Correlation Between First Community and Bankwell Financial
Can any of the company-specific risk be diversified away by investing in both First Community and Bankwell 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 First Community and Bankwell Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Community and Bankwell Financial Group, you can compare the effects of market volatilities on First Community and Bankwell 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 First Community with a short position of Bankwell Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Community and Bankwell Financial.
Diversification Opportunities for First Community and Bankwell Financial
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Bankwell is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding First Community and Bankwell Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bankwell Financial and First Community 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 First Community are associated (or correlated) with Bankwell Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bankwell Financial has no effect on the direction of First Community i.e., First Community and Bankwell Financial go up and down completely randomly.
Pair Corralation between First Community and Bankwell Financial
Given the investment horizon of 90 days First Community is expected to under-perform the Bankwell Financial. In addition to that, First Community is 1.06 times more volatile than Bankwell Financial Group. It trades about -0.03 of its total potential returns per unit of risk. Bankwell Financial Group is currently generating about 0.0 per unit of volatility. If you would invest 3,109 in Bankwell Financial Group on December 29, 2024 and sell it today you would lose (42.00) from holding Bankwell Financial Group or give up 1.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Community vs. Bankwell Financial Group
Performance |
Timeline |
First Community |
Bankwell Financial |
First Community and Bankwell Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Community and Bankwell Financial
The main advantage of trading using opposite First Community and Bankwell Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Community position performs unexpectedly, Bankwell 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 Bankwell Financial will offset losses from the drop in Bankwell Financial's long position.First Community vs. Community West Bancshares | First Community vs. First Financial Northwest | First Community vs. First Northwest Bancorp | First Community vs. Home Federal 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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