How Wall Street Learned About Last Week’s Labor Data Before the Public

Banks and research firms that serve hedge funds managed to confirm a closely-watched economic data last week as much as 20 minutes before the data was posted online, giving them a possible jump on financial market trading — the latest in a series of lapses at the Bureau of Labor Statistics.

Now, details into what happened are beginning to emerge.

A technical issue prevented the data, which showed a large downward revision to job growth in 2023 and early 2024, from publishing on the agency’s website at 10 a.m. as scheduled last Wednesday, according to details provided by the Department of Labor.

In response, agency technology staff began to load the data onto the site manually. At that point, starting a bit after 10:10 a.m., other bureau staff could see the update on the website — even though it wouldn’t be visible to the public until 10:32 a.m. And bureau staff began replying to people, including Wall Street firms, who called or emailed with questions. That enabled some to get access to key data before others.

It isn’t clear how many investors got early access to the data, or whether anyone actually traded on the information. The revisions ultimately did not have a huge effect on stock markets. But the fact that Wall Street funds that make money by betting on every minor move in economic data — including reports like this one — managed to access the figures before the public at large has raised serious questions about what happened.

Part of the problem, according to the information provided by the department, is that the payroll revision data was not considered a “news release” like the monthly jobs data and inflation numbers. Those data are subject to strict to controls to avoid leaks. Instead, it was considered a “website release,” which has fewer guardrails.

Unlike with a news release, the bureau had no backup plan to make sure there was a way to quickly push a website update out to the broader public, such as with prepared social media posts of data highlights.