Nonfarm Payrolls vs S&P 500
Live side-by-side comparison with current values, changes, and key statistics.
Why This Comparison Matters
Payrolls growth and SPY typically move together during expansions. When payrolls decelerate but SPY rallies (goldilocks), markets price Fed easing. When payrolls stay strong but SPY sells off, hawkish Fed concerns dominate. The relationship captures how labor market data is filtered through Fed policy expectations into equity pricing.
Cross-Asset Analysis
This page pairs Nonfarm Payrolls (total nonfarm employment, the single most-watched monthly jobs number) against S&P 500 ETF (SPY) (SPDR S&P 500 ETF, tracks the benchmark US equity index) to surface the specific macro signal that lives in the cross asset pair relationship. The Labor Market and Equity Index domains share underlying drivers but split in sensitivity, and the Nonfarm Payrolls-S&P 500 ETF (SPY) spread surfaces those sensitivities. The connection between Nonfarm Payrolls and S&P 500 ETF (SPY) runs through shared macro drivers, and isolating the spread separates common factors from idiosyncratic noise.
Macro funds use the Nonfarm Payrolls-S&P 500 ETF (SPY) spread to express views cleaner than single-asset trades, pinpointing the specific macro factor they want to bet on. Nonfarm Payrolls and S&P 500 ETF (SPY) sit in different asset classes, and the relationship between them reveals cross-asset macro dynamics that neither alone can convey. Liquidity-driven regimes produce cross-asset co-movement in Nonfarm Payrolls and S&P 500 ETF (SPY); fundamentals-driven regimes produce separation.
In risk-on windows, correlations across asset classes normalize toward fair values, and the Nonfarm Payrolls-S&P 500 ETF (SPY) spread tends to obey its historical fair value. Risk-off regimes concentrate correlations and force the Nonfarm Payrolls-S&P 500 ETF (SPY) spread into cramped ranges.
90-Day Statistics
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Frequently Asked Questions
What is the relationship between Nonfarm Payrolls and S&P 500 ETF (SPY)?+
Nonfarm Payrolls and S&P 500 ETF (SPY) are connected through shared macro drivers across asset classes. When the dominant macro driver shifts, both respond, though with different sensitivities and at different speeds. The spread between Nonfarm Payrolls and S&P 500 ETF (SPY) captures the specific macro signal that flows through this relationship.
When does Nonfarm Payrolls typically lead S&P 500 ETF (SPY)?+
Nonfarm Payrolls tends to lead S&P 500 ETF (SPY) during macro regime changes, where the more liquid asset moves first. In those periods, moves in Nonfarm Payrolls precede corresponding moves in S&P 500 ETF (SPY) by days to weeks, depending on the transmission channel and the depth of each market.
How are Nonfarm Payrolls and S&P 500 ETF (SPY) historically correlated?+
Long-run correlation between Nonfarm Payrolls and S&P 500 ETF (SPY) varies by regime. Cross-asset correlations vary by regime, tending to tighten in stress and loosen during normal conditions. The correlation is not stable: it shifts with macro conditions, and the periods when it breaks down are often the most informative moments in the Nonfarm Payrolls-S&P 500 ETF (SPY) relationship.
What macro conditions drive divergence between Nonfarm Payrolls and S&P 500 ETF (SPY)?+
Divergence between Nonfarm Payrolls and S&P 500 ETF (SPY) typically arises from idiosyncratic shocks in one asset, policy interventions, or structural shifts in demand. When one asset's idiosyncratic drivers dominate, the spread moves in ways that the common macro story does not predict, which is usually a signal to look more carefully at the specific drivers at work in Nonfarm Payrolls or S&P 500 ETF (SPY).
Is Nonfarm Payrolls a hedge for S&P 500 ETF (SPY)?+
Cross-asset hedges between Nonfarm Payrolls and S&P 500 ETF (SPY) work when the macro drivers of the two assets are sufficiently decorrelated, which depends on the regime and therefore needs to be reviewed as conditions change. Effective hedging requires matching the hedge to the specific risk being protected, and the Nonfarm Payrolls-S&P 500 ETF (SPY) pair is best stress-tested under scenarios the investor most worries about before being sized into a real portfolio.
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Data sourced from FRED, CoinGecko, CBOE, and other providers. This page is for informational purposes only and does not constitute financial advice. Past performance does not guarantee future results.