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Beware of the ‘Ponzi funds’ that are hiding in plain sight, says strategist

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New investors can pay for the gains of previous investors when illiquid ETFs surge in value.
New investors can pay for the gains of previous investors when illiquid ETFs surge in value. – Getty Images/iStockphoto

It was a lot more beat than raise from Nvidia in the chipmaker’s third-quarter results released late Wednesday, though there was nothing in the report to suggest that artificial-intelligence mania is anywhere near an end.

There’s a lot of talk of bubbles at the moment — AI, crypto, media companies owned by a particular politician. Joachim Klement, head of strategy at Liberum in London, offers a cautionary tale about the rise of exchange-traded funds. Some, like the ones that track the S&P 500, are broadly diversified and liquid. But many other ETFs are not — they’re thematic and invest in just a small number of specialized companies.

Klement draws on a research paper written earlier this year, with the very blunt title, “Ponzi Funds.” In that piece, authors Philippe van der Beck, Jean-Philippe Bouchaud and Dario Villamaina find a feedback loop, from ETFs to stocks, and then back to ETFs. “Investors are unable to identify whether realized returns are self-inflated or fundamental. Because investors chase self-inflated fund returns at a high frequency, even short-lived impact meaningfully affects fund flows at longer time scales,” they say.

The researchers are quick to emphasize that the ETF providers themselves are not operating literal Ponzi schemes as defined by the U.S. Securities and Exchange Commission. But they note that Archegos Capital Management — where Bill Hwang was just sentenced to 18 years in prison — was an example where returns from an investment fund trading concentrated positions can be driven by the fund’s own activity. And they say that, like Ponzi schemes, “the wealth reallocation from self-inflated returns unravels once the price impact in the underlying securities reverts and investors stop misinterpreting self-inflated returns as managerial skill.”

The researchers point to one “large thematic ETF” with a chart that is strikingly similar to the Ark Innovation ETF ARKK, where its raw daily returns and flow-induced trades were over 40% correlated. Its positions were 20 times larger than the daily dollar volume in those securities, they said. That resulted in situations where the fund was buying 20% of the daily volume of the underlying stocks and stirring that feedback loop.

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