Correlation Between Columbia Sportswear and Longfor Group
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Longfor Group 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 Longfor Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Longfor Group Holdings, you can compare the effects of market volatilities on Columbia Sportswear and Longfor Group 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 Longfor Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Longfor Group.
Diversification Opportunities for Columbia Sportswear and Longfor Group
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Columbia and Longfor is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Longfor Group Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Longfor Group Holdings 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 Longfor Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Longfor Group Holdings has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Longfor Group go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Longfor Group
Assuming the 90 days horizon Columbia Sportswear is expected to under-perform the Longfor Group. In addition to that, Columbia Sportswear is 1.01 times more volatile than Longfor Group Holdings. It trades about -0.08 of its total potential returns per unit of risk. Longfor Group Holdings is currently generating about -0.06 per unit of volatility. If you would invest 120.00 in Longfor Group Holdings on April 24, 2025 and sell it today you would lose (11.00) from holding Longfor Group Holdings or give up 9.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. Longfor Group Holdings
Performance |
Timeline |
Columbia Sportswear |
Longfor Group Holdings |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Columbia Sportswear and Longfor Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and Longfor Group
The main advantage of trading using opposite Columbia Sportswear and Longfor Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Longfor Group 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 Longfor Group will offset losses from the drop in Longfor Group's long position.Columbia Sportswear vs. Iridium Communications | Columbia Sportswear vs. Hemisphere Energy Corp | Columbia Sportswear vs. Universal Display | Columbia Sportswear vs. Rogers Communications |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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