Companion files

The Evergreen Fund Handbook

Perpetual Capital, Liquidity and the Semi-Liquid Fund

These are the companion files of The Evergreen Fund Handbook by Julian R. Sterling.The book on Amazon →

One Excel workbook that settles an argument the industry has been having without arithmetic, now corrected. Around it, a blank version for your own fund, eleven working documents to print, forty questions that mark themselves, and three cases the book does not work. All free. Nothing is gated behind a sign-up, and no email address is asked for.

Everything on this page, in one archive

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Six workbooks, the printable documents and the read-me. Each group below can also be downloaded on its own. Last revised 22 September 2026.

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The workbook

The other four things it computes

What the sleeve costs. A 20 per cent sleeve earning 4.20 against a private portfolio earning 12.40 drags 164 basis points a year. Nobody collects it, it appears in no expense ratio, and it costs more than the management fee. It is the price of the redemption option, and Chapter 20 is right that it is the figure investors most want and most rarely receive.

What the share class costs. The same portfolio, on the same day: the institutional class nets 8.64 per cent and the retail class 7.55. A gap of 109 basis points, and 22 units of terminal wealth on a stake of 100 over ten years. Note the trap in the fee table — the retail class pays a smaller performance fee, precisely because it earned less.

What the PME hides. The conventional Kaplan-Schoar public market equivalent is 1.45×. Computed on committed capital, where the uncalled drag is visible, it is 1.14×. The standard measure overstates by 0.31 turns — a larger distortion than most of the methodological arguments it gets deployed to settle.

What the volatility hides. A 6.50 per cent standard deviation computed from appraised NAVs, with a first-order autocorrelation of 0.45, unsmooths to 10.55 per cent. The reported figure understates variability by nearly two fifths, and every Sharpe ratio built on it is 1.62 times what it should be: 0.683 reported, 0.421 unsmoothed. The first edition of the workbook said 12.96 and “twice”; its factor squared the autocorrelation where it should not have.

What to try first

Change the cash rate. It moves both sides of the comparison at once — the evergreen sleeve earns it, and the closed-ended investor’s uncalled capital earns it. Drop it to one per cent and the committed-capital argument swings hard back toward the closed-ended fund. Which is exactly what happened to this argument through the 2010s, and why it is a better argument now than it was then. Worth knowing which way the wind is blowing before building a pitch on it.

What the arithmetic does not settle

Two caveats, both of which cut against the evergreen fund, and both of which anyone using this argument will be asked about. A mature allocator does not leave uncalled capital in cash — distributions from earlier vintages fund later calls, and once a programme is self-funding the drag largely disappears; the comparison here describes an investor with one commitment, not a running allocation. And all of it assumes the evergreen fund’s gross return is the same asset return as the closed-ended fund’s. If the need for liquidity pushes it toward larger, more intermediated deals, the comparison shifts before any of the arithmetic begins. Case one below takes the second caveat to a number: to pay 2.30× net, the appendix’s closed-ended fund must earn about 21.3 per cent gross, not 12.40.

The same model, for your own fund

The workbook with every input emptied. Enter your own fund and the drawdown fund you are compared with; the checks sheet counts what is still missing and tests what holds for any inputs.

The documents the chapters describe

Eleven pages to print and use. A4, with margins wide enough for US Letter.

Forty questions, marked by the file

A workbook that marks itself. Answer in the yellow cells; the marking fills in as you go.

Three cases the book does not work

New material, not a restatement. Three situations the chapters name and never take to a number. Each case is one workbook: the note is the first sheet, the model is the rest, and a checks sheet closes it. Type your own figures in and every finding recomputes.

Conventions used throughout

Amber fillan input — you may edit these
Grey filla formula — do not overtype these
Checks sheettwenty-seven controls, each stating its own verdict

Every figure is illustrative, as everything in the book is. What is not illustrative is the shape of the result, which holds for any plausible set of inputs. The workbook was verified by headless recalculation rather than by trusting the formulas as written; all twenty-seven checks pass.

Opening the file

The workbook opens in Microsoft Excel, LibreOffice Calc, Google Sheets and Numbers. It uses no macros and no add-ins, so nothing needs to be enabled or trusted. If your spreadsheet asks to update links on opening, decline — there are none.

What changed, and when

22 Sep 2026The book’s workbook corrected: the unsmoothing factor is √(1+ρ)/√(1−ρ), 1.6237 at an autocorrelation of 0.45, so the unsmoothed volatility is 10.55 per cent, not 12.96, and the Sharpe ratio falls to 0.421, not 0.343; the tie multiple on the committed-capital sheet is now a formula. Added: a blank version, eleven working documents, forty questions that mark themselves and three new cases. The workbook can now also be downloaded on its own.

Articles on this book

9 of the calculations in this workbook, worked out in full. All articles.

Also by Julian R. Sterling

The other books with companion files. The full list of titles is on the author page.

Go beyond the companion files

The Evergreen Fund Handbook develops the complete framework behind these models, with the assumptions, trade-offs and worked examples tied together.

View the book on Amazon

These files accompany The Evergreen Fund Handbook. The book is on Amazon.

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