Correlation Between Regions Financial and CNB Financial
Can any of the company-specific risk be diversified away by investing in both Regions Financial and CNB Financial 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 CNB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and CNB Financial, you can compare the effects of market volatilities on Regions Financial and CNB Financial 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 CNB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and CNB Financial.
Diversification Opportunities for Regions Financial and CNB Financial
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Regions and CNB is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and CNB Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CNB Financial 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 CNB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CNB Financial has no effect on the direction of Regions Financial i.e., Regions Financial and CNB Financial go up and down completely randomly.
Pair Corralation between Regions Financial and CNB Financial
Assuming the 90 days horizon Regions Financial is expected to generate 0.63 times more return on investment than CNB Financial. However, Regions Financial is 1.58 times less risky than CNB Financial. It trades about 0.14 of its potential returns per unit of risk. CNB Financial is currently generating about 0.08 per unit of risk. If you would invest 2,348 in Regions Financial on September 2, 2024 and sell it today you would earn a total of 170.00 from holding Regions Financial or generate 7.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Regions Financial vs. CNB Financial
Performance |
| Timeline |
| Regions Financial |
| CNB Financial |
Regions Financial and CNB Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Regions Financial and CNB Financial
The main advantage of trading using opposite Regions Financial and CNB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, CNB Financial 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 CNB Financial will offset losses from the drop in CNB Financial's long position.| Regions Financial vs. KeyCorp | Regions Financial vs. KeyCorp | Regions Financial vs. KeyCorp | Regions Financial vs. Regions Financial |
| CNB Financial vs. KeyCorp | CNB Financial vs. KeyCorp | CNB Financial vs. Fifth Third Bancorp | CNB Financial vs. Citizens Financial Group |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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