State Street SPDR S&P Emerging Asia Pacific ETF (GMF) — Stock Correlations & Overview
Over the past year, GMF has moved most closely with SPEM, VWO, SCHE. Explore the stocks most correlated and inversely correlated with GMF below, along with its price, financials, and company profile.
Stocks correlated with GMF
Correlation of daily returns. Higher positive values move with GMF; negative values move opposite it. Informational only, not investment advice.
Most correlated with GMF
| Symbol | Company | Correlation |
|---|---|---|
| SPEM | State Street SPDR Portfolio Emerging Markets ETF | 0.97 |
| VWO | Vanguard FTSE Emerging Markets ETF | 0.96 |
| SCHE | Schwab Emerging Markets Equity ETF | 0.96 |
| EEMA | iShares MSCI Emerging Markets Asia ETF | 0.96 |
| EMCR | Xtrackers Emerging Markets Carbon Reduction and Climate Improvers ETF | 0.94 |
Frequently asked questions about GMF correlations
- Which stocks are most correlated with GMF?
- Based on one year of daily returns, the stocks most correlated with State Street SPDR S&P Emerging Asia Pacific ETF (GMF) are SPEM (0.97), VWO (0.96) and SCHE (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 GMF?
- Over the past year, the stocks most inversely correlated with State Street SPDR S&P Emerging Asia Pacific ETF (GMF) are EDZ (-0.94), EEV (-0.94) 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 GMF correlations calculated?
- We compute the correlation of daily returns between GMF 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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