Correlation Between Customers Bancorp and First Horizon
Can any of the company-specific risk be diversified away by investing in both Customers Bancorp and First Horizon 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 First Horizon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Customers Bancorp and First Horizon, you can compare the effects of market volatilities on Customers Bancorp and First Horizon 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 First Horizon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Customers Bancorp and First Horizon.
Diversification Opportunities for Customers Bancorp and First Horizon
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Customers and First is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Customers Bancorp and First Horizon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Horizon 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 First Horizon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Horizon has no effect on the direction of Customers Bancorp i.e., Customers Bancorp and First Horizon go up and down completely randomly.
Pair Corralation between Customers Bancorp and First Horizon
Assuming the 90 days trading horizon Customers Bancorp is expected to generate 0.36 times more return on investment than First Horizon. However, Customers Bancorp is 2.77 times less risky than First Horizon. It trades about 0.49 of its potential returns per unit of risk. First Horizon is currently generating about -0.27 per unit of risk. If you would invest 2,463 in Customers Bancorp on September 5, 2024 and sell it today you would earn a total of 65.00 from holding Customers Bancorp or generate 2.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Customers Bancorp vs. First Horizon
Performance |
Timeline |
Customers Bancorp |
First Horizon |
Customers Bancorp and First Horizon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Customers Bancorp and First Horizon
The main advantage of trading using opposite Customers Bancorp and First Horizon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Customers Bancorp position performs unexpectedly, First Horizon 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 First Horizon will offset losses from the drop in First Horizon's long position.Customers Bancorp vs. Capital One Financial | Customers Bancorp vs. Bank of America | Customers Bancorp vs. HUMANA INC | Customers Bancorp vs. Aquagold International |
First Horizon vs. First Horizon | First Horizon vs. First Horizon | First Horizon vs. Citizens Financial Group | First Horizon vs. Customers Bancorp |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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