Correlation Between Carlyle Secured and Investor
Can any of the company-specific risk be diversified away by investing in both Carlyle Secured and Investor 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 Carlyle Secured and Investor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carlyle Secured Lending and Investor AB ser, you can compare the effects of market volatilities on Carlyle Secured and Investor 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 Carlyle Secured with a short position of Investor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carlyle Secured and Investor.
Diversification Opportunities for Carlyle Secured and Investor
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Carlyle and Investor is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Carlyle Secured Lending and Investor AB ser in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Investor AB ser and Carlyle Secured 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 Carlyle Secured Lending are associated (or correlated) with Investor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Investor AB ser has no effect on the direction of Carlyle Secured i.e., Carlyle Secured and Investor go up and down completely randomly.
Pair Corralation between Carlyle Secured and Investor
Given the investment horizon of 90 days Carlyle Secured Lending is expected to generate 0.63 times more return on investment than Investor. However, Carlyle Secured Lending is 1.58 times less risky than Investor. It trades about 0.07 of its potential returns per unit of risk. Investor AB ser is currently generating about 0.04 per unit of risk. If you would invest 1,228 in Carlyle Secured Lending on October 3, 2024 and sell it today you would earn a total of 565.00 from holding Carlyle Secured Lending or generate 46.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 92.73% |
Values | Daily Returns |
Carlyle Secured Lending vs. Investor AB ser
Performance |
Timeline |
Carlyle Secured Lending |
Investor AB ser |
Carlyle Secured and Investor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carlyle Secured and Investor
The main advantage of trading using opposite Carlyle Secured and Investor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carlyle Secured position performs unexpectedly, Investor 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 Investor will offset losses from the drop in Investor's long position.Carlyle Secured vs. Sixth Street Specialty | Carlyle Secured vs. Golub Capital BDC | Carlyle Secured vs. Fidus Investment Corp | Carlyle Secured vs. New Mountain Finance |
Investor vs. Guggenheim Strategic Opportunities | Investor vs. Pimco Dynamic Income | Investor vs. Rivernorth Opportunities | Investor vs. Cornerstone Strategic Value |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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