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White Paper II The Architecture of Returns Why emerging venture capital managers are more risk-efficient.
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We study how venture capital works, how it shapes who builds technology, and who benefits. We make our research open, inform capital and technology policy, and bring people together to put the evidence to use.

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Emerging funds scored higher on two risk-efficiency measures.

Group averages in White Paper II: two constructed efficiency measures and four conventional performance 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
RVPInot significantEstablished0.83xEmerging0.87x

Emerging funds had higher averages on both efficiency measures, IRR, TVPI and DPI. The RVPI difference was not statistically reliable. These are historical group comparisons; they do not predict a particular fund’s outcome.

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

The evidence base

Two studies, with the evidence behind each made clear.

2,142U.S. venture funds in White Paper II
2000–2024Vintage years covered, more than three market cycles
$125MMedian fund size in the sample
53.6%Share classified as emerging in White Paper II

Research

Research

White paper II · Forthcoming · Venture performance

The Architecture of Returns: Why Emerging Venture Capital Managers Are More Risk-Efficient

In White Paper II, emerging funds had a roughly 47% higher average return-to-dispersion score. Their TVPI averaged 28% above their vintage’s median, compared with 9% for established funds. Differences persisted after the study’s measured controls. The paper explains what those comparisons can, and cannot, tell us.

White paper I · Published · Venture performance

Why Emerging Venture Capital Managers Matter: Rethinking Institutional Portfolio Construction

White Paper I compares performance across 2,471 U.S. venture funds. Emerging funds had higher average returns in the historical sample, raising a practical question: what might screens based on firm age, fund sequence and assets under management miss?

Latest notes

All notes

Market context

Where venture capital is flowing.

In the first half of 2026, funds of $1 billion or more took 68.3% of every dollar committed to U.S. venture, up from 36.1% a year earlier, and twelve firms accounted for nearly three quarters of all commitments. Funds under $50 million made up 67.7% of every fund that closed, a decade high, and raised 4% of the money.

Concentration makes the question of access more pressing. Our research asks what performance data can tell us about the managers conventional screens may leave out.

Two thirds of the funds. Four percent of the money.

U.S. venture funds under $50 million, first half of 2026.

Share of funds67.7%Share of capital4%

Funds of $1 billion or more took 68.3% of every dollar committed to U.S. venture in the same period, up from 36.1% a year earlier, and twelve firms accounted for nearly three quarters of all commitments.

PitchBook • Stanford & Gao, 2026

Diagnostics

Free tools built from the published findings.

Our first paper has two free self-assessments: one for allocators and one for managers. Each takes about fifteen minutes and requires no account. Two more are forthcoming with White Paper II.

Live

LP Diagnostic

Review the screens your venture program uses and the assumptions behind them. A starting point for discussing how you find and assess managers.

Open the LP Diagnostic
Live

GP Diagnostic

Review how your fund’s strategy, resources and operating readiness fit together, and prepare for the questions an allocator may ask.

Open the GP Diagnostic
Forthcoming

Configuration Coherence Diagnostic, Allocator edition

Use information from a data room to examine whether a fund’s portfolio plan fits its resources. The assessment explains the reasoning behind its result.

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Forthcoming

Configuration Coherence Diagnostic, Manager edition

A version for managers who want to examine their portfolio plan, including before a track record exists.

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How we measure risk shapes what we see. These findings invite a closer look at emerging managers, using measures that make the comparison and its limits clear.

Colibrí Institute · Research summary

Waitlist

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The Architecture of Returns and both editions of the Configuration Coherence Diagnostic will be free to access. Join the research list and we will let you know when they are available.

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For the investment committee

A two-page summary, exhibit pack and citation in three formats will accompany the paper, making it easier to bring the evidence into a discussion.

Advance copies

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