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Darkest quant fears ring true in $1T world of smart beta

Of more than 700 U.S.-listed smart-beta ETFs, about 60% have undershot their indexes since the start of this year, according to data compiled by Bloomberg.
Of more than 700 U.S.-listed smart-beta ETFs, about 60% have undershot their indexes since the start of this year, according to data compiled by Bloomberg.
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It’s every quant’s nightmare: Trades that look good on paper break down in the real world. And in the $1 trillion business of smart-beta investing, it’s happening on an industrial scale.

According to a new study, hundreds of strategies that showed significant outperformance in backtesting are failing to live up to their hype once they are packaged up and sold as ETFs.

The average above-market return for smart-beta strategies is 2.77% per year before they are listed. That flips to a loss of 0.44% after fees once they actually become ETFs, according to researchers Yang Song at the University of Washington and Shiyang Huang and Hong Xiang at the University of Hong Kong.

“Stellar performance only exists in backtests and has no indicative power for ‘real’ performance,” the authors wrote. “We find strong support that data mining in backtests accounts for the performance deterioration.”

Investors may be put off by the costs associated with these funds, which had an average expense ratio of more than triple their peers.
July 15

In other words, ETF sponsors are finding strategies that worked brilliantly according to their historic data — but which aren’t working now.

Of more than 700 U.S.-listed smart-beta ETFs, about 60% have undershot their indexes since the start of this year, according to data compiled by Bloomberg. The median fund has lost about 1.5% on a total return basis, compared with a more than 10% gain for the Vanguard Total Stock Market ETF.

Under Fire
The booming smart-beta industry accounts for more than a fifth of the $4.8 trillion U.S. ETF market.

It’s a blend of active and passive investing which seeks to deploy popular quant strategies in an ETF wrapper. Rather than weight stocks simply by market capitalization like a vanilla index fund, it typically uses factors such as how cheap they are or their growth potential.

The research, titled “The Smart Beta Mirage,” is the latest in a series of criticisms leveled at industry, but it still has plenty of advocates. The strategies used by the investing style are designed to work over the long-term, so periods of underperformance are expected, and deviation from the benchmark is practically by design.

Smart beta fans like Rob Arnott of Research Affiliates have repeatedly argued the basic concept of breaking the link between market capitalization and weighting in a portfolio still holds good — even if the industry’s breakneck growth has stretched the definition.

Nonetheless, the new study’s findings echo much earlier observations in the ETF sphere.

A white paper from Vanguard in 2012 identified a pattern among indexes created for fund launches using backfilled performance data, in which most fared well before inception but generated weaker returns once turned into ETFs. —Additional reporting by Yusuke Takeshita and Claire Ballentine

Bloomberg News