Correlation Between Ares Capital and RiverNorthDoubleLine
Can any of the company-specific risk be diversified away by investing in both Ares Capital and RiverNorthDoubleLine 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 Capital and RiverNorthDoubleLine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ares Capital and RiverNorthDoubleLine Strategic Opportunity, you can compare the effects of market volatilities on Ares Capital and RiverNorthDoubleLine 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 Capital with a short position of RiverNorthDoubleLine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ares Capital and RiverNorthDoubleLine.
Diversification Opportunities for Ares Capital and RiverNorthDoubleLine
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Ares and RiverNorthDoubleLine is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Ares Capital and RiverNorthDoubleLine Strategic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RiverNorthDoubleLine and Ares Capital 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 Capital are associated (or correlated) with RiverNorthDoubleLine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RiverNorthDoubleLine has no effect on the direction of Ares Capital i.e., Ares Capital and RiverNorthDoubleLine go up and down completely randomly.
Pair Corralation between Ares Capital and RiverNorthDoubleLine
Given the investment horizon of 90 days Ares Capital is expected to generate 0.91 times more return on investment than RiverNorthDoubleLine. However, Ares Capital is 1.1 times less risky than RiverNorthDoubleLine. It trades about 0.41 of its potential returns per unit of risk. RiverNorthDoubleLine Strategic Opportunity is currently generating about -0.07 per unit of risk. If you would invest 2,101 in Ares Capital on September 6, 2024 and sell it today you would earn a total of 109.00 from holding Ares Capital or generate 5.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ares Capital vs. RiverNorthDoubleLine Strategic
Performance |
Timeline |
Ares Capital |
RiverNorthDoubleLine |
Ares Capital and RiverNorthDoubleLine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ares Capital and RiverNorthDoubleLine
The main advantage of trading using opposite Ares Capital and RiverNorthDoubleLine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ares Capital position performs unexpectedly, RiverNorthDoubleLine 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 RiverNorthDoubleLine will offset losses from the drop in RiverNorthDoubleLine's long position.Ares Capital vs. Triplepoint Venture Growth | Ares Capital vs. Sixth Street Specialty | Ares Capital vs. Main Street Capital | Ares Capital vs. Capital Southwest |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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