Columbia Sportswear Co (COLM) — Stock Correlations & Overview
Over the past year, COLM has moved most closely with QVAL, FXD, PSCD. Explore the stocks most correlated and inversely correlated with COLM below, along with its price, financials, and company profile.
Stocks correlated with COLM
Correlation of daily returns. Higher positive values move with COLM; negative values move opposite it. Informational only, not investment advice.
Most correlated with COLM
| Symbol | Company | Correlation |
|---|---|---|
| QVAL | Alpha Architect U.S. Quantitative Value ETF | 0.68 |
| FXD | First Trust Consumer Discretionary AlphaDEX Fund | 0.66 |
| PSCD | Invesco S&P SmallCap Consumer Discretionary ETFINVESTMENT ADVICE | 0.66 |
| XRT | State Street SPDR S&P Retail ETF | 0.65 |
| FAB | First Trust Multi Cap Value AlphaDEX Fund | 0.65 |
Frequently asked questions about COLM correlations
- Which stocks are most correlated with COLM?
- Based on one year of daily returns, the stocks most correlated with Columbia Sportswear Co (COLM) are QVAL (0.68), FXD (0.66) and PSCD (0.66). 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 COLM?
- Over the past year, the stocks most inversely correlated with Columbia Sportswear Co (COLM) are EMTY (-0.60), HDGE (-0.52) and SBB (-0.51). 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 COLM correlations calculated?
- We compute the correlation of daily returns between COLM 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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