
Private equity has found its most powerful argument for getting into 401(k) target-date funds:
“Private equity lowers portfolio risk because it has low correlation with public stocks.”
An ERISA fiduciary should be extremely careful before putting that sentence into an investment-committee memo.
Because the apparent diversification can be partly an artifact of how private assets are valued.
Public stocks are marked every trading day. Private-equity holdings may be valued periodically using estimates, models and manager judgments. Market movements therefore don’t necessarily appear immediately in reported NAV.
The result can be:
Smoothed NAV → artificially low measured volatility → artificially low measured correlation → artificially attractive Sharpe ratio → apparent diversification benefit.
The economic risk hasn’t necessarily disappeared.
The ruler changed.
And there is unusually strong independent support for that proposition.
Even T. Rowe Price warns that smoothing distorts diversification statistics
This isn’t merely an argument made by private-equity critics.
T. Rowe Price’s analysis of private-asset diversification acknowledges that appraisal-based valuations and the absence of mark-to-market pricing can make private-asset performance incomparable with public assets.
Its conclusion is particularly important: smoothed results do not accurately represent the actual volatility and correlation characteristics of private investments. Its analysis found that, over longer periods that diminish the smoothing effect, private-equity volatility was comparable with large-cap public equities over one-year periods and higher over rolling three-year periods.
That is potentially devastating to the simplistic TDF sales pitch.
Suppose an optimizer is given:
| Input | Public equities | Reported PE |
| Standard deviation | 18% | 10% |
| Correlation | 1.00 | .50 |
| Expected return | 8% | 10% |
Of course the optimizer wants PE.
But suppose economic reality after correcting for stale pricing looks more like:
| Input | Public equities | Unsmoothed PE |
| Standard deviation | 18% | 20% |
| Correlation | 1.00 | .85 |
| Expected return | 8% | 10% |
The alleged diversification miracle largely disappears.
Garbage risk statistics in → fiduciary-looking efficient frontier out.
The academic evidence is even stronger
Boyer, Nadauld, Vorkink and Weisbach published an important Journal of Finance paper using PE secondary-market transactions.
Their conclusion:
“Net asset values are too smooth.”
They found that NAVs fail to reflect changes in discount rates and warned that ignoring that variation can result in misallocation of capital.
That goes directly to the 401(k) issue.
The relevant fiduciary question isn’t:
“What standard deviation did the PE manager report?”
It is:
“What would the volatility, beta and correlation look like if these assets were continuously market-priced like everything else in the target-date fund?”
A fiduciary who doesn’t ask that question could be comparing apples with periodically appraised oranges.
Recent NBER research provides another warning. Ercan, Kaplan and Strebulaev found that the history of private-equity interim valuations contains information beyond the latest reported valuation; greater valuation staleness and repeated markdowns help predict subsequent outcomes.
In other words, the latest NAV isn’t necessarily the whole risk story.
Bailey and López de Prado: serial correlation can hide enormous downside risk
David Bailey and Marcos López de Prado provide another piece of this puzzle. https://lnkd.in/eqvbp7qC
Their research examined the consequences of treating serially correlated investment returns as though returns were independent.
Their finding was remarkable:
Ignoring serial correlation can underestimate downside potential by as much as 70%.
Their paper concerns hedge-fund strategies rather than specifically PE target-date funds, so I would not claim they proved that PE risk is understated by 70%.
But the methodological warning is directly relevant.
When smoothed or stale marks create serial correlation, conventional risk measures can badly mischaracterize the underlying risk.
An ERISA fiduciary therefore shouldn’t accept a consultant’s standard deviation, Sharpe ratio or correlation matrix without asking:
How were the private-market returns adjusted for smoothing and serial correlation?
If the answer is they weren’t, the supposedly sophisticated asset-allocation model may be built on a fundamental statistical mismatch.
This is the same “Risk Illusion” we identified with TIAA
The structure closely resembles the problem I previously identified with TIAA’s target-date modeling.
TIAA’s annuity doesn’t fluctuate like a bond fund because there isn’t a continuously traded security producing a market price every day. The crediting process and insurance structure smooth what participants see.
That can make an illiquid contractual asset look statistically safer than a liquid security.
The CommonSense analysis called this “fake volatility”: risk can be transferred or hidden without disappearing.
Private equity potentially brings the same problem to the equity side of the glidepath.
Put the two together and a next-generation TDF could theoretically contain:
Public Stocks + Bonds + Private Equity + Private Credit + Real Estate + Annuities
and report beautifully diversified historical statistics.
But some of the apparent diversification may arise precisely because the assets aren’t being priced on the same basis.
That is not necessarily diversification.
It can be accounting diversification.
Why this creates ERISA litigation exposure
This is where the issue gets much more serious.
ERISA doesn’t ask whether a consultant’s PowerPoint produced an attractive efficient frontier.
The fiduciary must undertake a prudent process.
The Department of Labor’s PE guidance specifically recognized that private equity presents greater complexity, longer time horizons, less liquidity, different regulatory/disclosure standards, more complicated valuation and typically higher fees. It said fiduciaries considering PE should conduct an objective, thorough and analytical process, secure sufficient information to understand the investment and its risks, and compare a PE-containing fund against alternatives without PE.
Important current-law qualification: the Biden-era 2021 Supplemental Statement was rescinded in August 2025, so it should not be presented as current DOL policy. But its description of the underlying valuation/liquidity problems—and the underlying fiduciary principles—remains historically useful evidence of risks regulators specifically identified.
The original 2020 Information Letter itself did not authorize standalone participant PE investments; it addressed PE as a component of professionally managed asset-allocation funds.
That makes the target-date fund exactly where this fight is likely to occur.
The plaintiff’s discovery request practically writes itself
Imagine the investment committee approves a TDF containing 10% PE because the consultant says PE reduces volatility and improves diversification.
Five years later participants sue.
Plaintiffs ask for:
- Every correlation matrix presented to the committee.
- The raw return series underlying those correlations.
- Reported and unsmoothed PE volatility.
- The methodology used to correct quarterly/stale valuations.
- Serial-correlation adjustments.
- Public-market-equivalent analysis.
- Secondary-market valuations.
- Stress-period correlations.
- The underlying LPAs and side letters.
- Every analysis comparing the PE TDF with a low-cost liquid TDF without PE.
Then comes the deposition:
Q. You concluded private equity reduced the target-date fund’s risk?
A. Yes.
Q. You knew public equities were priced daily?
A. Yes.
Q. You knew the private investments weren’t?
A. Yes.
Q. What adjustment did you make before comparing their standard deviations and correlations?
A. None.
That’s the problem.
The WSJ article raises the fiduciary standard even further
Jason Zweig’s new Wall Street Journal article warns ordinary investors about precisely the characteristics that can disappear behind the PE-diversification sales pitch: infrequent and potentially dubious valuations, limited liquidity, high and variable fees, adviser incentives and the complexity of private funds.
Zweig recommends asking detailed questions and getting the answers in writing.
Jason Zweig — What to Ask When Your Adviser Pushes Private Funds
That creates an uncomfortable ERISA question:
If the Wall Street Journal says a retail investor should question the valuation and liquidity of a $50,000 private investment, what excuse does an ERISA fiduciary have for accepting a consultant’s correlation matrix before putting $500 million of workers’ retirement money into PE?
And then we reach the CIT
This is where your recent contract work and the risk-smoothing argument come together.
A conventional mutual fund provides investors a registered security with substantial standardized public disclosure.
The emerging private-market TDF can instead look like:
401(k)
↓
Target-Date CIT
↓
Private-Market CIT / Feeder
↓
Conduit / Alternative Investment Vehicle
↓
Private-Equity Partnership
↓
Portfolio Companies
Your recent CommonSense article argues that these structures can provide much less participant visibility into the underlying contracts and economics.
CommonSense — SEC Mutual Fund Standards Are Slipping, But Not Fast Enough for Private Equity
I would make one legal distinction very clear: a state-regulated CIT does not itself legalize bad valuation, an imprudent investment process, or an ERISA prohibited transaction.
Its importance to your thesis is different:
The CIT can obscure the evidence necessary to test the sales pitch.
The participant sees:
“2055 Target Retirement Fund.”
The fiduciary may be shown:
“Lower volatility + lower correlation + higher expected return.”
But underneath those statistics can sit bespoke PE contracts, GP valuations, feeder vehicles, different liquidity rights, leverage, affiliated fees and other contractual economics that aren’t apparent from the TDF’s name or headline statistics.
That makes your contract article the second half of this story.
CommonSense — The Contracts Private Equity Doesn’t Want 401(k) Participants to See
Anderson v. Intel makes this especially dangerous
Anderson v. Intel Corporation Investment Policy Committee is about whether an ERISA underperformance complaint must allege a “meaningful benchmark” to survive dismissal. The underlying Intel plans invested through target-date/global-diversified funds containing alternative investments, including PE and hedge funds.
Now combine that litigation issue with private-market smoothing.
The PE industry can potentially argue on the front end:
“Our low correlation proves PE reduces risk.”
And defendants can argue after litigation begins:
“Plaintiff hasn’t identified an appropriate meaningful benchmark.”
But how does the participant construct the correct benchmark if the underlying contracts, valuations, leverage and actual economic exposures aren’t publicly available?
That is why valuation opacity + contractual secrecy + meaningful-benchmark pleading requirements could become an extraordinarily powerful defense mechanism.
Your argument shouldn’t be that every low correlation is “fake.”
It should be harder to rebut:
A fiduciary cannot prudently rely on reported PE correlation and volatility without determining whether stale or discretionary valuations materially suppress those statistics.
The fiduciary litigation test
I would end the piece with this.
Before a fiduciary accepts the statement “private equity reduces TDF risk,” demand six numbers:
Reported PE volatility.
Unsmoothed PE volatility.
Reported stock/PE correlation.
Unsmoothed stock/PE correlation.
Stress-period correlation.
Secondary-market discount to reported NAV.
Then demand the methodology and underlying data in writing.
If the PE manager won’t provide them, don’t let the consultant put “diversification benefit” in the investment committee minutes.
Because after the lawsuit is filed, that phrase may become Exhibit A.
Bottom line
Private equity does not become safer because its price moves less often.
An asset that isn’t marked doesn’t have zero volatility. It has unreported volatility.
And a target-date fund doesn’t become diversified merely because a spreadsheet combines daily-priced public securities with quarterly manager-valued private assets and produces a low correlation coefficient.
For an ERISA fiduciary, mistaking valuation smoothing for risk reduction isn’t sophisticated diversification. It is potentially discoverable evidence of a flawed fiduciary process.
Appendix: CFA’s Richard Ennis Puts a Price on “Volatility Laundering”
Since publishing this article, it is worth highlighting an analysis by Richard M. Ennis, CFA, published by the CFA Institute Research and Policy Center under the blunt title “Volatility Laundering: Public Pension Funds and the Impact of NAV Adjustments.” https://rpc.cfainstitute.org/blogs/enterprising-investor/2025/volatility-laundering-public-pension-funds-and-the-impact-of-nav-adjustments
Ennis takes the argument in this article one important step further.
My argument above is that stale and manager-determined private-equity valuations can artificially suppress reported volatility and correlation, creating an illusion of diversification.
Ennis asks another question:
What if the NAV itself isn’t what the market would actually pay?
The Market Is Giving Us a Second Price
Private funds generally report NAVs established by their general partners and reviewed by accountants.
But private-asset interests also trade in secondary markets.
And those buyers frequently aren’t paying NAV.
Ennis cites Jefferies secondary-market data showing these approximate discounts to NAV during the first half of 2024:
| Private Asset | Discount to Reported NAV |
| Buyout | 6% |
| Private Credit | 15% |
| Real Estate | 26% |
| Venture Capital | 30% |
| All Private Assets | 12% |
That 12% number deserves the attention of every public-pension trustee—and every ERISA fiduciary considering private assets in a 401(k).
If a PE fund tells you an investment is worth $100 million while independent buyers are willing to pay only $88 million, which number represents the economic value of the asset?
At minimum, the $88 million price deserves considerably more attention than it often receives.
Ennis Estimates Public Pension Assets Could Be Overstated by About 3%
Ennis then performs a simple calculation.
Public pension funds had roughly 24% of their portfolios in private equity and real estate through fiscal 2022.
Apply a 12% secondary-market discount to that 24% allocation:
24% × 12% = 2.9%.
In round numbers, Ennis concludes that aggregate public-pension assets could have been approximately 3% overvalued relative to secondary-market pricing under this rough adjustment.
Three percent doesn’t sound dramatic until you apply it to a giant pension system.
On a $100 billion pension:
3% = $3 billion.
On a $500 billion pension:
3% = $15 billion.
That’s not volatility disappearing.
That’s potentially billions of dollars of economic value not appearing in the reported numbers.
And Reported Performance Looks Better Too
Ennis examined 50 large U.S. public pension funds over the 16 fiscal years ending June 30, 2024.
Their composite annualized return was:
6.88%.
His comparable market index returned:
7.84%.
That already represents approximately 96 basis points of annual underperformance.
Then Ennis adjusted for the estimated private-asset NAV overvaluation.
His adjusted annual performance shortfall became approximately:
114 basis points per year.
If the NAV adjustment is spread over 10 years instead, Ennis estimates roughly another 30 basis points per year of underperformance.
That is important.
Volatility laundering potentially does two things simultaneously:
It can make private assets look less risky.
And:
It can make institutional investment performance look better.
2022 Shows How the Trick Works Without Anyone Necessarily “Cheating”
The 2022 market decline provides an almost perfect demonstration.
Stocks and bonds fell sharply.
Public securities reflected those losses quickly because markets repriced them every day.
Private-market NAVs didn’t necessarily move at the same speed.
Ennis notes that GP-reported NAVs commonly lag public markets by a quarter or more.
The result was extraordinary.
In fiscal 2022, Ennis’s public-pension composite reported:
-3.8%.
His market index returned:
-13.3%.
Suddenly public pensions appeared to beat the market by an enormous:
9.5 percentage points.
Had private equity somehow discovered a magical investment strategy capable of escaping a simultaneous stock-and-bond bear market?
Probably not.
The losses hadn’t necessarily disappeared.
Some of them simply hadn’t been marked yet.
And what happened next is revealing.
For fiscal 2023, the pension composite lagged Ennis’s market index by 5.5 percentage points.
In 2024, it lagged by another 6.1 percentage points.
Ennis describes the subsequent years as containing NAV adjustments bringing private-market marks closer to marketplace realities.
The risk didn’t disappear in 2022.
The accounting clock was different.
This Makes the 401(k) Diversification Sales Pitch Even More Dangerous
Now return to the private-equity industry’s emerging 401(k) pitch:
“Private equity reduces target-date-fund volatility and improves diversification.”
The Ennis analysis gives ERISA fiduciaries another reason to demand the underlying numbers.
Imagine a consultant presents this:
Public equities: 18% volatility.
Private equity: 10% volatility.
The efficient-frontier model loves private equity.
But what produced that 10%?
If the private investment is worth $100 on the GP’s quarterly NAV statement while actual secondary-market buyers would pay $88, the consultant may be feeding the optimizer something that isn’t comparable with the daily market price of the public securities.
The spreadsheet sees:
10% volatility.
Economic reality may contain considerably more volatility.
The model can’t detect a markdown that never entered the return series.
This Is Why “Secondary-Market Discount to NAV” Belongs in Every ERISA PE Review
At the end of this article I suggested that fiduciaries demand six numbers before accepting the claim that PE reduces target-date-fund risk:
Reported PE volatility.
Unsmoothed PE volatility.
Reported stock/PE correlation.
Unsmoothed stock/PE correlation.
Stress-period correlation.
Secondary-market discount to reported NAV.
Ennis’s analysis makes that sixth number especially important.
Don’t merely ask the PE manager:
“What is your NAV?”
Ask:
“At what price could we sell it?”
Then ask:
“What would our volatility, correlation, Sharpe ratio and reported performance have looked like if we had used market-clearing prices instead of GP marks?”
Those answers belong in the investment-committee minutes.
Public Pensions Are the Warning Label for 401(k)s
Public pensions provide a giant real-world laboratory for what could happen if private assets become significant components of 401(k) target-date funds.
They already have decades of experience with:
Private equity + private credit + real estate + quarterly valuations + manager marks + custom benchmarks + illiquidity.
Now Wall Street wants to import more of that structure into participant-directed retirement plans.
But 401(k) participants don’t have pension staffs, investment consultants and trustees watching their individual accounts.
They see:
“2055 Target Retirement Fund.”
Behind that simple name could eventually sit billions of dollars of assets whose reported values don’t move like public securities—not necessarily because they are less risky, but because nobody is required to establish a continuously traded price.
The Fiduciary Question Gets Simpler
Ennis’s analysis turns an abstract statistical problem into a common-sense question.
Suppose the manager says:
NAV = $100.
The secondary market says:
Price = $88.
Which number did the consultant put into the target-date fund’s diversification model?
Which number determined reported volatility?
Which number determined correlation?
Which number determined the Sharpe ratio?
Which number determined the supposedly optimal PE allocation?
And—perhaps most importantly—which number was shown to the investment committee?
Because if the consultant used $100 while the market was saying $88, the resulting “low volatility” isn’t necessarily evidence that private equity reduced risk.
It may be evidence that the risk wasn’t marked.
Bottom Line
Richard Ennis calls it volatility laundering.
The phrase fits.
Public securities are forced to confess their volatility every trading day.
Private assets can sometimes postpone the confession.
That can make private equity appear less volatile, less correlated and more diversified than continuously priced economic reality.
Ennis adds another critical point: secondary markets indicate that reported NAVs can also be materially above prices investors are actually willing to pay.
So before putting private equity into a 401(k) target-date fund because a consultant’s model says it lowers risk, ask one embarrassingly simple question:
What would these numbers look like if the private assets were actually marked to market?
If nobody can answer that question, don’t call the difference diversification.
Call it what Ennis does: volatility laundering.
Appendix: JPMorgan’s “Volatility Laundromat” Shows the Sales Pitch in Action
Since publishing this article, TheAltView has provided what may be the perfect real-world illustration of the problem.
Its August 20 piece, “JPMorgan’s Volatility Laundromat,” examines a JPMorgan Asset Management presentation promoting private equity as a way to both increase returns and reduce portfolio volatility.
This matters because JPMorgan isn’t merely making a theoretical argument. Its own private-equity materials tell investors that private equity can play a critical role in diversified portfolios by “enhancing returns and reducing volatility.”
That is precisely the sales pitch this CommonSense article warned ERISA fiduciaries about.
The Chart Makes Private Equity Look Almost Magical
TheAltView focuses on a JPMorgan risk/return illustration showing portfolios moving in the supposedly desirable direction as private equity is added:
higher return + lower volatility.
But TheAltView raises serious questions about what is actually underneath those numbers.
Among other things, it identifies apparent inconsistencies between the chart, its portfolio weights and its footnotes. It calculates that the chart appears to imply roughly 17.6% annual private-equity returns over the ten years through 2024—more than four percentage points annually above the S&P 500. TheAltView contrasts that result with State Street research indicating that PE actually underperformed the S&P 500 over approximately the same period.
Even more interesting is the portfolio construction.
According to TheAltView, JPMorgan’s description says PE is funded equally from stocks and bonds. Because bonds produced unusually weak returns during this period, replacing part of the bond allocation with PE creates a relatively easy hurdle.
The obvious alternative comparison is:
What happens if you simply replace those bonds with additional public equities?
TheAltView concludes that this simple, liquid and inexpensive alternative would have produced better performance.
That is an enormously important ERISA question.
The relevant comparator isn’t necessarily:
60/40 portfolio vs. 60/25/15 portfolio with private equity.
It may also be:
What could the fiduciary have achieved with the same increased equity exposure using transparent, liquid, low-cost public securities?
But the Bigger Problem Is the Move “To the Left”
The return assumptions deserve scrutiny.
The volatility claim deserves even more.
JPMorgan’s presentation depicts adding PE as moving the portfolio toward lower measured volatility. Yet PE brings leverage, illiquidity, valuation uncertainty and assets that aren’t continuously traded.
How does adding those risks make measured volatility go down?
The answer may lie partly in the ruler being used.
Public stocks confess their volatility every trading day.
Private equity doesn’t.
TheAltView makes essentially the same point as this article and Richard Ennis’s “volatility laundering” analysis: less frequent pricing can make an economically risky asset appear statistically calm.
And JPMorgan’s own educational material acknowledges the underlying problem. It tells investors that PE is illiquid, that secondary-market sales can be limited, and that interests generally trade at discounts to reported values.
That produces an obvious fiduciary question:
If an asset can only be sold at a discount to its reported value, why should its slowly moving reported NAV be treated as proof that the asset is less risky?
It shouldn’t—at least not without considerably more analysis.
The ERISA Discovery Question Practically Writes Itself
Imagine this JPMorgan-style presentation appearing before a 401(k) investment committee considering PE inside a target-date fund.
The consultant shows a chart.
Private equity moves the efficient frontier up and to the left.
Higher return.
Lower volatility.
Better diversification.
Five years later, plaintiffs obtain the investment-committee materials.
The deposition questions become remarkably simple:
What private-equity return series produced this chart?
Were those returns based on manager-reported NAVs or market-clearing prices?
Were the returns adjusted for appraisal smoothing and serial correlation?
What was PE volatility after unsmoothing?
What happened to the correlation with public equities after unsmoothing?
What secondary-market discounts existed during the measurement period?
Why was PE compared with a stock-and-bond portfolio instead of a similarly equity-heavy liquid portfolio?
And finally:
Did the committee ever see those alternative calculations?
If the answer is no, the beautiful efficient frontier may become something very different in litigation:
Exhibit A.
Bottom Line
TheAltView has supplied a useful case study of exactly how the private-equity diversification narrative can reach investors.
JPMorgan says PE can increase returns while reducing volatility.
But an ERISA fiduciary shouldn’t accept the direction of the dots on a risk/return chart without examining how those dots were manufactured.
The question isn’t whether private equity’s reported NAV moves less than the S&P 500.
Of course it does.
The question is:
Would private equity still move the portfolio “up and to the left” if its economic exposures were marked with the same immediacy as the public securities it is being compared against?
Until the manager can answer that question with unsmoothed returns, market-based valuations, stress-period correlations and appropriate liquid comparators, lower reported volatility should not automatically be called diversification.
It may simply be the clean laundry coming out of Wall Street’s volatility laundromat.
Source: TheAltView — “JPMorgan’s Volatility Laundromat”; J.P. Morgan Asset Management — “Essentials of Private Equity Investing”









