Correlation Between Axos Financial and Carlyle Secured
Can any of the company-specific risk be diversified away by investing in both Axos Financial 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 Axos Financial and Carlyle Secured into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Axos Financial and Carlyle Secured Lending, you can compare the effects of market volatilities on Axos Financial 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 Axos Financial with a short position of Carlyle Secured. Check out your portfolio center. Please also check ongoing floating volatility patterns of Axos Financial and Carlyle Secured.
Diversification Opportunities for Axos Financial and Carlyle Secured
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Axos and Carlyle is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Axos Financial 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 Axos Financial 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 Axos Financial 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 Axos Financial i.e., Axos Financial and Carlyle Secured go up and down completely randomly.
Pair Corralation between Axos Financial and Carlyle Secured
Allowing for the 90-day total investment horizon Axos Financial is expected to generate 3.23 times more return on investment than Carlyle Secured. However, Axos Financial is 3.23 times more volatile than Carlyle Secured Lending. It trades about 0.11 of its potential returns per unit of risk. Carlyle Secured Lending is currently generating about 0.07 per unit of risk. If you would invest 6,815 in Axos Financial on September 1, 2024 and sell it today you would earn a total of 1,470 from holding Axos Financial or generate 21.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Axos Financial vs. Carlyle Secured Lending
Performance |
Timeline |
Axos Financial |
Carlyle Secured Lending |
Axos Financial and Carlyle Secured Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Axos Financial and Carlyle Secured
The main advantage of trading using opposite Axos Financial and Carlyle Secured positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Axos Financial 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.Axos Financial vs. National Bank Holdings | Axos Financial vs. Community West Bancshares | Axos Financial vs. First Capital | Axos Financial vs. Home Bancorp |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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