. The ratio can also rank funds in a way investors find perverse when excess returns are negative. If two funds have the same negative average excess return, the fund whose returns were more volatile receives the higher, less negative Sharpe ratio, because it lost less per unit of risk — a result consistent with portfolio theory that many retail investors find counterintuitive.
Modigliani Risk-Adjusted Performance — Expressing the Sharpe Ratio in Percentage Points
A Sharpe ratio is a ratio of excess return to standard deviation, not a return, so it cannot be set directly beside the return an investor could have earned in the market. The risk-adjusted performance measure published by Franco Modigliani and Leah Modigliani in the Journal of Portfolio Management in 1997, commonly called M-squared, addresses that difficulty. It adjusts the risk of the portfolio being evaluated so that its standard deviation matches that of the market portfolio, and then states the return the portfolio would have earned at that level of risk. Because the result is a return in percentage points — the ordinary unit in which performance is quoted — it can be compared directly with the market’s own return: a portfolio whose M-squared exceeds the market’s return outperformed the market once risk is equalised, and one whose M-squared falls short of it underperformed.
The measure equals the risk-free rate plus the portfolio’s excess return multiplied by the ratio of the market’s standard deviation to the portfolio’s standard deviation. A portfolio with more risk than the market has its excess return scaled down in proportion, and a portfolio with less risk than the market has its excess return scaled up. In the Modiglianis’ own comparison of mutual funds, a fund whose raw return was higher than the market index’s had an M-squared below the index’s return because it had taken more risk than the index, while a fund with a lower raw return than the index but less risk had an M-squared above it.
Because the portfolio’s excess return divided by its standard deviation is its Sharpe ratio, M-squared is simply the risk-free rate plus the portfolio’s Sharpe ratio multiplied by the market’s standard deviation. For a set of portfolios measured over the same period, the risk-free rate and the market’s standard deviation are the same for every portfolio, so M-squared ranks the portfolios in exactly the order the Sharpe ratio ranks them. What it changes is the unit in which the result is expressed, not the ranking it produces.
The Treynor Ratio — Excess Return Per Unit of Systematic Risk
The Treynor ratio — developed by Jack Treynor in 1965, predating the Sharpe ratio — measures the excess return earned above the risk-free rate per unit of systematic risk, using beta rather than standard deviation as the risk measure.
Treynor ratio equals the portfolio return minus the risk-free rate, divided by the portfolio’s beta.
Beta measures the portfolio’s systematic risk — its sensitivity to movements in the market portfolio — and excludes the unsystematic risk that can be eliminated through diversification. The Treynor ratio is appropriate when the portfolio being evaluated is one component of a larger, diversified investment programme — in that context, only systematic risk matters because unsystematic risk is diversified away at the total portfolio level, and rewarding managers for bearing unsystematic risk would distort the performance assessment.
A higher Treynor ratio indicates better risk-adjusted performance per unit of market risk assumed. Like the Sharpe ratio, the Treynor ratio is a relative ranking tool — it identifies which portfolio earned more excess return per unit of systematic risk but does not indicate whether any specific Treynor ratio level represents adequate compensation in absolute terms.
The key distinction between Sharpe and Treynor is the measure of risk in the denominator — total risk including unsystematic risk for Sharpe, systematic risk only for Treynor. When a portfolio is well-diversified and its unsystematic risk is negligible, Sharpe and Treynor rankings produce similar results. When a portfolio is concentrated and carries significant unsystematic risk, the two measures may produce very different rankings — the Sharpe ratio will penalise the concentrated portfolio’s extra total risk while the Treynor ratio will not.
Jensen’s Alpha — Excess Return Above the CAPM Expected Return
Jensen’s alpha — developed by Michael Jensen in 1968 and published in the Journal of Finance — measures the excess return earned by a portfolio above and beyond what the Capital Asset Pricing Model would predict given the portfolio’s level of systematic risk.
Jensen’s alpha equals the actual portfolio return minus the expected return implied by the CAPM.
The CAPM expected return equals the risk-free rate plus the portfolio’s beta multiplied by the equity risk premium — the market return minus the risk-free rate. The CAPM expected return is the benchmark return that any passive investment strategy with the same beta would have earned — it is the return available to any investor simply by holding the market portfolio with the appropriate leverage or deleverage to match the portfolio’s beta.
Alpha measures the manager’s skill — the additional return earned above the passive benchmark return that can be attributed to active investment decisions rather than to market exposure. A positive alpha means the manager earned more than the market would have delivered for the risk taken — genuine outperformance attributable to skill. A zero alpha means performance exactly matched what a passive strategy would have produced — no value added or destroyed by active management. A negative alpha means the manager underperformed the passive benchmark even on a risk-adjusted basis — value was destroyed.
Alpha has two important advantages over the Sharpe and Treynor ratios. It is an absolute measure — its value can be directly interpreted as the dollars or percentage points of outperformance per year rather than requiring comparison to another portfolio’s ratio. And its sign is immediately interpretable — positive alpha is good, negative alpha is bad, regardless of the magnitude of other measures. Alpha is therefore used both to rank managers and to assess whether any specific manager’s active management is adding value in absolute terms.
The Information Ratio — Consistency of Active Management
The information ratio measures the consistency of active management by comparing the active return — the portfolio return minus the benchmark return — to the tracking error — the standard deviation of the active return over time.
Information ratio equals the portfolio return minus the benchmark return, divided by the tracking error.
The numerator — active return or alpha relative to the benchmark — measures how much the portfolio earned above its designated benchmark. The denominator — tracking error — measures how consistently the portfolio delivered that active return, capturing the volatility of performance differences between the portfolio and its benchmark over rolling periods.
A high information ratio indicates a manager who delivers consistent active returns with low variability of outperformance — the hallmark of a skilled, disciplined active manager with a repeatable process. A low information ratio despite a high average active return indicates a manager whose outperformance is highly variable — sometimes significantly above benchmark, other times significantly below — suggesting that the outperformance may be the result of taking concentrated positions or making inconsistent bets rather than applying a reliably effective investment process.
The information ratio is the performance measure most directly aligned with the evaluation of an active manager’s ability to consistently add value relative to a specific benchmark — making it more useful for institutional manager selection than the Sharpe or Treynor ratios when the investor’s goal is to identify managers who will reliably outperform a designated benchmark rather than to rank absolute risk-adjusted returns.
The Appropriate Measure for Each Context
A critical analytical skill tested on the Series 65 examination is selecting the appropriate risk-adjusted measure for the specific analytical context.
The Sharpe ratio is appropriate when the portfolio represents the investor’s entire wealth — all risk matters, and total risk including unsystematic risk should be measured. It is appropriate for comparing standalone funds where diversification within the fund is the relevant consideration.
The Treynor ratio is appropriate when the portfolio is one component of a larger diversified programme — only systematic risk matters because unsystematic risk is diversified away at the total portfolio level. It is appropriate for evaluating individual fund managers within a multi-manager institutional portfolio.
Jensen’s alpha is appropriate for measuring the absolute skill contribution of active management — the excess return above what passive market exposure with equivalent beta would have delivered — and for ranking managers on the basis of value added.
The information ratio is appropriate for evaluating the consistency and reliability of active management relative to a specific benchmark — the metric of choice for institutional investors conducting manager due diligence and ongoing manager monitoring.
Maximum Drawdown and the Calmar Ratio
Standard deviation treats every departure from the average return alike and takes no account of the order in which returns arrive, so a measure built on it cannot describe an investor’s aversion to a sustained run of losses. Maximum drawdown — the largest fall in value from a peak to a later trough during the period measured — is one of the most widely quoted measures of risk among hedge funds and commodity trading advisors, because long declines can drive investors out of a fund and cost its manager clients.
The Calmar ratio is a risk-adjusted performance measure built on maximum drawdown rather than on standard deviation. It divides the return the portfolio earned over a period by the maximum drawdown it suffered over the same period, so a fund that returned twelve percent over a year in which its largest peak-to-trough fall was twenty percent has a Calmar ratio of zero point six. A higher Calmar ratio indicates more return for each unit of drawdown suffered.
Two properties of maximum drawdown limit what a Calmar ratio can show. First, drawdown depends on the sequence of returns and not only on their average and dispersion. The same set of monthly returns arranged in a different order has the same mean and the same standard deviation, and therefore the same Sharpe ratio, but losses that arrive in an unbroken run produce a much deeper drawdown than the same losses scattered among gains. Second, the expected maximum drawdown grows with the length of the period observed, since a longer record gives a fund more opportunity to suffer a deep decline. A Calmar ratio measured over a ten-year record is therefore not directly comparable with one measured over three years, and Malik Magdon-Ismail and Amir Atiya have proposed scaling laws for drawdown-based ratios, analogous to the square-root-of-time rule for the Sharpe ratio, so that funds with track records of different lengths can be compared.
Upside and Downside Capture Ratios
Capture ratios measure a fund’s performance against a benchmark separately in rising and falling markets. The upside capture ratio takes the fund’s return in the months in which the benchmark’s return was positive and divides it by the benchmark’s return in those same months; the downside capture ratio does the same for the months in which the benchmark’s return was negative. Which months count as up or down is decided by the benchmark, not by the fund. Morningstar, which publishes both ratios, computes them over one-, three-, five-, ten- and fifteen-year periods from the geometric average of the fund’s and the index’s returns in the up months and in the down months respectively.
The two ratios read in opposite directions. An upside capture ratio above one hundred means the fund has generally gained more than its benchmark when the benchmark rose. A downside capture ratio below one hundred means the fund has lost less than its benchmark when the benchmark fell — a fund with a downside capture ratio of eighty would have fallen about eight percent when the market fell ten percent. On the upside a higher figure is better and on the downside a lower one, and a fund whose ratios are both one hundred has moved in step with its benchmark in rising and falling markets alike.
Neither ratio should be read alone. Most funds show a trade-off between the two: a fund with a sizeable advantage over its index in rising markets is likely to have weaker results when the market falls, and the reverse. A fund overweight in defensive stocks may show an attractive downside capture ratio across a volatile period in which the market makes little progress, and then lag when the market turns into a sustained rise. The ratios also depend on the benchmark chosen, since every fund in an asset class is measured against a single index, and a manager whose style differs sharply from that index can be expected to show striking capture ratios.
The Morningstar Rating — Risk-Adjusted Return Within a Peer Group
The star rating that Morningstar assigns to funds rests on a risk-adjusted measure, but on a different idea of risk adjustment from the Sharpe ratio’s. Rather than equalising the risk of two funds before comparing them, Morningstar Risk-Adjusted Return draws on expected utility theory: it is the guaranteed riskless return that would give a model investor the same level of utility as the fund’s actual, variable excess returns — a certainty equivalent. The measure always rewards return and always penalises risk, gives more weight to downside variation than to upside variation, and assumes no particular distribution of returns. Because it is an annualised return, it can be split into a return component and a risk component, Morningstar Risk, which is never less than zero.
The rating then compares each fund only with the other funds in its Morningstar Category, a peer group of funds similar enough in their exposures to risk factors that the differences in their returns reflect mainly security selection and the timing of those exposures. The aim is that a fund’s rating should be affected more by its manager’s skill than by market conditions beyond the manager’s control: in a period when falling interest rates let investment-grade bond funds outperform equity funds, a comparison across asset classes would reward bond managers for circumstances rather than skill. Within each category the funds with the highest risk-adjusted returns receive the most stars, the top ten percent receiving five stars and the bottom ten percent one.
A fund needs at least thirty-six months of returns to be rated. Ratings are calculated for three, five and ten years, and the overall rating is a weighted average of those available, which for a fund with ten or more years of history gives fifty percent to the ten-year rating, thirty percent to the five-year and twenty percent to the three-year. Although the ten-year period carries the largest weight in that formula, the most recent three years have the greatest effect on the overall rating, because they fall within all three periods.
Examination Relevance and Key Takeaways
Risk-adjusted return is tested on the Series 65 examination in the context of portfolio performance evaluation, the four primary risk-adjusted measures, their formulas, their appropriate applications, and the distinction between total risk and systematic risk measures.
The key points to retain are these.
Risk-adjusted return measures how much return was earned per unit of risk assumed — addressing the fundamental limitation of raw return comparisons that ignore risk differences between portfolios. The four primary measures are the Sharpe ratio, the Treynor ratio, Jensen’s alpha, and the information ratio.
The Sharpe ratio equals portfolio return minus the risk-free rate divided by standard deviation of returns — measuring excess return per unit of total risk. It is appropriate when the portfolio represents the investor’s entire wealth or when unsystematic risk is material. A higher Sharpe ratio indicates superior risk-adjusted performance. The Treynor ratio equals portfolio return minus the risk-free rate divided by beta — measuring excess return per unit of systematic risk only. It is appropriate when the portfolio is one component of a larger diversified programme where unsystematic risk is diversified away. Jensen’s alpha equals actual portfolio return minus the CAPM-predicted return for the portfolio’s beta level — measuring the absolute excess return attributable to active management skill. Positive alpha indicates outperformance above passive market exposure. Negative alpha indicates underperformance. Alpha is both a ranking tool and an absolute performance measure. The information ratio equals active return above the benchmark divided by tracking error — measuring the consistency of active outperformance. A high information ratio indicates reliable, repeatable active management skill rather than volatile concentration bets.
When the portfolio is not fully diversified — use Sharpe, because only its standard deviation captures the unsystematic risk that alpha and the Treynor ratio, both measured against beta, leave out. When the portfolio is a component of a larger diversified programme — use Treynor or alpha. When evaluating consistency of benchmark outperformance — use the information ratio. Jensen’s alpha rests on the CAPM, and the Treynor ratio on beta, the CAPM’s measure of systematic risk; the Sharpe ratio, built on total risk, and the information ratio, built on return relative to a chosen benchmark, do not depend on the CAPM. All four should be applied within the context of the specific portfolio’s investment mandate and benchmark.


