Alpha Architect U.S. Quantitative Momentum ETF (QMOM) — Stock Correlations & Overview

Over the past year, QMOM has moved most closely with VFMO, PDP, XMMO. Explore the stocks most correlated and inversely correlated with QMOM below, along with its price, financials, and company profile.

Stocks correlated with QMOM

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

Most correlated with QMOM

SymbolCompanyCorrelation
VFMOVanguard U.S. Momentum Factor ETF0.94
PDPInvesco Exchange-Traded Fund Trust Invesco Dorsey Wright Momentum ETF0.93
XMMOInvesco S&P MidCap Momentum ETF0.91
FTCFirst Trust Large Cap Growth AlphaDEX Fund (based on the Defined Large Cap Growth Index--symbol DEFILGOI)0.91
FADFirst Trust Multi Cap Growth AlphaDEX Fund0.91

Most inversely correlated with QMOM

SymbolCompanyCorrelation
HIBSDirexion Daily S&P 500 High Beta Bear 3X ETF-0.85
SOXSDirexion Daily Semiconductor Bear 3X ETF-0.82
BTALAGF U.S. Market Neutral Anti-Beta Fund-0.81
TZADirexion Daily Small Cap Bear 3x ETF-0.81
TWMProShares UltraShort Russell2000-0.81

Frequently asked questions about QMOM correlations

Which stocks are most correlated with QMOM?
Based on one year of daily returns, the stocks most correlated with Alpha Architect U.S. Quantitative Momentum ETF (QMOM) are VFMO (0.94), PDP (0.93) and XMMO (0.91). 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 QMOM?
Over the past year, the stocks most inversely correlated with Alpha Architect U.S. Quantitative Momentum ETF (QMOM) are HIBS (-0.85), SOXS (-0.82) and BTAL (-0.81). 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 QMOM correlations calculated?
We compute the correlation of daily returns between QMOM 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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