Correlation Between Eversource Energy and Vast Renewables
Can any of the company-specific risk be diversified away by investing in both Eversource Energy and Vast Renewables 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 Eversource Energy and Vast Renewables into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eversource Energy and Vast Renewables Limited, you can compare the effects of market volatilities on Eversource Energy and Vast Renewables 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 Eversource Energy with a short position of Vast Renewables. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eversource Energy and Vast Renewables.
Diversification Opportunities for Eversource Energy and Vast Renewables
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Eversource and Vast is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Eversource Energy and Vast Renewables Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vast Renewables and Eversource Energy 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 Eversource Energy are associated (or correlated) with Vast Renewables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vast Renewables has no effect on the direction of Eversource Energy i.e., Eversource Energy and Vast Renewables go up and down completely randomly.
Pair Corralation between Eversource Energy and Vast Renewables
Allowing for the 90-day total investment horizon Eversource Energy is expected to generate 0.24 times more return on investment than Vast Renewables. However, Eversource Energy is 4.2 times less risky than Vast Renewables. It trades about 0.07 of its potential returns per unit of risk. Vast Renewables Limited is currently generating about -0.26 per unit of risk. If you would invest 5,662 in Eversource Energy on December 28, 2024 and sell it today you would earn a total of 368.00 from holding Eversource Energy or generate 6.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Eversource Energy vs. Vast Renewables Limited
Performance |
Timeline |
Eversource Energy |
Vast Renewables |
Eversource Energy and Vast Renewables Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eversource Energy and Vast Renewables
The main advantage of trading using opposite Eversource Energy and Vast Renewables positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eversource Energy position performs unexpectedly, Vast Renewables 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 Vast Renewables will offset losses from the drop in Vast Renewables' long position.Eversource Energy vs. CenterPoint Energy | Eversource Energy vs. FirstEnergy | Eversource Energy vs. Pinnacle West Capital | Eversource Energy vs. Edison 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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