Correlation Between Carnegie Clean and COLUMBIA SPORTSWEAR
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean 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 Carnegie Clean and COLUMBIA SPORTSWEAR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and COLUMBIA SPORTSWEAR, you can compare the effects of market volatilities on Carnegie Clean 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 Carnegie Clean with a short position of COLUMBIA SPORTSWEAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and COLUMBIA SPORTSWEAR.
Diversification Opportunities for Carnegie Clean and COLUMBIA SPORTSWEAR
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Carnegie and COLUMBIA is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and COLUMBIA SPORTSWEAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COLUMBIA SPORTSWEAR and Carnegie Clean 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 Carnegie Clean Energy 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 Carnegie Clean i.e., Carnegie Clean and COLUMBIA SPORTSWEAR go up and down completely randomly.
Pair Corralation between Carnegie Clean and COLUMBIA SPORTSWEAR
Assuming the 90 days trading horizon Carnegie Clean is expected to generate 3.51 times less return on investment than COLUMBIA SPORTSWEAR. In addition to that, Carnegie Clean is 2.86 times more volatile than COLUMBIA SPORTSWEAR. It trades about 0.01 of its total potential returns per unit of risk. COLUMBIA SPORTSWEAR is currently generating about 0.08 per unit of volatility. If you would invest 7,292 in COLUMBIA SPORTSWEAR on September 29, 2024 and sell it today you would earn a total of 1,008 from holding COLUMBIA SPORTSWEAR or generate 13.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. COLUMBIA SPORTSWEAR
Performance |
Timeline |
Carnegie Clean Energy |
COLUMBIA SPORTSWEAR |
Carnegie Clean and COLUMBIA SPORTSWEAR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and COLUMBIA SPORTSWEAR
The main advantage of trading using opposite Carnegie Clean and COLUMBIA SPORTSWEAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean 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.Carnegie Clean vs. Orsted AS | Carnegie Clean vs. EDP Renovveis SA | Carnegie Clean vs. Huaneng Power International | Carnegie Clean vs. Power Assets 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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