Correlation Between Regions Financial and BankUnited
Can any of the company-specific risk be diversified away by investing in both Regions Financial and BankUnited 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 Regions Financial and BankUnited into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and BankUnited, you can compare the effects of market volatilities on Regions Financial and BankUnited 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 Regions Financial with a short position of BankUnited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and BankUnited.
Diversification Opportunities for Regions Financial and BankUnited
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Regions and BankUnited is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and BankUnited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BankUnited and Regions 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 Regions Financial are associated (or correlated) with BankUnited. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BankUnited has no effect on the direction of Regions Financial i.e., Regions Financial and BankUnited go up and down completely randomly.
Pair Corralation between Regions Financial and BankUnited
Allowing for the 90-day total investment horizon Regions Financial is expected to generate 1.2 times less return on investment than BankUnited. But when comparing it to its historical volatility, Regions Financial is 1.43 times less risky than BankUnited. It trades about 0.04 of its potential returns per unit of risk. BankUnited is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,220 in BankUnited on August 30, 2024 and sell it today you would earn a total of 1,016 from holding BankUnited or generate 31.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.8% |
| Values | Daily Returns |
Regions Financial vs. BankUnited
Performance |
| Timeline |
| Regions Financial |
| BankUnited |
Regions Financial and BankUnited Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Regions Financial and BankUnited
The main advantage of trading using opposite Regions Financial and BankUnited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, BankUnited 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 BankUnited will offset losses from the drop in BankUnited's long position.| Regions Financial vs. SVB T Corp | Regions Financial vs. First Capital | Regions Financial vs. Pioneer Bankcorp | Regions Financial vs. Liberty Northwest Bancorp |
| BankUnited vs. SVB T Corp | BankUnited vs. First Capital | BankUnited vs. Pioneer Bankcorp | BankUnited vs. Liberty Northwest 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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