Correlation Between Customers Bancorp and Ready Capital
Can any of the company-specific risk be diversified away by investing in both Customers Bancorp and Ready Capital 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 Customers Bancorp and Ready Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Customers Bancorp and Ready Capital, you can compare the effects of market volatilities on Customers Bancorp and Ready Capital 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 Customers Bancorp with a short position of Ready Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Customers Bancorp and Ready Capital.
Diversification Opportunities for Customers Bancorp and Ready Capital
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Customers and Ready is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Customers Bancorp and Ready Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ready Capital and Customers Bancorp 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 Customers Bancorp are associated (or correlated) with Ready Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ready Capital has no effect on the direction of Customers Bancorp i.e., Customers Bancorp and Ready Capital go up and down completely randomly.
Pair Corralation between Customers Bancorp and Ready Capital
Given the investment horizon of 90 days Customers Bancorp is expected to under-perform the Ready Capital. In addition to that, Customers Bancorp is 7.35 times more volatile than Ready Capital. It trades about -0.08 of its total potential returns per unit of risk. Ready Capital is currently generating about 0.02 per unit of volatility. If you would invest 2,448 in Ready Capital on September 1, 2024 and sell it today you would earn a total of 2.00 from holding Ready Capital or generate 0.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Customers Bancorp vs. Ready Capital
Performance |
| Timeline |
| Customers Bancorp |
| Ready Capital |
Customers Bancorp and Ready Capital Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Customers Bancorp and Ready Capital
The main advantage of trading using opposite Customers Bancorp and Ready Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Customers Bancorp position performs unexpectedly, Ready Capital 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 Ready Capital will offset losses from the drop in Ready Capital's long position.| Customers Bancorp vs. CMS Energy Corp | Customers Bancorp vs. CMS Energy Corp | Customers Bancorp vs. American Financial Group | Customers Bancorp vs. Eagle Point Credit |
| Ready Capital vs. QVCC | Ready Capital vs. Eagle Point Credit | Ready Capital vs. National Rural Utilities |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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