Correlation Between Regions Financial and First Hawaiian
Can any of the company-specific risk be diversified away by investing in both Regions Financial and First Hawaiian 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 Hawaiian 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 Hawaiian, you can compare the effects of market volatilities on Regions Financial and First Hawaiian 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 Hawaiian. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and First Hawaiian.
Diversification Opportunities for Regions Financial and First Hawaiian
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Regions and First is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and First Hawaiian in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Hawaiian 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 Hawaiian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Hawaiian has no effect on the direction of Regions Financial i.e., Regions Financial and First Hawaiian go up and down completely randomly.
Pair Corralation between Regions Financial and First Hawaiian
Assuming the 90 days horizon Regions Financial is expected to generate 2.01 times less return on investment than First Hawaiian. But when comparing it to its historical volatility, Regions Financial is 1.17 times less risky than First Hawaiian. It trades about 0.09 of its potential returns per unit of risk. First Hawaiian is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 2,019 in First Hawaiian on October 8, 2024 and sell it today you would earn a total of 481.00 from holding First Hawaiian or generate 23.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. First Hawaiian
Performance |
Timeline |
Regions Financial |
First Hawaiian |
Regions Financial and First Hawaiian Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and First Hawaiian
The main advantage of trading using opposite Regions Financial and First Hawaiian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, First Hawaiian 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 Hawaiian will offset losses from the drop in First Hawaiian's long position.Regions Financial vs. Superior Plus Corp | Regions Financial vs. NMI Holdings | Regions Financial vs. SIVERS SEMICONDUCTORS AB | Regions Financial vs. Talanx AG |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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