After personal fairness’s extraordinary efficiency in 2021, personal market valuations decoupled from these of each public equities and bonds in 2022. This led many institutional traders to finish up over-allocated to non-public markets.
That is the so-called denominator impact, whereby personal asset allocations exceed the share threshold established in an allocation coverage and should be corrected. The simultaneous damaging money movement cycle has lowered anticipated liquidity that latent paper portfolio losses in conventional belongings have already compressed. This makes portfolio adjustment selections much more difficult.
Final 12 months’s knowledge present that the rebound in fairness costs and the pause in rate of interest hikes have offered some aid, however they haven’t solved the personal market liquidity difficulty or addressed the denominator impact’s implications. Liquidity wants have led to a big enhance in 2023 restricted accomplice (LP)-led secondary gross sales, in accordance with current Lazard analysis.
The financial paradigm could have modified and can stay unsure. Given the potential for higher-for-longer rates of interest, NAV staleness, and a damaging money movement cycle, the denominator impact could develop into extra systematic in LP portfolios and drive LPs to make extra frequent allocation and liquidity selections.
So, what are some conventional methods for addressing the denominator impact in personal equities, and are there different, extra progressive and environment friendly risk-transfer approaches obtainable at the moment?
The Present PE Denominator Impact
Whereas 2021 was a 12 months of extraordinary PE outperformance, 2022 was the actual outlier as personal markets confirmed unprecedented relative efficiency/valuation divergence from their public counterparts. A reverse divergence adopted in 2023, with the best damaging return distinction ever recorded, nevertheless it didn’t offset the present denominator results.
In accordance with Cliffwater analysis, PE returned 54% in 2021, in contrast with 42% for public equities. The next 12 months, PE generated 21%, outperforming shares by 36 proportion factors. In 2023, nevertheless, PE returned solely 0.8% in contrast with 17.5% for equities.
Influence of the Denominator Impact
For traders build up an allocation in PE who haven’t but reached their goal, the denominator impact, albeit painful from the standpoint of damaging efficiency total, might speed up the optimum portfolio development course of.
For the (many) different traders with a near-to-optimal allocation, and a associated overcommitment technique, the emergence of the denominator impact historically implies the next:
Consequence | Unfavorable Influence |
Decreased allocations to present and probably future vintages |
1. Decrease future returns 2. Out-of-balance classic diversification |
Smoothed compounding impact of PE returns amid curtailed reinvestment |
1. Decrease returns |
Latent/potential damaging threat premium of the PE portfolio since NAV staleness, which protected the draw back, could restrict the “upside elasticity” that accompanies any market rebound. |
1. Compromised threat diversification 2. Suboptimal asset allocation dynamics 3. Potential affect on future return targets |
Crystallization of losses | 1. Decrease present returns 2. Unbalanced classic diversification |
Tackling the Denominator Impact
Traders counter the denominator impact with varied portfolio rebalancing methods primarily based on their particular targets, constraints, and obligations. Historically, they both wait or promote the belongings within the secondary market. Just lately launched collateralized fund obligations (CFOs) have given traders an extra, if extra complicated, instrument for taking over the denominator impact.
1. The Wait-and-See Technique
Traders with well-informed boards and versatile governance might rebalance their total portfolio allocation with this system. Usually, the wait-and-see technique entails adopting wider goal allocation bands and decreasing future commitments to non-public funds. The previous make market volatility extra tolerable and cut back the necessity for automated, policy-driven changes.
In fact, the wait-and-see technique assumes that market valuations will imply revert and inside a given timeframe. Money movement simulations below totally different situations and examinations of how varied dedication pacing methods can, in idea, navigate totally different market situations.
In apply, dedication pacing methods are inherently inflexible. Why? As a result of no change can be legitimate for stipulated commitments, legacy portfolio NAVs, and future money flows thereof. Funding threat is a operate of market threat, however personal market contributors have uncared for this for 2 causes: due to the secular abundance of liquidity and the money movement–primarily based valuation perspective, which has restricted structural sensitivity to market threat. Inside charges of return (IRRs) and multiples can’t be in contrast with time-weighted conventional asset returns. Furthermore, NAVs have traditionally carried uneven details about market threat since they’re non-systematically marked to market throughout all funds. What does this imply? It signifies an unmeasured/implicit chance that the prevailing inventory of personal asset investments is overvalued and {that a} damaging threat premium might outcome with personal asset valuations rebounding much less acutely than these of public belongings.
In accordance with Cliffwater commentary and evaluation, knowledge present that personal fairness delivered a big damaging threat premium in 2023.
As of June 2022, the annual outperformance of PE vs. public shares was price 5.6 proportion factors (11.4% – 5.8%), with extra efficiency of 12% and 36% for 2021 and 2022, respectively. The general public markets rebounded by way of June 2023 by 17.5% in contrast with personal fairness’s 0.8%. As a consequence, the reported long-term tendencies are adjusted to 11% for PE and 6.2% for the general public markets, and to 4.8% for the derived outperformance. In contrast with the 17.5% of public shares, there’s a damaging threat premium affect of 16.7% on the worth of stability sheet belongings for which long-term outperformance knowledge don’t matter. The allocation technique is long run, however an precise PE portfolio’s valuation just isn’t. Its true economics are a operate of its precise liquidation and turnover phrases.
Endurance could also be neither obligatory nor helpful. Whether or not to carry on to non-public belongings ought to all the time be thought of from the anticipated threat premium perspective. Notably, the resultant discount in future commitments, related to damaging money movement cycles, could additional cut back the advantages of return compounding for personal belongings.
2. The Secondary Sale Technique
Traders could faucet into secondary market liquidity by promoting their personal market stakes by way of LP-led secondaries, or an LP can promote its fund pursuits to a different LP. Though this offered traders with liquidity and money in hand, which is important due to lowered fund distributions, in 2022, LPs might solely promote their PE belongings at a median of 81% of NAV, in accordance with Jefferies.
By promoting within the secondary market, allocators obtain quick liquidity however threat crystallizing the latent losses that stale NAVs could point out. Promoting within the secondary market facilitates portfolio rebalancing, nevertheless it additionally reduces the potential asset base for compounding personal market returns.
3. Collateralized Fund Obligation (CFO) Technique
If open to a barely extra refined expertise of asset-backed fixed-income derivation, traders could rebalance their portfolio allocation by way of a CFO construction.
Fitch Scores describes the expertise as follows:
“In a non-public fairness (PE) fund securitization, also referred to as a non-public fairness Collateralized Fund Obligation (PE CFO), the transaction sponsor transfers restricted partnership (LP) pursuits in personal fairness funds right into a particular objective car (SPV). The SPV then points tranches of debt and fairness which are offered to numerous traders, sometimes together with a portion retained by the sponsor. Proceeds of the sale are used to pay the sponsor for the preliminary switch of LP pursuits. Money distributions from the underlying funds over time are used to pay for capital calls from the funds, the bills of the SPV, curiosity, and principal of the notes, with the rest going to the fairness. The construction is just like different structured finance transactions, whereby the senior notes profit from probably the most credit score enhancement, adopted by extra junior notes, with the fairness absorbing any losses first. Some or the entire notes could also be rated.”
By promoting their belongings to an SPV on the newest NAV valuation, allocators keep away from bearing any upfront mark-to-market loss and procure liquidity for a part of the PE portfolio at the price of the rates of interest and spreads charged by capital market liquidity suppliers. These, in flip, are influenced by the standard of the mark-to-market of NAVs and by the money movement cycle.
So, if a NAV is transferred at par however implicitly valued with secondary market reductions, say at 20%, then a 40% goal loan-to-value (LTV) ratio, which is the share of the NAV that shall be funded by debt, would truly imply funding for 32% (40% × 80%) of the CFO portfolio reference NAV. On the facet, it’s price noting that CFOs additionally enhance the PE portfolio’s sensitivity to market threat, introducing the potential for default/whole loss if market situations don’t flip favorable.
Redefining Portfolio Administration: Transferring PE Threat
Novel analysis has made it attainable to border personal fund allocations when it comes to anticipated returns in a multi-period temporal context, like another asset class, quite than within the out of date phrases of IRR and multiples. This fashion, the danger of personal fund allocation turns into fungible as an overlay to the bodily allocations. The opportunity of transferring threat permits for a radical redefinition of the contribution of personal market investments in a multi-asset portfolio.
Conventional money-weighted measures primarily based on money movement dynamics are restricted by their lack of correct comparability. To measure personal fund efficiency, the applying of time-weighted, duration-based (DARC2) yields supplies a sturdy, forward-looking probabilistic framework. Non-public funds have ahead, self-liquidating dynamics — solely noncash commitments are quick (spot) obligations. Contributions, distributions, and NAVs are future (ahead) obligations and outcomes. DARC2 can generate a wonderfully matching yield curve for any fund, portfolio, or index of personal funds. Leveraging their time-weighted traits, the yields may be traded on the curve, with some great benefits of a clear comparability framework and a standardized OTC risk-transfer transaction course of.
At present, buying and selling personal funds implies that two events agree on the spot worth of a NAV — often as of the quarter-end previous to the transaction date — adjusted to present market phrases, with or with no low cost deriving from negotiation, plus the residual obligations on the traded dedication.
This course of at the moment performs out with no generalized pricing framework in distinction to what ought to in any other case be obtainable to each events with the intention to outline equitable buying and selling phrases. As a result of there isn’t a strategy to arrange a NAV to be exchanged sooner or later, time period contracts can not at the moment be used even when they may have provided higher threat administration potentialities. Nobody is aware of upfront how a lot money shall be drawn, what the NAV shall be, or how a lot capital could have been distributed at a given future date.
As an alternative, when personal funds are modeled in probabilistic phrases, they are often priced, in contrast, and traded over time and in addition throughout belongings with none of the constraints that have an effect on present personal fund liquidity practices. As a consequence, utilizing personal fund yields, it’s attainable to rearrange any threat switch transaction on single funds, fund portfolios, and indices consultant of direct fund allocations, spot and ahead, and cross-asset allocation.
Threat switch transactions are an progressive answer for personal markets. They’re at the moment chaperoned on a novel expertise platform that gives valuation analytics and pricing data and facilitates counterparty discovery. Procedurally, institutional buying and selling counterparties take care of underwriting monetary establishments utilizing current banking relations. In actual fact, transactions are executed by counting on trusted banking intermediaries that may undertake standardized by-product protocols (ISDA) and credit score collateralization. They’re sometimes settled in money.
How Non-public Fund Threat Switch Helps Reframe the Denominator Impact
By buying and selling personal fund yields, traders can reshape their portfolio asset allocation. Step one is to rework the PE portfolio into yield curves to speak returns within the time-weighted language that multi-asset and multi-period transactions require.
A simplified swap transaction demonstrates the idea within the context of the worldwide monetary disaster (GFC). The returns of a portfolio of 2006 classic buyout funds versus these of the S&P 500 index are depicted within the desk under, with the since-inception compounded values and the year-on-year returns, whereas the chart shows since-inception annualized returns/yields for each the personal fund portfolio and public market fairness index.
Buyout Portfolio vs. S&P 500

Supply: XTAL Markets, XTAL Methods
Calculations carried out utilizing the DARC proprietary methodology on Preqin and Refinitiv knowledge.
Utilizing simplified calculations and hypotheses to indicate the affect and advantages of personal fund derivatives, we simulate a swap transaction on 31 December 2008, between the returns of the Buyout Portfolio with out worth changes or reductions utilized to the NAV at transaction date and the returns of the S&P 500 index. The swap transaction is thus equal to an investor promoting the Buyout Portfolio and shopping for a place in an instrument paying S&P 500 returns as of 31 December 2008.
Buyout Portfolio vs. S&P 500 vs. Buyout Portfolio + Swap

Supply: XTAL Markets, XTAL Methods
Calculations carried out utilizing the DARC proprietary methodology on Preqin and Refinitiv knowledge. Listed returns calculated utilizing compound returns of the general public market index from determine above. The consequences of the swap technique are taken into consideration as of 2009.
This permits the calculation of lack of threat premium that will have been adopted by a call of not buying and selling the Buyout Portfolio, assuming no low cost on NAV, in opposition to S&P 500 returns on 31 December 2008. The chance price of the lack of threat premium can be quantified in 66.21 listed factors (233.06 – 166.86) or a cumulated further 40% (233.06 / 166.86 – 1) above the efficiency of the standalone Buyout Portfolio.
This instance doesn’t indicate {that a} purchaser of the Buyout Portfolio returns would essentially agree to begin a swap transaction at par NAV. Slightly, it highlights the chance price of stale NAVs and of portfolio administration inaction. In numbers, making use of a 39% low cost to the common 2008 NAV (estimated at 56% of the full worth of the Buyout Portfolio) would cut back the lack of threat premium from 66.21 to twenty-eight.75 listed factors.
By adapting current ISDA protocols, because the Buyout Portfolio is totally collateralized and self-liquidating, credit-worthy counterparties buying and selling personal fund yields can regulate their portfolio asset allocation effectively and at restricted price, probably growing returns with out giving up compounding advantages, managing market threat, and planning future liquidity wants with certainty.
These outcomes show the financial rationales for buying and selling the danger premium expectations for either side of the swap transaction. The best limitation thus far has been the shortcoming to find out a fungible and consultant price of return for personal funds and evaluate expectations.
Conclusions
Given future macroeconomic situations, together with probably higher-for-longer rates of interest and extended damaging money movement cycles, the denominator impact could depart no room to delay selections. This time is totally different. Traders must act to swimsuit their wants. Know-how and innovation can assist traders navigate money movement, valuation uncertainty, and the chance price of a damaging threat premium.
What labored prior to now could now work higher with a extra environment friendly toolkit.
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