colibri.institute/architecture-of-returns

White Paper II · publishing soon

Emerging managers are more risk-efficient than established funds.

They return more, and they return more for every unit of risk they carry. Our first paper found that emerging venture capital managers outperform established peers on every standard performance metric. The limited partner community answered with one question: is that outperformance risk-adjusted, or is it payment for carrying more risk? The Architecture of Returns answers it across 2,142 U.S. venture capital funds raised between 2000 and 2024.

White Paper II The Architecture of Returns Why emerging venture capital managers are more risk-efficient.
Colibrí Institute · Open access
+47%More return per unit of risk carried, against established funds
28% / 9%Above vintage median, emerging against established
3xHow much larger the advantage runs among the strongest funds
2,142U.S. venture capital funds, more than three market cycles

Colibrí Institute, 2026 • Moncada, 2026
2,142 U.S.-based venture capital funds, 2000–2024.

The finding

Emerging managers convert risk into return more efficiently.

Conventional risk frameworks measure how wide a fund's range of outcomes is, find a wider spread among emerging managers, and price in a discount. What we find is that the spread is wider in the direction that generates venture returns and no worse in the direction that destroys them.

The asymmetry is clear: a venture investment can lose everything and no more, while the upside has no corresponding limit. A measure that penalizes distance from the average equally in both directions is not conservative. It is answering a different question than the one an allocator needs answered.

Core takeaway

Emerging managers are no less risky in absolute terms. They are more efficiently risky. That distinction is the difference between a warranted discount and one that is not.

Emerging managers convert risk into return more efficiently.

Emerging against established funds on two efficiency measures and four conventional metrics.

Return per unit of risk+0.25Established0.52Emerging0.76
Upside capture+0.19Established1.09Emerging1.28
Net IRR+4.7ppEstablished8.5%Emerging13.3%
TVPI+0.21xEstablished1.56xEmerging1.77x
DPI+0.11xEstablished0.66xEmerging0.77x
RVPIno differenceEstablished0.83xEmerging0.87x

Emerging managers lead on both efficiency measures and on three of the four conventional metrics. The exception is unrealized value, where the two groups are indistinguishable, so the advantage is not concentrated in marks.

Colibrí Institute, 2026 • Moncada, 2026
2,142 U.S.-based venture capital funds, 2000–2024.

Join the Waitlist

Get the paper and both diagnostics on release day.

Open access, no paywall, no charge. We will send The Architecture of Returns and the Allocator and Manager editions of the Configuration Coherence Diagnostic the day they publish.

What arrives

The paper, twelve exhibits at print resolution, the method appendix, and both editions of the diagnostic.

Advance copies

Press and analysts can request an advance copy under embargo at hello@colibri.institute.

Preview · six findings

What the paper reports.

No.FindingStatus
1Emerging managers deliver more return for the risk they carry, not just more return.Holds on both measures
2Accounting for everything these managers choose to do changes almost nothing.Gap holds at full size
3The advantage concentrates among the strongest funds.Roughly 3x the weakest quartile
4Only two portfolio construction decisions move efficiency.Breadth and stage discipline
5Two variables allocators routinely diligence carry no independent information.Check size and sector focus
6Funds with women general partners show equal or stronger efficiency.Same pattern across the distribution

We include founding-team composition as a documented mechanism of institutional exclusion rather than as an identity marker. Constraint is the mechanism, access is the fix.

Published with the paper

Two diagnostics, free, no account.

The Configuration Coherence Diagnostic publishes in two editions, one for allocators and one for managers. Both take inputs knowable from a data room or a first conversation and return a coherence read, the driver behind it, and the evidence behind that read. Neither is a performance prediction, and both work before a track record exists.

The LP Diagnostic and GP Diagnostic published with White Paper I are live now.

What the screen costs, at your allocation size.

Additional total value from the average emerging fund against the average established fund, over a ten-year fund life.

$100 million$21 million$500 million$105 million$1 billion$210 million

Derived from the 0.21x gap in total value between the two group averages, so this states the size of the prize rather than promising it without selection.

Colibrí Institute, 2026 • Moncada, 2026
2,142 U.S.-based venture capital funds, 2000–2024.

Before you cite it

What we claim, and what we do not.

The design compares funds at a point in time, so it establishes association rather than cause. Database coverage is not neutral: the funds that appear are larger, more recent, and higher-performing than those that do not, which means the efficiency premium documented here is more likely to be understated than overstated. The advantage is clear among general venture and early-stage funds and absent among later-stage funds, where the sample is small.

Open access

Free to read, quote, cite, and redistribute with attribution.

Suggested citation

Moncada, I., & Salas, M. (2026). The Architecture of Returns: Why emerging venture capital managers are more risk-efficient. Colibrí Institute.

The first paper

Why Emerging Venture Capital Managers Matter is published and free to download.

Read White Paper I

The question is not whether emerging managers can deliver risk-adjusted alpha. The data show they do. The question is whether institutional investors will measure risk in a way that lets them see it.

The Architecture of Returns, 2026