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Smart Money, Closed Doors

Value Added and Entry Deterrence in Venture Capital Networks

Morteza Aghajanzadeh · 2026

Exit rates and portfolio focus across venture capital markets of differing syndication density
Exit rates and portfolio focus across venture capital markets of differing syndication density.
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This paper is one of two on venture capital networks. Its companion, Networks as Enforcement, studies the dynamic conditions under which the coordination this paper measures can be sustained.

Abstract

Venture capital firms connected to dense syndication networks fund companies that exit more often. This paper asks how much of that premium reflects value the investors create, and how much reflects entry they prevent. I build a structural model in which an investor's existing portfolio gives it a motive to withhold funding from entrants that would compete with its own companies, while the syndication network supplies the reach that makes such withholding effective: a company turned down by one investor can also be turned away by that investor's partners, and by their partners in turn. The model delivers a "blocking wall" whose height is a function of network position, and it separates the part of the wall that operates through mechanical network reach from the part that requires investors to coordinate. I estimate the model on venture capital deals from PitchBook and SDC Platinum using a two-step matching estimator, and I show which components of the mechanism the data identify and which they can only bound. Counterfactuals quantify what the network premium is worth to funded companies and what it costs the companies that never get funded.

Key mechanisms

  1. Assortative matching — well-connected investors systematically match with higher-quality companies, so raw performance comparisons overstate what the network does.
  2. Value added — network access genuinely improves a portfolio company's odds of a successful exit.
  3. Entry deterrence — an investor's stake in an incumbent creates an incentive to deny funding to a competing entrant, and the syndication network propagates that denial beyond the investor who makes it.
  4. What the data can and cannot tell apart — the value-added and cannibalization channels are estimated precisely; the coordination component of the wall is only partially identified and is reported as a bound rather than a point estimate.

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