Correlation Between Under Armour and Columbia Sportswear
Can any of the company-specific risk be diversified away by investing in both Under Armour and Columbia Sportswear 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 Under Armour and Columbia Sportswear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Under Armour A and Columbia Sportswear, you can compare the effects of market volatilities on Under Armour and Columbia Sportswear 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 Under Armour with a short position of Columbia Sportswear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Under Armour and Columbia Sportswear.
Diversification Opportunities for Under Armour and Columbia Sportswear
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Under and Columbia is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Under Armour A and Columbia Sportswear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Sportswear and Under Armour 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 Under Armour A are associated (or correlated) with Columbia Sportswear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Sportswear has no effect on the direction of Under Armour i.e., Under Armour and Columbia Sportswear go up and down completely randomly.
Pair Corralation between Under Armour and Columbia Sportswear
Considering the 90-day investment horizon Under Armour A is expected to under-perform the Columbia Sportswear. In addition to that, Under Armour is 1.23 times more volatile than Columbia Sportswear. It trades about -0.34 of its total potential returns per unit of risk. Columbia Sportswear is currently generating about -0.06 per unit of volatility. If you would invest 8,723 in Columbia Sportswear on November 19, 2024 and sell it today you would lose (265.00) from holding Columbia Sportswear or give up 3.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Under Armour A vs. Columbia Sportswear
Performance |
Timeline |
Under Armour A |
Columbia Sportswear |
Under Armour and Columbia Sportswear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Under Armour and Columbia Sportswear
The main advantage of trading using opposite Under Armour and Columbia Sportswear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Under Armour position performs unexpectedly, Columbia Sportswear 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 Columbia Sportswear will offset losses from the drop in Columbia Sportswear's long position.Under Armour vs. Levi Strauss Co | Under Armour vs. Hanesbrands | Under Armour vs. VF Corporation | Under Armour vs. Ralph Lauren Corp |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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