Correlation Between FirstCash and Carlyle Secured
Can any of the company-specific risk be diversified away by investing in both FirstCash and Carlyle Secured 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 FirstCash and Carlyle Secured into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FirstCash and Carlyle Secured Lending, you can compare the effects of market volatilities on FirstCash and Carlyle Secured 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 FirstCash with a short position of Carlyle Secured. Check out your portfolio center. Please also check ongoing floating volatility patterns of FirstCash and Carlyle Secured.
Diversification Opportunities for FirstCash and Carlyle Secured
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between FirstCash and Carlyle is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding FirstCash and Carlyle Secured Lending in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carlyle Secured Lending and FirstCash 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 FirstCash are associated (or correlated) with Carlyle Secured. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carlyle Secured Lending has no effect on the direction of FirstCash i.e., FirstCash and Carlyle Secured go up and down completely randomly.
Pair Corralation between FirstCash and Carlyle Secured
Given the investment horizon of 90 days FirstCash is expected to under-perform the Carlyle Secured. In addition to that, FirstCash is 1.51 times more volatile than Carlyle Secured Lending. It trades about -0.09 of its total potential returns per unit of risk. Carlyle Secured Lending is currently generating about 0.02 per unit of volatility. If you would invest 1,624 in Carlyle Secured Lending on August 20, 2024 and sell it today you would earn a total of 13.00 from holding Carlyle Secured Lending or generate 0.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FirstCash vs. Carlyle Secured Lending
Performance |
Timeline |
FirstCash |
Carlyle Secured Lending |
FirstCash and Carlyle Secured Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FirstCash and Carlyle Secured
The main advantage of trading using opposite FirstCash and Carlyle Secured positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FirstCash position performs unexpectedly, Carlyle Secured 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 Carlyle Secured will offset losses from the drop in Carlyle Secured's long position.FirstCash vs. Visa Class A | FirstCash vs. Diamond Hill Investment | FirstCash vs. Distoken Acquisition | FirstCash vs. AllianceBernstein Holding LP |
Carlyle Secured vs. Visa Class A | Carlyle Secured vs. Diamond Hill Investment | Carlyle Secured vs. Blackstone Group | Carlyle Secured vs. Deutsche Bank AG |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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