Correlation Between Washington Trust and Capital Bancorp
Can any of the company-specific risk be diversified away by investing in both Washington Trust 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 Trust 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 Trust Bancorp and Capital Bancorp, you can compare the effects of market volatilities on Washington Trust 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 Trust with a short position of Capital Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Washington Trust and Capital Bancorp.
Diversification Opportunities for Washington Trust and Capital Bancorp
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Washington and Capital is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Washington Trust Bancorp and Capital Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capital Bancorp and Washington Trust 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 Trust Bancorp 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 Trust i.e., Washington Trust and Capital Bancorp go up and down completely randomly.
Pair Corralation between Washington Trust and Capital Bancorp
Given the investment horizon of 90 days Washington Trust Bancorp is expected to under-perform the Capital Bancorp. In addition to that, Washington Trust is 1.57 times more volatile than Capital Bancorp. It trades about -0.37 of its total potential returns per unit of risk. Capital Bancorp is currently generating about -0.33 per unit of volatility. If you would invest 3,082 in Capital Bancorp on October 12, 2024 and sell it today you would lose (327.00) from holding Capital Bancorp or give up 10.61% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Washington Trust Bancorp vs. Capital Bancorp
Performance |
Timeline |
Washington Trust Bancorp |
Capital Bancorp |
Washington Trust and Capital Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Washington Trust and Capital Bancorp
The main advantage of trading using opposite Washington Trust and Capital Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Washington Trust 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 Trust vs. Univest Pennsylvania | Washington Trust vs. Waterstone Financial | Washington Trust vs. Mid Penn Bancorp | Washington Trust vs. ST 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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