Market Chaos Ahead? Why Today’s Data Drop Could Trigger a Rate Cut

By Market Rebellion

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Key Concepts

  • Producer Price Index (PPI)
  • Federal Reserve (Fed) / Chairman Powell (JPAL)
  • Monetary Policy
  • Inflation
  • Bureau of Labor Statistics (BLS)
  • Consumer Price Index (CPI)
  • Jobs Report
  • Government Shutdown
  • Real-time Data / Private Sector Data
  • Smart Money
  • Basis Point Cut

The Most Market-Moving Indicator and Fed's Focus

Mark Le Prey, Chief Market Strategist and CEO of Market Rebellion, identifies the Producer Price Index (PPI) as the most market-moving indicator, particularly because it is one of Chairman Powell's ("JPAL") two favorite gauges of inflation. He emphasizes that monetary policy decisions are made by a "whole band of Fed governors," not just Chairman Powell.

The market is closely watching the September PPI data, with expectations for a print of 0% to 0.1% month-over-month (essentially flat and easing) and around 2.4% year-over-year. Le Prey expects these figures to be met, as the September data predates the impact of the government shutdown that is anticipated to affect October data. Achieving these numbers is crucial for keeping a 25 basis point cut on the radar for the following week. A basis point cut refers to a reduction in interest rates, where one basis point equals 0.01%.

Impact of Data Delays and Government Shutdown on Fed Decisions

The discussion addresses the confusion surrounding the Fed's December rate decision, especially given the cancellation of the October CPI (Consumer Price Index) and Jobs Report due to the BLS (Bureau of Labor Statistics) being unable to collect data during the government shutdown. This situation has been described as "driving in a fog."

Le Prey strongly refutes the idea that these delays significantly complicate the Fed's decision-making for "smart money." He argues that professional traders on Wall Street, including hedge funds and individual traders, do not rely on the BLS data, which he describes as "compiled with surveys that are sent in the mail that are dated, antiquated." He points out that by December, discussing September data is already outdated. Instead, professional traders utilize "real-time data that they get minute by minute, tick by tick." Therefore, he believes that unless there's a significant difference in expectation that could create headlines, the BLS delay "is not going to matter that much." He asserts, "Smart money knows where the numbers are at. They're not waiting for the BLS to be released."

Reliability of Private Sector Data for the Fed

The conversation then shifts to whether the Fed can truly rely on "patchwork indicators" from the private sector, especially given the unpredictable nature of inflation. Le Prey dismisses this concern as "a bit of an excuse." He contends that "the data is available for the world's largest money managers to be able to successfully navigate using private data."

He provides supporting evidence by noting that the Fed itself, through commentary from various Fed governors during the government shutdown, "has admitted that they've been looking to many of those reliable private data sources." While acknowledging that private data forms a "patchwork" and lacks the "one singular elegant unified BLS official print," Le Prey emphasizes that the data is accurate and accessible "if you know how to read it." He uses the analogy, "Governments move like aircraft carriers, not speedboats," to illustrate that it will take time for government bodies to fully transition to relying on this patchwork of private data.


Conclusion

The core takeaway is that while official government data from the BLS may be delayed and considered antiquated by professional traders, real-time private sector data is readily available and sufficiently accurate for navigating market conditions and informing monetary policy decisions. The PPI remains a critical indicator for the Fed, and its expected September print is key to potential interest rate adjustments. Mark Le Prey's perspective highlights a significant disconnect between the public perception of data reliance and the actual practices of "smart money" and, increasingly, the Fed itself.

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