Correlation Between National Storage and Clean Energy
Can any of the company-specific risk be diversified away by investing in both National Storage and Clean Energy 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 National Storage and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Storage Affiliates and Clean Energy Fuels, you can compare the effects of market volatilities on National Storage and Clean Energy 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 National Storage with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Storage and Clean Energy.
Diversification Opportunities for National Storage and Clean Energy
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between National and Clean is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding National Storage Affiliates and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and National Storage 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 National Storage Affiliates are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of National Storage i.e., National Storage and Clean Energy go up and down completely randomly.
Pair Corralation between National Storage and Clean Energy
Assuming the 90 days horizon National Storage Affiliates is expected to generate 0.47 times more return on investment than Clean Energy. However, National Storage Affiliates is 2.15 times less risky than Clean Energy. It trades about 0.04 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about -0.01 per unit of risk. If you would invest 3,296 in National Storage Affiliates on September 4, 2024 and sell it today you would earn a total of 974.00 from holding National Storage Affiliates or generate 29.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
National Storage Affiliates vs. Clean Energy Fuels
Performance |
Timeline |
National Storage Aff |
Clean Energy Fuels |
National Storage and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Storage and Clean Energy
The main advantage of trading using opposite National Storage and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Storage position performs unexpectedly, Clean Energy 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 Clean Energy will offset losses from the drop in Clean Energy's long position.National Storage vs. 24SEVENOFFICE GROUP AB | National Storage vs. T MOBILE INCDL 00001 | National Storage vs. MTI WIRELESS EDGE | National Storage vs. Mobilezone Holding AG |
Clean Energy vs. Marathon Petroleum Corp | Clean Energy vs. Neste Oyj | Clean Energy vs. ENEOS Holdings | Clean Energy vs. PTT OILRETBUS FOR BA10 |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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