Day Hagan Smart Sector International ETF (SSXU) — Stock Correlations & Overview

Over the past year, SSXU has moved most closely with AVNM, EDGI, VXUS. Explore the stocks most correlated and inversely correlated with SSXU below, along with its price, financials, and company profile.

Stocks correlated with SSXU

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

Most correlated with SSXU

SymbolCompanyCorrelation
AVNMAvantis All International Markets Equity ETF0.94
EDGI3EDGE Dynamic International Equity ETF0.94
VXUSVanguard Total International Stock ETF0.93
VEUVanguard FTSE All-World Ex-US ETF0.93
AVDEAvantis International Equity ETF0.93

Most inversely correlated with SSXU

SymbolCompanyCorrelation
EFUProShares Trust UltraShort MSCI EAFE-0.90
EFZProShares Trust Short MSCI EAFE-0.88
EPVProShares UltraShort FTSE Europe-0.87
EWVProShares Trust UltraShort MSCI Japan-0.84
EDZDirexion Daily MSCI Emerging Markets Bear 3X ETF-0.83

Frequently asked questions about SSXU correlations

Which stocks are most correlated with SSXU?
Based on one year of daily returns, the stocks most correlated with Day Hagan Smart Sector International ETF (SSXU) are AVNM (0.94), EDGI (0.94) and VXUS (0.93). 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 SSXU?
Over the past year, the stocks most inversely correlated with Day Hagan Smart Sector International ETF (SSXU) are EFU (-0.90), EFZ (-0.88) and EPV (-0.87). 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 SSXU correlations calculated?
We compute the correlation of daily returns between SSXU 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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