Correlation Between COLUMBIA SPORTSWEAR and NTG Nordic
Can any of the company-specific risk be diversified away by investing in both COLUMBIA SPORTSWEAR and NTG Nordic 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 NTG Nordic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COLUMBIA SPORTSWEAR and NTG Nordic Transport, you can compare the effects of market volatilities on COLUMBIA SPORTSWEAR and NTG Nordic 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 NTG Nordic. Check out your portfolio center. Please also check ongoing floating volatility patterns of COLUMBIA SPORTSWEAR and NTG Nordic.
Diversification Opportunities for COLUMBIA SPORTSWEAR and NTG Nordic
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between COLUMBIA and NTG is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding COLUMBIA SPORTSWEAR and NTG Nordic Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NTG Nordic Transport 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 NTG Nordic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NTG Nordic Transport has no effect on the direction of COLUMBIA SPORTSWEAR i.e., COLUMBIA SPORTSWEAR and NTG Nordic go up and down completely randomly.
Pair Corralation between COLUMBIA SPORTSWEAR and NTG Nordic
Assuming the 90 days trading horizon COLUMBIA SPORTSWEAR is expected to generate 0.92 times more return on investment than NTG Nordic. However, COLUMBIA SPORTSWEAR is 1.09 times less risky than NTG Nordic. It trades about 0.28 of its potential returns per unit of risk. NTG Nordic Transport is currently generating about -0.05 per unit of risk. If you would invest 6,973 in COLUMBIA SPORTSWEAR on August 27, 2024 and sell it today you would earn a total of 727.00 from holding COLUMBIA SPORTSWEAR or generate 10.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
COLUMBIA SPORTSWEAR vs. NTG Nordic Transport
Performance |
| Timeline |
| COLUMBIA SPORTSWEAR |
| NTG Nordic Transport |
COLUMBIA SPORTSWEAR and NTG Nordic Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with COLUMBIA SPORTSWEAR and NTG Nordic
The main advantage of trading using opposite COLUMBIA SPORTSWEAR and NTG Nordic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COLUMBIA SPORTSWEAR position performs unexpectedly, NTG Nordic 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 NTG Nordic will offset losses from the drop in NTG Nordic's long position.| COLUMBIA SPORTSWEAR vs. Ameriprise Financial | COLUMBIA SPORTSWEAR vs. Siamgas And Petrochemicals | COLUMBIA SPORTSWEAR vs. SINGAPORE AIRLINES | COLUMBIA SPORTSWEAR vs. JSC Halyk bank |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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