Correlation Between Regions Financial and Community Trust
Can any of the company-specific risk be diversified away by investing in both Regions Financial and Community Trust 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 Community Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and Community Trust Bancorp, you can compare the effects of market volatilities on Regions Financial and Community Trust 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 Community Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and Community Trust.
Diversification Opportunities for Regions Financial and Community Trust
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Regions and Community is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and Community Trust Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Community Trust 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 Community Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Community Trust Bancorp has no effect on the direction of Regions Financial i.e., Regions Financial and Community Trust go up and down completely randomly.
Pair Corralation between Regions Financial and Community Trust
Allowing for the 90-day total investment horizon Regions Financial is expected to generate 0.71 times more return on investment than Community Trust. However, Regions Financial is 1.41 times less risky than Community Trust. It trades about 0.22 of its potential returns per unit of risk. Community Trust Bancorp is currently generating about 0.14 per unit of risk. If you would invest 2,406 in Regions Financial on August 31, 2024 and sell it today you would earn a total of 319.00 from holding Regions Financial or generate 13.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 95.65% |
| Values | Daily Returns |
Regions Financial vs. Community Trust Bancorp
Performance |
| Timeline |
| Regions Financial |
| Community Trust Bancorp |
Regions Financial and Community Trust Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Regions Financial and Community Trust
The main advantage of trading using opposite Regions Financial and Community Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, Community Trust 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 Community Trust will offset losses from the drop in Community Trust's long position.| Regions Financial vs. KeyCorp | Regions Financial vs. Fifth Third Bancorp | Regions Financial vs. Zions Bancorporation | Regions Financial vs. Huntington Bancshares Incorporated |
| Community Trust vs. Home Bancorp | Community Trust vs. Heritage Financial | Community Trust vs. First Northwest Bancorp | Community Trust vs. HomeTrust Bancshares |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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