Schwab Emerging Markets Equity ETF (SCHE) — Stock Correlations & Overview
Over the past year, SCHE has moved most closely with VWO, SPEM, GMF. Explore the stocks most correlated and inversely correlated with SCHE below, along with its price, financials, and company profile.
Stocks correlated with SCHE
Correlation of daily returns. Higher positive values move with SCHE; negative values move opposite it. Informational only, not investment advice.
Most correlated with SCHE
| Symbol | Company | Correlation |
|---|---|---|
| VWO | Vanguard FTSE Emerging Markets ETF | 0.98 |
| SPEM | State Street SPDR Portfolio Emerging Markets ETF | 0.98 |
| GMF | State Street SPDR S&P Emerging Asia Pacific ETF | 0.96 |
| FNDE | Schwab Fundamental Emerging Markets Equity ETF | 0.95 |
| VEXC | Vanguard Emerging Markets Ex-China ETF | 0.95 |
Frequently asked questions about SCHE correlations
- Which stocks are most correlated with SCHE?
- Based on one year of daily returns, the stocks most correlated with Schwab Emerging Markets Equity ETF (SCHE) are VWO (0.98), SPEM (0.98) and GMF (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 SCHE?
- Over the past year, the stocks most inversely correlated with Schwab Emerging Markets Equity ETF (SCHE) are EDZ (-0.93), EEV (-0.93) and EUM (-0.93). 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 SCHE correlations calculated?
- We compute the correlation of daily returns between SCHE 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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