Correlation Between Columbia Sportswear and URBAN OUTFITTERS
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and URBAN OUTFITTERS 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 URBAN OUTFITTERS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and URBAN OUTFITTERS, you can compare the effects of market volatilities on Columbia Sportswear and URBAN OUTFITTERS 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 URBAN OUTFITTERS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and URBAN OUTFITTERS.
Diversification Opportunities for Columbia Sportswear and URBAN OUTFITTERS
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Columbia and URBAN is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and URBAN OUTFITTERS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on URBAN OUTFITTERS 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 URBAN OUTFITTERS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of URBAN OUTFITTERS has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and URBAN OUTFITTERS go up and down completely randomly.
Pair Corralation between Columbia Sportswear and URBAN OUTFITTERS
Assuming the 90 days horizon Columbia Sportswear is expected to generate 3.47 times less return on investment than URBAN OUTFITTERS. But when comparing it to its historical volatility, Columbia Sportswear is 1.8 times less risky than URBAN OUTFITTERS. It trades about 0.11 of its potential returns per unit of risk. URBAN OUTFITTERS is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 3,380 in URBAN OUTFITTERS on September 18, 2024 and sell it today you would earn a total of 1,820 from holding URBAN OUTFITTERS or generate 53.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. URBAN OUTFITTERS
Performance |
Timeline |
Columbia Sportswear |
URBAN OUTFITTERS |
Columbia Sportswear and URBAN OUTFITTERS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and URBAN OUTFITTERS
The main advantage of trading using opposite Columbia Sportswear and URBAN OUTFITTERS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, URBAN OUTFITTERS 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 URBAN OUTFITTERS will offset losses from the drop in URBAN OUTFITTERS's long position.Columbia Sportswear vs. Superior Plus Corp | Columbia Sportswear vs. SIVERS SEMICONDUCTORS AB | Columbia Sportswear vs. Norsk Hydro ASA | Columbia Sportswear vs. Reliance Steel Aluminum |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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