Correlation Between Via Renewables and Eagle Point
Can any of the company-specific risk be diversified away by investing in both Via Renewables and Eagle Point 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 Via Renewables and Eagle Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Via Renewables and Eagle Point Credit, you can compare the effects of market volatilities on Via Renewables and Eagle Point 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 Via Renewables with a short position of Eagle Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Via Renewables and Eagle Point.
Diversification Opportunities for Via Renewables and Eagle Point
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Via and Eagle is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Via Renewables and Eagle Point Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagle Point Credit and Via Renewables 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 Via Renewables are associated (or correlated) with Eagle Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagle Point Credit has no effect on the direction of Via Renewables i.e., Via Renewables and Eagle Point go up and down completely randomly.
Pair Corralation between Via Renewables and Eagle Point
Assuming the 90 days horizon Via Renewables is expected to generate 2.02 times more return on investment than Eagle Point. However, Via Renewables is 2.02 times more volatile than Eagle Point Credit. It trades about 0.37 of its potential returns per unit of risk. Eagle Point Credit is currently generating about -0.06 per unit of risk. If you would invest 2,212 in Via Renewables on September 26, 2024 and sell it today you would earn a total of 128.00 from holding Via Renewables or generate 5.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Via Renewables vs. Eagle Point Credit
Performance |
Timeline |
Via Renewables |
Eagle Point Credit |
Via Renewables and Eagle Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Via Renewables and Eagle Point
The main advantage of trading using opposite Via Renewables and Eagle Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Via Renewables position performs unexpectedly, Eagle Point 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 Eagle Point will offset losses from the drop in Eagle Point's long position.Via Renewables vs. CMS Energy | Via Renewables vs. ACRES Commercial Realty | Via Renewables vs. Atlanticus Holdings Corp |
Eagle Point vs. Aquagold International | Eagle Point vs. Morningstar Unconstrained Allocation | Eagle Point vs. Thrivent High Yield | Eagle Point vs. Via Renewables |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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