Franklin FTSE Australia ETF (FLAU) — Stock Correlations & Overview
Over the past year, FLAU has moved most closely with EWA, EPP, BBAX. Explore the stocks most correlated and inversely correlated with FLAU below, along with its price, financials, and company profile.
Stocks correlated with FLAU
Correlation of daily returns. Higher positive values move with FLAU; negative values move opposite it. Informational only, not investment advice.
Most correlated with FLAU
| Symbol | Company | Correlation |
|---|---|---|
| EWA | iShares MSCI Australia ETF | 0.97 |
| EPP | iShares MSCI Pacific ex Japan ETF | 0.95 |
| BBAX | JPMorgan BetaBuilders Developed Asia Pacific-ex Japan ETF | 0.95 |
| VYMI | Vanguard International High Dividend Yield ETF | 0.86 |
| LCTD | iShares World ex U.S. Carbon Transition Readiness Aware Active ETF | 0.86 |
Frequently asked questions about FLAU correlations
- Which stocks are most correlated with FLAU?
- Based on one year of daily returns, the stocks most correlated with Franklin FTSE Australia ETF (FLAU) are EWA (0.97), EPP (0.95) and BBAX (0.95). 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 FLAU?
- Over the past year, the stocks most inversely correlated with Franklin FTSE Australia ETF (FLAU) are EPV (-0.81), EFU (-0.81) and EFZ (-0.80). 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 FLAU correlations calculated?
- We compute the correlation of daily returns between FLAU 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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