Correlation Between Regions Financial and VersaBank
Can any of the company-specific risk be diversified away by investing in both Regions Financial and VersaBank 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 VersaBank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and VersaBank, you can compare the effects of market volatilities on Regions Financial and VersaBank 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 VersaBank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and VersaBank.
Diversification Opportunities for Regions Financial and VersaBank
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Regions and VersaBank is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and VersaBank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VersaBank 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 VersaBank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VersaBank has no effect on the direction of Regions Financial i.e., Regions Financial and VersaBank go up and down completely randomly.
Pair Corralation between Regions Financial and VersaBank
Allowing for the 90-day total investment horizon Regions Financial is expected to generate 0.9 times more return on investment than VersaBank. However, Regions Financial is 1.11 times less risky than VersaBank. It trades about 0.2 of its potential returns per unit of risk. VersaBank is currently generating about 0.04 per unit of risk. If you would invest 2,047 in Regions Financial on May 6, 2025 and sell it today you would earn a total of 442.00 from holding Regions Financial or generate 21.59% 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. VersaBank
Performance |
Timeline |
Regions Financial |
VersaBank |
Regions Financial and VersaBank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and VersaBank
The main advantage of trading using opposite Regions Financial and VersaBank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, VersaBank 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 VersaBank will offset losses from the drop in VersaBank's long position.Regions Financial vs. Huntington Bancshares Incorporated | Regions Financial vs. Fifth Third Bancorp | Regions Financial vs. MT Bank | Regions Financial vs. Citizens Financial Group, |
VersaBank vs. US Century Bank | VersaBank vs. Western New England | VersaBank vs. Third Coast Bancshares | VersaBank vs. Tyra Biosciences |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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