The ETF launch machine is outrunning its market makers
Complex products are being listed faster than the desks that quote them can price the baskets behind them.
The numbers that carry the ETF boom all measure the same side of the trade. Inflows, launches, record assets: each counts money arriving, and none of them answers the question a holder asks in a drawdown, which is whether a market will still be there when the money wants out. Sylvain Thieullent, chief executive of Horizon Trading Solutions, used a column for ETF Express to argue that the answer is getting harder to give, and that the difficulty climbs in step with the complexity of the products the industry is proudest of launching.
His subject is European ETF growth, though the mechanism he describes is not a continental one. Market makers, in his account, have stopped being a function attached to plain equity funds and become a pricing and hedging operation spanning multiple asset classes, currencies, venues and time zones, supporting products whose underlying components trade on different venues and in different market hours. What the screen shows an investor is, in his phrase, the tip of an iceberg. Underneath sits the modeled basket, a theoretical value recalculated continuously from live market data, and hedging decisions taken dynamically across instruments.
He organizes the work into four connected stages: building the basket, pricing it, quoting it, hedging it. Each feeds the next, and a weakness in basket construction or pricing can affect the quote that follows. When a fund's complexity outruns a firm's ability to model what sits inside it, the cost lands on the price a seller gets.
One disclosure before the argument gets its due. The firm Thieullent runs carries trading solutions in its name, and a case for market makers investing in sharper infrastructure is a case trading-technology firms are well placed to make. That does not make it wrong, and the column argues capability rather than any named product. It does mean the argument concerns the half of ETF economics that never appears in an expense ratio, and so never appears in the fee debate the industry conducts in public.
Four stages, and the weakest sets the quote
Complexity, as the column frames it, has arrived from three directions at once: active strategies, thematic funds, and products built to deliver crypto exposure. All three are part of the innovation that fueled the market's growth, and all three broaden the range of risks and the complexity of the workflow that liquidity providers carry. The claim is not that any of these products is unquotable. It is that the range of what a desk must price has widened faster than the machinery behind the quote.
Two of the three shift the burden in ways the index era did not. A thematic basket narrows toward a handful of correlated names, which leaves the theoretical price more exposed to any single constituent, and a fund holding crypto exposure can be quoting while parts of its basket are not trading at all. Active strategies add a third wrinkle, and here the column is thinner than the problem deserves: a discretionary portfolio is knowable only as fast as its manager discloses it, which suggests the pricing burden moves with disclosure practice rather than with an index provider's rulebook. That last step is our inference, not the column's, and it is where the wrapper's promise of intraday liquidity meets its least observable input.
The multi-venue, multi-currency part of the description deserves its own weight. If components trade on different venues and in different market hours, the theoretical value drifts while the fund's own shares sit still, and the desk carries that drift into the next open; hedging it requires instruments that only partly line up with the basket. That is inference from the column's description rather than a claim it makes, but it is the part of the story a launch document has no place to record, and it is where the four stages stop being a workflow and start being a budget.
The column's central claim is that whether innovation translates into sustainable secondary-market liquidity now depends on whether liquidity providers can support the products at all. The spread is where that dependence gets priced, and it is the one price the industry does not advertise.
The spread is where that dependence gets priced, and it is the one price the industry does not advertise.
The launch calendar has no line for the last mile
This publication has argued that issuers are treating tickers as inventory and that the shelf will be cleared by closures rather than by advisor demand. Market-making capacity adds a filter that runs ahead of that one. A fund can gather assets, hold a listing and still fail the test that matters to the investor who needs to sell on a bad afternoon, and the failure originates in the two stages a launch calendar never asks about: how the basket is built and how it is priced. Fees get negotiated with platforms. Baskets get priced by whoever is willing to warehouse the risk in between.
Active strategies sharpen the point. The active ETF wave has been wrapper migration more than a revival of security selection, and the cost of quoting a discretionary basket lands somewhere between the issuer's margin and the investor's spread. Somebody pays for the modeling work, and the launch economics of the past few years have not settled on who. The issuers expanding into thematic and crypto-exposure products are, on this reading, drawing on dealer balance sheets without booking the liability, and the four-stage pipeline is where that comes due if a desk's capacity stops keeping pace with the shelf.
Complexity is the business now, and it should be. What matters is reading launch announcements the way a desk reads them, basket first. The four stages hand the industry a diagnostic it currently keeps in the back office. If complexity is outrunning quoting and hedging capacity, the evidence will not show up in flows, which measure demand, nor in assets, which measure sales.
The evidence will show up in the spread, on the days when the spread matters. Watch the newest thematic and crypto-exposure listings through the next volatile session; the funds whose baskets are hardest to model should be the first to show it, and the quote will move before any monthly flow report does.
| Stage | What the desk does | Where it breaks |
|---|---|---|
| Basket construction | Models the fund's underlying components | Correlated or thinly traded constituents |
| Pricing | Recalculates a theoretical value from live data | Disclosure gaps in discretionary portfolios |
| Quoting | Publishes a price on screen | A weak basket or price feeds straight through |
| Hedging | Trades dynamically across instruments | Instruments that only partly match the basket |