Dimensional U.S. Small Cap ETF (DFAS) — Stock Correlations & Overview
Over the past year, DFAS has moved most closely with IJR, SPSM, FNDA. Explore the stocks most correlated and inversely correlated with DFAS below, along with its price, financials, and company profile.
Stocks correlated with DFAS
Correlation of daily returns. Higher positive values move with DFAS; negative values move opposite it. Informational only, not investment advice.
Most correlated with DFAS
| Symbol | Company | Correlation |
|---|---|---|
| IJR | iShares Core S&P Small-Cap ETF | 0.99 |
| SPSM | State Street SPDR Portfolio S&P 600 Small Cap ETF | 0.98 |
| FNDA | Schwab Fundamental U.S. Small Company ETF | 0.98 |
| VIOO | Vanguard S&P Small-Cap 600 ETF | 0.98 |
| QVMS | Invesco S&P SmallCap 600 QVM Multi-factor ETFINVESTMENT ADVICE | 0.98 |
Frequently asked questions about DFAS correlations
- Which stocks are most correlated with DFAS?
- Based on one year of daily returns, the stocks most correlated with Dimensional U.S. Small Cap ETF (DFAS) are IJR (0.99), SPSM (0.98) and FNDA (0.98). 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 DFAS?
- Over the past year, the stocks most inversely correlated with Dimensional U.S. Small Cap ETF (DFAS) are SDD (-0.98), SBB (-0.97) and SMDD (-0.96). 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 DFAS correlations calculated?
- We compute the correlation of daily returns between DFAS 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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