
Karl Montevirgen is a professional freelance writer who specializes in the fields of finance, cryptomarkets, content strategy, and the arts. Karl works with several organizations in the equities, futures, physical metals, and blockchain industries. He holds FINRA Series 3 and Series 34 licenses in addition to a dual MFA in critical studies/writing and music composition from the California Institute of the Arts.
Doug is a Chartered Alternative Investment Analyst who spent more than 20 years as a derivatives market maker and asset manager before “reincarnating” as a financial media professional a decade ago.
Before joining Britannica, Doug spent nearly six years managing content marketing projects for a dozen clients, including The Ticker Tape, TD Ameritrade’s market news and financial education site for retail investors. He has been a CAIA charter holder since 2006, and also held a Series 3 license during his years as a derivatives specialist.
Doug previously served as Regional Director for the Chicago region of PRMIA, the Professional Risk Managers’ International Association, and he also served as editor of Intelligent Risk, PRMIA’s quarterly member newsletter. He holds a BS from the University of Illinois at Urbana-Champaign and an MBA from Illinois Institute of Technology, Stuart School of Business.

If youâre looking to invest in an actively managed fund, you probably have one goal in mind: to beat the market. Youâre looking for added value above and beyond what a passive index fund can deliver.
This added value comes in the form of a fund managerâs superior skill (or their perceived skill, anyway) in picking and managing stocks and other financial instruments. And thereâs a word for that extra gain above the broader marketâs return: alpha.
Investors often talk about alpha. The fund management industry touts alpha. But is it real, measurable, and, most importantly, sustainable? Learn about the two types of alpha, how theyâre measured and used (and misused), and judge for yourself.
In its simplest definition, alpha is excess return above a benchmarkâs return. This is also called raw alpha.
To illustrate, suppose the following:
That extra 2% is alpha, plain and simple.
But hereâs where things get a bit more complicated. What if that fund took on more risks than the index itself? For example, what if it held more (or gave more weight to) volatile stocks, relative to the S&P 500?
In that case, analysts might have expected even more from the fund. What does this mean? Although the fund beat the S&P 500, it should have returned even more because it took on more risk. Thereâs another term for this, and itâs called Jensenâs alpha.
Put simply, Jensenâs alpha is excess return above what analysts were expecting, adjusted for risk and relative to the benchmark. But how do you know what analysts were expecting? For that, we turn to the capital asset pricing model (CAPM), William Sharpeâs Nobel-winning formula that essentially says stock returns are a function of market riskânothing else.
In 1964, economist William Sharpe published the capital asset pricing model (CAPM), which theorized that returns on a specific asset (over and above the risk-free rate) are tied to its risk relative to the market. In formula form, thatâs:
R = rf + Bi ( rm â rf )
Where:
R="Return" on an asset
rf = The risk-free rate of return (in the U.S., itâs typically the yield on the 10-year Treasury note)
Bi = Cov (ri, rm) / Var (rm) = Beta, the sensitivity of the specific assetâs performance to the return of the market
rm = The average return of the market
Going back to the previous example, suppose the fund that returned 12% took on twice as much risk (2.0 beta in the CAPM formula) compared to the market (which returned 10% and had a 1.0 beta). Assume a 10-year Treasury yield (the risk-free rate) of 4%.
With a beta of 2.0, the CAPM would assume a return (R) of 4 + 2 (12 â 4) = 20%.
But because it only returned 12%, the fundâs Jensenâs alpha would be 12 â 20 = -8%.
Do you see the difference? The fundâs 12% return outperformed against the market measured in raw alpha, but it underperformed relative to CAPM expectations.
Note: When funds list their alpha, theyâre usually referring to Jensenâs alpha, not raw alpha.
Funds list alpha to highlight the added value that their managers bring to the table; a fundâs outperformance is attributed to their skill. Without the fund manager, there would be no alpha.
As youâd expect, funds with higher alphas tend to charge higher management or performance fees. But is a fundâs outperformance due solely to a managerâs skill? Not always. In fact, some critics argue that the notion of alpha is highly problematic. Letâs look at why.
If alpha is difficult for money managers to achieve, it may be just as hard to find funds that, despite their alpha figures, achieve âtrue alphaâ on a consistent and sustainable basis. Hereâs where alpha can get tricky.
Although he was best known for developing the CAPM, Sharpeâs later work went a step further. He suspected that many portfolio managers were generating their returns by taking high levels of risk, but that their returns werenât necessarily all that great after the amount of risk was factored in.
So he developed the Sharpe ratio to adjust for risk:
Sharpe ratio = (portfolio return â risk-free rate) Ă· portfolio standard deviation
Learn more about the Sharpe ratio and how it can be used in conjunction with (or instead of) alpha to assess manager skill.
Spotting a consistent alpha-generating fund manager is like finding a unicorn, and chasing alpha has become something of near-mythical pursuit, like the quest for the Holy Grail. This is not to say that true alpha doesnât exist, but it can be hard to find and even harder to sustain over a meaningful period.
Always keep in mind that past performance doesnât indicate future results. Market conditions and economies are driven by dynamic, evolving, and often unpredictable factors. And if you need a final reminder, remember that investors in Bernie Madoffâs hedge fund believed him to be a pure alpha generator, but as it turned out, he was operating a massive Ponzi scheme.Â