A potential government shutdown, with a 68% probability, threatens to delay crucial economic data like the jobs report and CPI, unlike the 2018-19 shutdown, which is critical for the Federal Reserve's ongoing interest rate decisions. This disruption could complicate the Fed's October policy meeting, as it relies heavily on these metrics for future cuts. While the S&P 500 has historically shown a neutral average return during shutdowns, Deutsche Bank estimates each week of closure could reduce quarterly GDP by 0.2%, with risks of more lasting economic impacts this time due to potential deeper federal workforce cuts.
A government shutdown, assigned a 68% probability by prediction markets, poses a significant near-term risk by threatening the timely release of the monthly jobs report and Consumer Price Index. This potential data blackout creates considerable uncertainty for the Federal Reserve, which has signaled its upcoming interest rate decisions are data-dependent, complicating the late-October meeting where markets are pricing in an 89% chance of a rate cut. Unlike the 2018-2019 shutdown, the Department of Labor is not pre-funded, making a data delay similar to the 2013 event highly probable. Economically, Deutsche Bank estimates each week of a shutdown will reduce quarterly GDP by 0.2 percentage points, primarily due to 800,000 furloughed federal workers and knock-on effects in the private sector. While historical S&P 500 performance during shutdowns averages 0%, the 10% rally during the last shutdown was driven by a dovish Fed pivot, a starkly different macro context from the current data-contingent environment. Alternative indicators like the ADP employment report and weekly jobless claims will provide some visibility but are not a perfect substitute for the official government statistics.
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