Correlation Between Columbia Sportswear and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Uber Technologies at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Columbia Sportswear and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Uber Technologies, you can compare the effects of market volatilities on Columbia Sportswear and Uber Technologies and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Columbia Sportswear with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Uber Technologies.
Diversification Opportunities for Columbia Sportswear and Uber Technologies
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Columbia and Uber is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Columbia Sportswear is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Columbia Sportswear are associated (or correlated) with Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Uber Technologies go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Uber Technologies
Assuming the 90 days horizon Columbia Sportswear is expected to generate 0.7 times more return on investment than Uber Technologies. However, Columbia Sportswear is 1.43 times less risky than Uber Technologies. It trades about 0.15 of its potential returns per unit of risk. Uber Technologies is currently generating about 0.04 per unit of risk. If you would invest 7,122 in Columbia Sportswear on August 29, 2024 and sell it today you would earn a total of 1,228 from holding Columbia Sportswear or generate 17.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Columbia Sportswear vs. Uber Technologies
Performance |
| Timeline |
| Columbia Sportswear |
| Uber Technologies |
Columbia Sportswear and Uber Technologies Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Columbia Sportswear and Uber Technologies
The main advantage of trading using opposite Columbia Sportswear and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Uber Technologies can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Uber Technologies will offset losses from the drop in Uber Technologies' long position.| Columbia Sportswear vs. Lion One Metals | Columbia Sportswear vs. Addus HomeCare | Columbia Sportswear vs. American Homes 4 | Columbia Sportswear vs. ANGI Homeservices |
| Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc | Uber Technologies vs. Apple Inc |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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