Correlation Between Regions Financial and First Horizon
Can any of the company-specific risk be diversified away by investing in both Regions Financial 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 Regions Financial and First Horizon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and First Horizon, you can compare the effects of market volatilities on Regions Financial 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 Regions Financial with a short position of First Horizon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and First Horizon.
Diversification Opportunities for Regions Financial and First Horizon
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Regions and First is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and First Horizon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Horizon 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 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 Regions Financial i.e., Regions Financial and First Horizon go up and down completely randomly.
Pair Corralation between Regions Financial and First Horizon
Assuming the 90 days horizon Regions Financial is expected to generate 1.05 times more return on investment than First Horizon. However, Regions Financial is 1.05 times more volatile than First Horizon. It trades about -0.05 of its potential returns per unit of risk. First Horizon is currently generating about -0.14 per unit of risk. If you would invest 1,915 in Regions Financial on October 25, 2024 and sell it today you would lose (72.00) from holding Regions Financial or give up 3.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. First Horizon
Performance |
Timeline |
Regions Financial |
First Horizon |
Regions Financial and First Horizon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and First Horizon
The main advantage of trading using opposite Regions Financial and First Horizon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial 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.Regions Financial vs. Axos Financial | Regions Financial vs. Byline Bancorp | Regions Financial vs. Deutsche Bank AG | Regions Financial vs. KB Financial Group |
First Horizon vs. First Horizon | First Horizon vs. Regions Financial | First Horizon vs. Fifth Third Bancorp | First Horizon 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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