Correlation Between Carnegie Clean and National Health
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and National Health 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 National Health 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 National Health Investors, you can compare the effects of market volatilities on Carnegie Clean and National Health 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 National Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and National Health.
Diversification Opportunities for Carnegie Clean and National Health
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Carnegie and National is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and National Health Investors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Health Investors 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 National Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Health Investors has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and National Health go up and down completely randomly.
Pair Corralation between Carnegie Clean and National Health
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 1.38 times more return on investment than National Health. However, Carnegie Clean is 1.38 times more volatile than National Health Investors. It trades about 0.06 of its potential returns per unit of risk. National Health Investors is currently generating about -0.08 per unit of risk. If you would invest 2.04 in Carnegie Clean Energy on September 23, 2024 and sell it today you would earn a total of 0.16 from holding Carnegie Clean Energy or generate 7.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. National Health Investors
Performance |
Timeline |
Carnegie Clean Energy |
National Health Investors |
Carnegie Clean and National Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and National Health
The main advantage of trading using opposite Carnegie Clean and National Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, National Health 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 National Health will offset losses from the drop in National Health's long position.Carnegie Clean vs. Orsted AS | Carnegie Clean vs. EDP Renovveis SA | Carnegie Clean vs. CGN Power Co | Carnegie Clean vs. Huaneng Power International |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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