Correlation Between Regions Financial and Truist Financial
Can any of the company-specific risk be diversified away by investing in both Regions Financial and Truist 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 Truist 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 Truist Financial Corp, you can compare the effects of market volatilities on Regions Financial and Truist 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 Truist Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and Truist Financial.
Diversification Opportunities for Regions Financial and Truist Financial
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Regions and Truist is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and Truist Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Truist Financial Corp 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 Truist Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Truist Financial Corp has no effect on the direction of Regions Financial i.e., Regions Financial and Truist Financial go up and down completely randomly.
Pair Corralation between Regions Financial and Truist Financial
Allowing for the 90-day total investment horizon Regions Financial is expected to generate 0.89 times more return on investment than Truist Financial. However, Regions Financial is 1.12 times less risky than Truist Financial. It trades about 0.03 of its potential returns per unit of risk. Truist Financial Corp is currently generating about 0.03 per unit of risk. If you would invest 2,109 in Regions Financial on August 23, 2024 and sell it today you would earn a total of 565.00 from holding Regions Financial or generate 26.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. Truist Financial Corp
Performance |
Timeline |
Regions Financial |
Truist Financial Corp |
Regions Financial and Truist Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and Truist Financial
The main advantage of trading using opposite Regions Financial and Truist Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, Truist 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 Truist Financial will offset losses from the drop in Truist Financial's long position.Regions Financial vs. Waterstone Financial | Regions Financial vs. Mid Penn Bancorp | Regions Financial vs. ST Bancorp | Regions Financial vs. Republic Bancorp |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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