Cross-Fund Concentration

Reading concentration when you only have one fund

A firm with one fund gets the same reading as a firm with four, with the cross-fund framing collapsing to a within-fund view and the arithmetic unchanged. It is also the case where the reading is most useful, because a single-fund firm is usually still deploying.

It still computes

The cross-fund framing collapses to a within-fund concentration view, and the arithmetic underneath is identical: the same sector distribution, the same single-company exposures, the same descriptive stage and geography views, the same score.

Nothing is switched off and nothing is approximated. The engine reads across every fund the firm runs; for a single-fund firm that set has one member.

Why it is not redundant with the fund-level engines

The natural objection is that a single-fund firm already sees its portfolio in Portfolio Efficiency, so a firm-level view of the same capital adds nothing. The two are reading different things.

Portfolio Efficiency reads the fund's declared configuration: target portfolio count, target ownership, declared scope, and the rest. It is a reading of intent. This engine reads what the fund has actually deployed, position by position, in the sectors and companies the money actually went to.

So a single-fund firm can hold a perfectly coherent configuration and a concentrated book at the same time. The plan said twenty-five companies across a focused scope; the deployment so far has put a third of the capital into two companies in one sector. Both readings are correct and they are answering different questions.

Where it is most useful

This is the case where the reading is most actionable, for a simple reason: a single-fund firm is usually still deploying. A firm on its fourth fund reading its concentration is largely reading history. A firm halfway through its first is reading a position it can still change, with capital left to change it with.

Single-company exposure in particular behaves differently early. In a fund that has made eight of a planned twenty-five investments, one position can be a large share of deployed capital simply because so little has been deployed. That is arithmetic rather than concentration, and it resolves as the portfolio fills. The reading worth watching is whether it resolves, or whether follow-ons keep pace with new positions and the share holds.

It is the baseline for the firm you are about to become

The more consequential reason to read this on a single-fund firm is that Fund I is the firm's entire history at the moment Fund II is being constructed.

Every cross-fund pattern that eventually gets flagged starts as a single-fund pattern that nobody read. The sector a firm concentrates in across three funds is the sector it concentrated in during the first. The company that ends up a large firm-level exposure is one the first fund backed and the second followed into. A General Partner who knows the shape of Fund I's book is constructing Fund II with that information; one who does not is about to repeat it by default, because the conviction that produced the first shape has not changed.

This is also the point at which a firm can decide that repeating the shape is what it wants. Doubling down on a sector across two funds is a legitimate strategy and often the right one. The difference between that and drift is whether it was chosen.

One reading that changes with a second fund

Industry scope resolution is the one part that behaves differently. For a single-fund firm, the firm's scope is that fund's scope, resolved without ambiguity. Once a second fund exists with a different declared scope, the engine has to weigh them by deployed capital, and a firm in transition can read as ambiguous.

Worth knowing in advance, because it is not a data problem when it happens. It is an accurate description of a firm whose two funds describe themselves differently, and the fix is a decision about what the firm is rather than a correction to a record. How much of your firm sits in one sector covers how that resolution works.

Take it to your own fund

Run the model on your own fund.

The platform reads the Colibrí Architecture model against your own firm and funds.