Correlation Between Ares Management and Eagle Point
Can any of the company-specific risk be diversified away by investing in both Ares Management 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 Ares Management and Eagle Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ares Management LP and Eagle Point Credit, you can compare the effects of market volatilities on Ares Management 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 Ares Management with a short position of Eagle Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ares Management and Eagle Point.
Diversification Opportunities for Ares Management and Eagle Point
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ares and Eagle is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Ares Management LP 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 Ares Management 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 Ares Management LP 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 Ares Management i.e., Ares Management and Eagle Point go up and down completely randomly.
Pair Corralation between Ares Management and Eagle Point
Given the investment horizon of 90 days Ares Management LP is expected to under-perform the Eagle Point. In addition to that, Ares Management is 2.21 times more volatile than Eagle Point Credit. It trades about -0.1 of its total potential returns per unit of risk. Eagle Point Credit is currently generating about -0.07 per unit of volatility. If you would invest 845.00 in Eagle Point Credit on December 26, 2024 and sell it today you would lose (42.00) from holding Eagle Point Credit or give up 4.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ares Management LP vs. Eagle Point Credit
Performance |
Timeline |
Ares Management LP |
Eagle Point Credit |
Ares Management and Eagle Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ares Management and Eagle Point
The main advantage of trading using opposite Ares Management and Eagle Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ares Management 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.Ares Management vs. KKR Co LP | Ares Management vs. Carlyle Group | Ares Management vs. Blackstone Group | Ares Management vs. Blue Owl Capital |
Eagle Point vs. Cornerstone Strategic Return | Eagle Point vs. Cornerstone Strategic Value | Eagle Point vs. Oxford Square Capital | Eagle Point vs. Guggenheim Strategic Opportunities |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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