Correlation Between Washington Federal and Capital Bancorp
Can any of the company-specific risk be diversified away by investing in both Washington Federal and Capital Bancorp 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 Washington Federal and Capital Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Washington Federal and Capital Bancorp, you can compare the effects of market volatilities on Washington Federal and Capital Bancorp 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 Washington Federal with a short position of Capital Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Washington Federal and Capital Bancorp.
Diversification Opportunities for Washington Federal and Capital Bancorp
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Washington and Capital is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Washington Federal and Capital Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capital Bancorp and Washington Federal 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 Washington Federal are associated (or correlated) with Capital Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capital Bancorp has no effect on the direction of Washington Federal i.e., Washington Federal and Capital Bancorp go up and down completely randomly.
Pair Corralation between Washington Federal and Capital Bancorp
Assuming the 90 days horizon Washington Federal is expected to generate 4.24 times less return on investment than Capital Bancorp. In addition to that, Washington Federal is 1.09 times more volatile than Capital Bancorp. It trades about 0.01 of its total potential returns per unit of risk. Capital Bancorp is currently generating about 0.03 per unit of volatility. If you would invest 2,229 in Capital Bancorp on October 12, 2024 and sell it today you would earn a total of 447.00 from holding Capital Bancorp or generate 20.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Washington Federal vs. Capital Bancorp
Performance |
Timeline |
Washington Federal |
Capital Bancorp |
Washington Federal and Capital Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Washington Federal and Capital Bancorp
The main advantage of trading using opposite Washington Federal and Capital Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Washington Federal position performs unexpectedly, Capital Bancorp 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 Capital Bancorp will offset losses from the drop in Capital Bancorp's long position.Washington Federal vs. Fulton Financial | Washington Federal vs. Texas Capital Bancshares | Washington Federal vs. Huntington Bancshares Incorporated | Washington Federal vs. Wintrust Financial Corp |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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