PGIM S&P 500 Max Buffer ETF - September (PMSE) — Stock Correlations & Overview

Over the past year, PMSE has moved most closely with DLAG, PSEP, FAUG. Explore the stocks most correlated and inversely correlated with PMSE below, along with its price, financials, and company profile.

Stocks correlated with PMSE

Correlation of daily returns. Higher positive values move with PMSE; negative values move opposite it. Informational only, not investment advice.

Most correlated with PMSE

SymbolCompanyCorrelation
DLAGFT Vest U.S. Equity Dual Directional Buffer ETF - August0.90
PSEPInnovator U.S. Equity Power Buffer ETF - September0.89
FAUGFT Vest U.S. Equity Buffer ETF - August0.89
DAUGFT Vest U.S. Equity Deep Buffer ETF - August0.89
BSEPInnovator U.S. Equity Buffer ETF - September0.89

Most inversely correlated with PMSE

SymbolCompanyCorrelation
SDSProShares UltraShort S&P500-0.85
SPXUProShares UltraPro Short S&P 500-0.85
SPXSDirexion Daily S&P 500 Bear 3x ETF-0.85
SHProShares Short S&P500-0.85
SPDNDirexion Daily S&P 500 Bear 1X ETF-0.84

Frequently asked questions about PMSE correlations

Which stocks are most correlated with PMSE?
Based on one year of daily returns, the stocks most correlated with PGIM S&P 500 Max Buffer ETF - September (PMSE) are DLAG (0.90), PSEP (0.89) and FAUG (0.89). A correlation near 1.00 means the two stocks' daily moves have tracked each other closely over the period.
Which stocks are inversely correlated with PMSE?
Over the past year, the stocks most inversely correlated with PGIM S&P 500 Max Buffer ETF - September (PMSE) are SDS (-0.85), SPXU (-0.85) and SPXS (-0.85). A negative correlation means the two stocks have tended to move in opposite directions.
What does a correlation of 0.8 mean for a stock?
Correlation measures how closely two stocks' daily returns move together, on a scale from -1 to 1. At 0.8, the two stocks have moved in the same direction on most days — though not by identical amounts. A value near 0 means their moves have been unrelated, and a negative value means they have tended to move in opposite directions. Correlation reflects past behavior and can change over time.
How are these PMSE correlations calculated?
We compute the correlation of daily returns between PMSE and roughly 9,000 other US-listed stocks and ETFs over the trailing one-year window, then rank the strongest positive and negative relationships. The data is refreshed monthly. It is informational and educational only — not investment advice.
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