State Street Financial Select Sector SPDR ETF (XLF) — Stock Correlations & Overview

Over the past year, XLF has moved most closely with VFH, FNCL, TFNS. Explore the stocks most correlated and inversely correlated with XLF below, along with its price, financials, and company profile.

Stocks correlated with XLF

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

Most correlated with XLF

SymbolCompanyCorrelation
VFHVanguard Financials ETF0.99
FNCLFidelity MSCI Financials Index ETF0.99
TFNST. Rowe Price Financials ETF0.99
FASDirexion Daily Financial Bull 3x ETF0.98
IYGiShares U.S. Financial Services ETF0.98

Most inversely correlated with XLF

SymbolCompanyCorrelation
FAZDirexion Daily Financial Bear 3x ETF-1.00
SKFProShares UltraShort Financials-0.99
SEFProShares Short Financials-0.99
BNKDMicroSectors U.S. Big Banks -3x Inverse Leveraged ETNs due February 17, 2045COMMERCIAL BANKS, NEC-0.85
DXDProShares UltraShort Dow 30-0.76

Frequently asked questions about XLF correlations

Which stocks are most correlated with XLF?
Based on one year of daily returns, the stocks most correlated with State Street Financial Select Sector SPDR ETF (XLF) are VFH (0.99), FNCL (0.99) and TFNS (0.99). 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 XLF?
Over the past year, the stocks most inversely correlated with State Street Financial Select Sector SPDR ETF (XLF) are FAZ (-1.00), SKF (-0.99) and SEF (-0.99). 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 XLF correlations calculated?
We compute the correlation of daily returns between XLF 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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