Correlation Between Regions Financial and Merchants Marine
Can any of the company-specific risk be diversified away by investing in both Regions Financial and Merchants Marine 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 Merchants Marine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and Merchants Marine Bancorp, you can compare the effects of market volatilities on Regions Financial and Merchants Marine 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 Merchants Marine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and Merchants Marine.
Diversification Opportunities for Regions Financial and Merchants Marine
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Regions and Merchants is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and Merchants Marine Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merchants Marine Bancorp 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 Merchants Marine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Merchants Marine Bancorp has no effect on the direction of Regions Financial i.e., Regions Financial and Merchants Marine go up and down completely randomly.
Pair Corralation between Regions Financial and Merchants Marine
Assuming the 90 days horizon Regions Financial is expected to generate 0.53 times more return on investment than Merchants Marine. However, Regions Financial is 1.9 times less risky than Merchants Marine. It trades about 0.1 of its potential returns per unit of risk. Merchants Marine Bancorp is currently generating about -0.09 per unit of risk. If you would invest 2,478 in Regions Financial on September 1, 2024 and sell it today you would earn a total of 40.00 from holding Regions Financial or generate 1.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. Merchants Marine Bancorp
Performance |
Timeline |
Regions Financial |
Merchants Marine Bancorp |
Regions Financial and Merchants Marine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and Merchants Marine
The main advantage of trading using opposite Regions Financial and Merchants Marine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, Merchants Marine 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 Merchants Marine will offset losses from the drop in Merchants Marine's long position.Regions Financial vs. KeyCorp | Regions Financial vs. KeyCorp | Regions Financial vs. KeyCorp | Regions Financial vs. Regions Financial |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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