Schwab U.S Small- Cap ETF (SCHA) — Stock Correlations & Overview
Over the past year, SCHA has moved most closely with ESML, SCHM, OASC. Explore the stocks most correlated and inversely correlated with SCHA below, along with its price, financials, and company profile.
Stocks correlated with SCHA
Correlation of daily returns. Higher positive values move with SCHA; negative values move opposite it. Informational only, not investment advice.
Most correlated with SCHA
| Symbol | Company | Correlation |
|---|---|---|
| ESML | iShares ESG Aware MSCI USA Small-Cap ETF | 0.98 |
| SCHM | Schwab U.S. Mid-Cap ETF | 0.97 |
| OASC | OneAscent Enhanced Small and Mid Cap ETF | 0.96 |
| RUSC | Russell Investments Exchange Traded Funds Russell Investments U.S. Small Cap Equity ETF | 0.96 |
| SMMD | iShares Russell 2500 ETF | 0.96 |
Frequently asked questions about SCHA correlations
- Which stocks are most correlated with SCHA?
- Based on one year of daily returns, the stocks most correlated with Schwab U.S Small- Cap ETF (SCHA) are ESML (0.98), SCHM (0.97) and OASC (0.96). 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 SCHA?
- Over the past year, the stocks most inversely correlated with Schwab U.S Small- Cap ETF (SCHA) are TZA (-0.96), SRTY (-0.96) and TWM (-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 SCHA correlations calculated?
- We compute the correlation of daily returns between SCHA 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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