A top-quartile track record is strong evidence in hindsight and close to noise at the moment you commit. And you invest at commitment, not in hindsight.
Few mainstream asset classes make manager selection this economically consequential. A 1.70 versus a 0.71: that is the gap between the average top-quartile and bottom-quartile post-2000 US buyout fund, measured in PME, the public market equivalent (Harris, Jenkinson, Kaplan & Stucke, 2020). One returns about 70% more than the public market net of fees; the other hands back less than three quarters of what you put in. If you could reliably land in the top quartile, fund selection would be one of the most valuable skills in finance.
So the only question that matters is whether you can. The industry’s answer, repeated in every pitch deck, is yes: back the managers whose last fund was top quartile. This guide walks through what the data actually shows, why the intuitive strategy mostly fails for buyout, the one place it still works, and how to evaluate a manager when the quartile label on the cover tells you almost nothing.
We focus on what an investor can act on, not what looks true in hindsight. That distinction turns out to be the whole story.
The Prize: Why Fund Selection Matters More in PE Than Anywhere Else
Relative to private equity, public-market manager selection is usually a lower-dispersion game. The gap between a top-quartile and bottom-quartile large-cap equity fund is often a point or two of annual return. In private equity it is a chasm.
For post-2000 US buyout funds, the average top-quartile fund returns a PME of roughly 1.70, while the average bottom-quartile fund returns about 0.71 (Harris, Jenkinson, Kaplan & Stucke, 2020). Read those two numbers slowly. The top-quartile fund beats the public market by about 70 cents on the dollar after fees. The bottom-quartile fund loses to it badly, returning less capital than a plain index would have. Same asset class, same vintage window, opposite outcomes.
Same asset class, same years, opposite outcomes. The top quartile beats the public market by about 70%; the bottom quartile loses to it.
| Post-2000 US buyout, by quartile | Average PME | Read |
|---|---|---|
| Top quartile | ~1.70 | Beat public markets by ~70%, net of fees |
| Second quartile | ~1.24 | Modestly ahead of public |
| Third quartile | ~1.04 | Roughly matched public |
| Bottom quartile | ~0.71 | Lost meaningfully to a public index |
Source: Harris, Jenkinson, Kaplan & Stucke, “Has Persistence Persisted in Private Equity?” (2020), Burgiss data. PME is net of fees; a value above 1.0 beats the public benchmark. Figures rounded.
Takeaway: the reward for picking the right manager in PE is enormous, which is exactly why the question of whether you can pick is worth more than any single deal you will ever model.
The Conventional Wisdom Everyone Follows
The standard LP playbook is simple: re-up with managers whose prior fund landed in the top quartile, and try to get into the next first-time fund run by a proven team. Allocators build entire programs around it, and it feels self-evidently correct. Skill should persist. A firm with a repeatable sourcing edge, a real operating bench, and a disciplined process ought to keep winning.
This intuition is reinforced by the original academic finding. Kaplan and Schoar (2005) were the first to study persistence in PE and found it: a fund’s performance was positively related to the performance of the firm’s previous fund. That was a striking result, because in public markets persistence barely exists. Mutual fund winners do not reliably repeat (Carhart, 1997; Fama & French, 2010), and hedge fund persistence is modest at best (Ammann et al., 2013; Jagannathan et al., 2010). PE looked like the rare place where past performance was a genuine signal.
Then the sample grew, the years rolled forward, and the picture changed.
The Two Answers, and Why Only One of Them Helps You
Harris, Jenkinson, Kaplan and Stucke revisited persistence with a much larger, higher-quality Burgiss cash-flow sample, focused on funds raised after 2000. The trick to understanding their result is that there are two different questions hiding inside “does performance persist,” and they have different answers.
Answer one: ex-post, using final performance. If you sort managers by how their prior fund ultimately turned out, there is still modest persistence. A manager whose prior fund finished top quartile runs another top-quartile fund about 33% of the time, versus 25% by chance. The average next-fund PME steps down cleanly with prior-fund quartile: roughly 1.27, 1.18, 1.15, and 1.02 from top to bottom (this is the next fund’s average PME sorted by the prior fund’s quartile, a different cut from the 1.70-to-0.71 spread of a fund’s own PME above). Real skill exists, and it is more than mutual funds can claim.
Answer two: at fundraising, using what you actually knew at the time. Here is the catch. When the next fund is being raised, the prior fund is not finished. You do not have its final PME; you have an interim, in-progress number. When the authors re-run the test using only the information an investor genuinely had at commitment, persistence for buyout collapses. A prior top-quartile manager goes on to a top-quartile fund only about 24% of the time (23.9% in the data), statistically indistinguishable from a manager whose prior fund was bottom quartile.
That is the entire point. The persistence is real in hindsight and close to useless in real time. You cannot invest with hindsight. By the time the track record is clean enough to trust, the fund you would have wanted to back is closed and well into its life.
Takeaway: “top-quartile track record” is mostly a hindsight label. At the moment you write the check, it carries almost no predictive power for buyout funds.
Why the Signal Disappears: GPs Time Their Own Raises
The gap between the two answers is not a statistical quirk. It has a clean behavioral cause, and once you see it you cannot unsee it.
GPs choose when to come to market. A firm whose current fund is performing well raises the next one quickly, while the marks are flattering and LPs are eager. A firm whose current fund is struggling waits, hoping performance recovers before it has to fundraise. And the firms whose funds are genuinely bad often never raise again at all; they simply disappear from the sample.
The visible top-quartile pool mixes genuine skill with well-timed luck, and the worst funds never show up in it at all.
That self-selection systematically strips the signal out of the track record you see. The strong raise on strength. The weak delay, or vanish. So at the moment of decision, the visible “top-quartile” managers are a mix of the genuinely skilled and the temporarily lucky who timed their raise well, and you cannot tell them apart from the interim numbers. The fundraising process is, in effect, timed against the LP.
Takeaway: the fundraising calendar is not neutral. It is a filter the GP controls, and it converts lucky interim marks into what looks like repeatable skill.
The Edge That Survives: Avoid Losers, Don’t Chase Winners
There is a residual that does survive into the at-fundraising data, and it is the most practically useful finding in the whole literature. The persistence that remains for buyout is driven by the bottom of the distribution, not the top. Prior bottom-quartile managers are meaningfully more likely to stay bad than prior top-quartile managers are to stay good.
That flips the conventional playbook. The reliable move is not “chase the past winners,” which the data says you cannot do. It is “screen out the persistent losers,” which the data says you can. Avoiding the bottom is a more durable edge than catching the top, and it is the opposite of how most allocators actually behave when a hot fund is oversubscribed.
Takeaway: in buyout, downside avoidance beats upside chasing. The track record is more useful as a disqualifier than as a buy signal.
The Exception: Venture Capital Is a Different Game
None of this transfers cleanly to venture capital, and conflating the two is a common mistake. In VC, persistence shows up even using information available at fundraising. The conventional wisdom of backing prior winners holds far better in venture than in buyout, though it too weakened after 2000.
The reason is structural. Top VC firms enjoy self-reinforcing advantages that compound: the best founders want the best-known investors, which produces the best companies, which reinforces the brand and access. Deal flow is proprietary and relationship-gated in a way buyout deal flow, dominated by intermediated auctions, is not. Access, not just skill, persists.
Takeaway: “past performance does not predict future returns” is a buyout statement. For venture, the brand-name firms really do tend to stay on top, so do not apply the buyout lesson to a VC allocation.
A Simple Re-Up Thought Experiment
Imagine an LP sees a prior fund marked top decile just as the next fund comes to market. The instinct is to re-up aggressively, and on paper it looks obvious.
But if that visible mark was helped by timing, unrealized NAVs, or a kind vintage, the next fund can easily land merely in the second quartile, or in the middle of the pack. The point is not that the GP lacks skill. It is that one spectacular fund is a noisy predictor unless you can isolate the repeatable engine behind it: the sourcing edge, the operating playbook, the specific thing that produced the result. A logo is not an engine.
A deliberately simplified illustration, not a specific fund.
The Honest Counterpoint: The Debate Isn’t Closed
Practitioner-grade means saying where the case is narrow. The academic point here is specific: exact top-quartile buyout persistence is weak at the moment of commitment. That is not the same as saying every track record is useless.
The market also behaves as if records matter. Bain’s 2025 read of private equity fundraising describes a haves-and-have-nots split, with capital concentrating in the largest, most established firms and the managers with the strongest records (Bain & Company, Global Private Equity Report 2025). Treat that as evidence of how LPs behave and how capital is concentrating, not as proof that fine-grained top-quartile persistence is strong. Broad top-half versus bottom-half distinctions may still carry information even where the exact-quartile signal does not.
The right conclusion is not “ignore performance.” It is “do not outsource underwriting to a quartile label.”
Takeaway: chasing the exact prior top quartile does not reliably work for buyout at the moment of decision. Sorting good franchises from bad still matters. The work is in explaining why the record should repeat.
What This Means for You
If the quartile label on the cover is mostly hindsight, the work shifts back to judgment. You cannot outsource the decision to a track record, so you have to underwrite the manager and the strategy the way you would underwrite a deal.
For allocators and anyone evaluating a fund, the track record is an input, not a verdict. Use the checklist below to read it without being fooled by timing and selection.
How to Read a PE Track Record Without Being Fooled
Separate hindsight from what was knowable
- Ask for the prior fund’s performance as it stood at the time the current fund was raised, not just its final number.
- Treat any in-progress fund’s interim PME or IRR as provisional; it is the most timing-sensitive number in the deck.
Stress the selection story
- Why are they raising now? Strong interim marks plus a fast raise can be skill or can be good timing on a flattering mark.
- Ask about every fund the team has ever run, including the ones not on the page. Survivorship hides the misses.
Use the record as a disqualifier first
- Persistent bottom-quartile history is the more reliable signal. Weight it heavily as a screen-out.
- A single top-decile fund is weak evidence on its own. Look for repeatability across vintages and market regimes.
Underwrite the engine, not the logo
- Is the return attributable to a repeatable sourcing or operating edge, or to leverage and a rising-multiple tailwind that will not repeat?
- Has the team, strategy, or fund size changed since the good fund? Scaling and key-person turnover break persistence.
- Match the lesson to the asset class: backing prior winners is far more defensible in venture than in buyout.
For candidates and associates, this is high-leverage interview material, because most people get it wrong in exactly the predictable way. If you are asked how LPs should pick funds, or whether past performance predicts future returns, the senior-sounding answer is the precise one: yes in hindsight, no at the moment of commitment for buyout, because GPs time their raises; the residual edge is avoiding persistent losers; and venture is the exception. That answer signals you understand selection bias and the GP-LP relationship, not just the textbook line.
And the deeper lesson runs straight back to the rest of the desk. If you cannot trust a fund label, you have to be able to judge the underlying deals yourself, which is the entire point of learning to build an LBO model, read the value-creation levers, and track realized DPI rather than paper marks.
FAQ
Do top-quartile PE funds stay top quartile?
In hindsight, somewhat: a manager whose prior fund finished top quartile runs another top-quartile fund about 33% of the time versus 25% by chance. But using only what an investor knew at fundraising, the rate falls to roughly 24% for buyout, statistically indistinguishable from random. A past top-quartile label is not a reliable buy signal for buyout (Harris, Jenkinson, Kaplan & Stucke, 2020).
Why doesn’t past performance predict future PE returns for buyouts?
Timing. GPs choose when to raise, coming to market on strength and delaying on weakness, while the weakest often never raise again. That selection strips most of the predictive signal out of the track record an investor actually sees at commitment.
Is persistence different for venture capital?
Yes. For VC, persistence shows up even using information available at fundraising, so backing prior winners holds up better in venture than in buyout. It weakened after 2000 but did not disappear.
What is PME and why use it to measure persistence?
PME (public market equivalent, Kaplan & Schoar, 2005) compares fund cash flows to investing the same cash in a public index. Above 1.0 means the fund beat the index net of fees. It is the cleanest single number for ranking funds because it market-adjusts the multiple rather than leaning on subjective interim NAVs.
If I can’t reliably pick top-quartile funds, what should I do?
Two things the data supports. Avoiding persistent losers is a stronger edge than chasing winners, because the residual buyout persistence sits in the bottom quartile. And underwrite the specific strategy, team, and deal yourself rather than buying a track-record logo.
Sources & Methodology
Methodology: PME is the public market equivalent (Kaplan & Schoar, 2005), net of fees; values above 1.0 beat the public benchmark. Quartile, transition, and repeat-rate figures are for US buyout funds raised after 2000 unless noted, from Harris, Jenkinson, Kaplan & Stucke (NBER Working Paper 28109, 2020; Journal of Corporate Finance, 2023), using Burgiss data measured as of June 2019. “Ex-post” uses final fund performance; “at fundraising” uses performance as observable when the subsequent fund was raised. The precise at-fundraising top-quartile repeat rate is 23.9%, rounded to roughly 24% in the prose; other figures are rounded as well.
- Harris, Jenkinson, Kaplan & Stucke, “Has Persistence Persisted in Private Equity? Evidence from Buyout and Venture Capital Funds” (NBER Working Paper 28109, 2020; Journal of Corporate Finance, 2023). Core persistence, quartile PMEs, transition and repeat rates, VC contrast.
- Kaplan & Schoar, “Private Equity Performance: Returns, Persistence, and Capital Flows” (Journal of Finance, 2005). PME methodology and original persistence finding.
- Carhart (1997); Fama & French (2010). Absence of mutual-fund persistence.
- Ammann, Huber & Schmid (2013); Jagannathan, Malakhov & Novikov (2010). Modest hedge-fund persistence.
- Bain & Company, Global Private Equity Report 2025. Market-behavior counterpoint: fundraising is concentrating with the largest, most established managers and those with the strongest records.
Updated: first published June 2026. Persistence figures reflect Harris, Jenkinson, Kaplan & Stucke (2020), using Burgiss data measured as of June 2019; the later journal version (2023) extends the data to December 2020. The market-behavior counterpoint reflects Bain’s 2025 report. Refresh transition and quartile figures when the next major update lands.
Revision History
- : Original publication on the UpLevered platform: canonical reference template, named author byline, Article + FAQ schema.
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