Correlation Between Kongsberg Gruppen and Cloudberry Clean
Can any of the company-specific risk be diversified away by investing in both Kongsberg Gruppen and Cloudberry Clean 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 Kongsberg Gruppen and Cloudberry Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kongsberg Gruppen ASA and Cloudberry Clean Energy, you can compare the effects of market volatilities on Kongsberg Gruppen and Cloudberry Clean 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 Kongsberg Gruppen with a short position of Cloudberry Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kongsberg Gruppen and Cloudberry Clean.
Diversification Opportunities for Kongsberg Gruppen and Cloudberry Clean
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kongsberg and Cloudberry is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Kongsberg Gruppen ASA and Cloudberry Clean Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cloudberry Clean Energy and Kongsberg Gruppen 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 Kongsberg Gruppen ASA are associated (or correlated) with Cloudberry Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cloudberry Clean Energy has no effect on the direction of Kongsberg Gruppen i.e., Kongsberg Gruppen and Cloudberry Clean go up and down completely randomly.
Pair Corralation between Kongsberg Gruppen and Cloudberry Clean
Assuming the 90 days trading horizon Kongsberg Gruppen ASA is expected to generate 0.87 times more return on investment than Cloudberry Clean. However, Kongsberg Gruppen ASA is 1.16 times less risky than Cloudberry Clean. It trades about 0.21 of its potential returns per unit of risk. Cloudberry Clean Energy is currently generating about -0.01 per unit of risk. If you would invest 100,654 in Kongsberg Gruppen ASA on September 17, 2024 and sell it today you would earn a total of 27,946 from holding Kongsberg Gruppen ASA or generate 27.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kongsberg Gruppen ASA vs. Cloudberry Clean Energy
Performance |
Timeline |
Kongsberg Gruppen ASA |
Cloudberry Clean Energy |
Kongsberg Gruppen and Cloudberry Clean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kongsberg Gruppen and Cloudberry Clean
The main advantage of trading using opposite Kongsberg Gruppen and Cloudberry Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kongsberg Gruppen position performs unexpectedly, Cloudberry Clean 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 Cloudberry Clean will offset losses from the drop in Cloudberry Clean's long position.Kongsberg Gruppen vs. DnB ASA | Kongsberg Gruppen vs. Orkla ASA | Kongsberg Gruppen vs. Storebrand ASA | Kongsberg Gruppen vs. Yara International ASA |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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