Correlation Between COLUMBIA SPORTSWEAR and Klépierre
Can any of the company-specific risk be diversified away by investing in both COLUMBIA SPORTSWEAR and Klépierre 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 Klépierre into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COLUMBIA SPORTSWEAR and Klpierre SA, you can compare the effects of market volatilities on COLUMBIA SPORTSWEAR and Klépierre 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 Klépierre. Check out your portfolio center. Please also check ongoing floating volatility patterns of COLUMBIA SPORTSWEAR and Klépierre.
Diversification Opportunities for COLUMBIA SPORTSWEAR and Klépierre
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between COLUMBIA and Klépierre is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding COLUMBIA SPORTSWEAR and Klpierre SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Klpierre SA 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 Klépierre. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Klpierre SA has no effect on the direction of COLUMBIA SPORTSWEAR i.e., COLUMBIA SPORTSWEAR and Klépierre go up and down completely randomly.
Pair Corralation between COLUMBIA SPORTSWEAR and Klépierre
Assuming the 90 days trading horizon COLUMBIA SPORTSWEAR is expected to under-perform the Klépierre. In addition to that, COLUMBIA SPORTSWEAR is 2.06 times more volatile than Klpierre SA. It trades about -0.11 of its total potential returns per unit of risk. Klpierre SA is currently generating about 0.19 per unit of volatility. If you would invest 2,700 in Klpierre SA on December 25, 2024 and sell it today you would earn a total of 338.00 from holding Klpierre SA or generate 12.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
COLUMBIA SPORTSWEAR vs. Klpierre SA
Performance |
Timeline |
COLUMBIA SPORTSWEAR |
Klpierre SA |
COLUMBIA SPORTSWEAR and Klépierre Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COLUMBIA SPORTSWEAR and Klépierre
The main advantage of trading using opposite COLUMBIA SPORTSWEAR and Klépierre positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COLUMBIA SPORTSWEAR position performs unexpectedly, Klépierre 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 Klépierre will offset losses from the drop in Klépierre's long position.COLUMBIA SPORTSWEAR vs. Planet Fitness | COLUMBIA SPORTSWEAR vs. Molina Healthcare | COLUMBIA SPORTSWEAR vs. Meli Hotels International | COLUMBIA SPORTSWEAR vs. Phibro Animal Health |
Klépierre vs. Burlington Stores | Klépierre vs. SPARTAN STORES | Klépierre vs. Information Services International Dentsu | Klépierre vs. GOME Retail Holdings |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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