Field notes & methodology

The 45-day identification window is usually described as a deadline problem. It is more precisely a search problem, and the distinction changes how you beat it.

A 1031 exchanger does not lack time in the abstract; they lack time relative to the cost of evaluating each candidate. The conventional buy-side workflow searches blind on listing metadata (cap rate, price, tenant name), pulls the offering memorandum, underwrites it, and discards roughly four of every five candidates after the underwriting, not before it. The expensive step happens late, on deals that were never going to pencil. That is friction in the technical sense: effort spent on matches that fail.

The search-and-matching literature in economics formalizes exactly this. In the Diamond-Mortensen-Pissarides framework, a market clears efficiently when the cost of search is balanced against the rate at which good matches form; the Hosios condition states when that balance is reached. Achieving it exactly in commercial real estate is impossible, because the bargaining set is never fully observable. The narrower claim is provable: reduce the cost of evaluating each candidate, and the same 45 days buys more identifications.

That is the whole mechanic. Underwrite every deal in the universe to the buyer’s actual scenario first, then let them search the pre-underwritten pool. Time stops going to deals that do not survive the buyer’s downside; it goes only to the ones that already do. The clock did not get longer. The work moved to the front, and most of it stopped being repeated.

A Dark Shell Score answers one question: if the tenant goes dark at lease expiration and you must re-lease an empty building, how much of your original equity survives? It is a ratio first and a 0–100 score second.

Start with the ratio. Net terminal equity divided by original equity. The numerator is what you walk out with after the bad outcome: the re-leased terminal value, less the remaining debt, less the vacancy carry while the box sits empty, less the cost to re-tenant it, less the cost to sell. A survival ratio of 0.64× means sixty-four cents of every equity dollar survives the dark-shell scenario. That is a number a buyer reacts to without needing the methodology.

Then read it across three scenarios, not one. Base, bear, and stress run the same decomposition under progressively harder assumptions on vacancy period, market-rent reset, and exit cap. A deal can look strong at 0.64× base and still fall to 0.14× in stress; the spread between them is the real signal. The headline band is a downside-weighted composite, so the stress case dominates the score without erasing base-case resilience.

What the score does not do is predict whether the tenant renews. That is the discipline of the method: it measures the floor under a bad outcome rather than forecasting a good one. Read the band for magnitude, read the three scenarios for shape, and read the worked decomposition when the deal is close. Ninety seconds, and you know what your equity is standing on.

There is a band of single-tenant net-lease assets that sits below the institutional bid and above the retail-broker floor, roughly the one-to-ten-million-dollar range, and it is the part of the market almost nobody underwrites tenant-out.

Above it, the institutional buyers run full downside models on every acquisition; the assets are priced by desks that already did the work. Below it, the smallest deals trade on cap rate and tenant logo, and the buyer is often a first-time exchanger redeploying the proceeds of a sale they spent thirty years building toward. The middle band inherits the worst of both: institutional-quality leases priced by a process that never stress-tests them.

The mispricing is specific. Two assets at the same 6.5% asking cap can carry very different survival ratios once you model the dark-shell case, because the basis, the remaining term, the re-lease economics of the box, and the submarket’s actual re-lease velocity diverge. The market prices the cap rate. It does not price the worst day. A buyer who underwrites the worst day is buying a different, better-understood asset at the same number.

This is not a claim that the band is cheap in aggregate. It is a claim that it is unsorted. The opportunity is not a discount; it is the ability to tell, before you identify, which deal at a given cap rate has the worst day that is actually best. That sorting is the product. The mispricing is what funds it.