Correlation Between Dime Community and Brookline Bancorp
Can any of the company-specific risk be diversified away by investing in both Dime Community and Brookline 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 Dime Community and Brookline Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dime Community Bancshares and Brookline Bancorp, you can compare the effects of market volatilities on Dime Community and Brookline 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 Dime Community with a short position of Brookline Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dime Community and Brookline Bancorp.
Diversification Opportunities for Dime Community and Brookline Bancorp
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dime and Brookline is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Dime Community Bancshares and Brookline Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brookline Bancorp and Dime 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 Dime Community Bancshares are associated (or correlated) with Brookline Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brookline Bancorp has no effect on the direction of Dime Community i.e., Dime Community and Brookline Bancorp go up and down completely randomly.
Pair Corralation between Dime Community and Brookline Bancorp
Given the investment horizon of 90 days Dime Community Bancshares is expected to generate 1.18 times more return on investment than Brookline Bancorp. However, Dime Community is 1.18 times more volatile than Brookline Bancorp. It trades about 0.04 of its potential returns per unit of risk. Brookline Bancorp is currently generating about -0.04 per unit of risk. If you would invest 2,625 in Dime Community Bancshares on May 5, 2025 and sell it today you would earn a total of 88.00 from holding Dime Community Bancshares or generate 3.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dime Community Bancshares vs. Brookline Bancorp
Performance |
Timeline |
Dime Community Bancshares |
Brookline Bancorp |
Dime Community and Brookline Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dime Community and Brookline Bancorp
The main advantage of trading using opposite Dime Community and Brookline Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dime Community position performs unexpectedly, Brookline 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 Brookline Bancorp will offset losses from the drop in Brookline Bancorp's long position.Dime Community vs. Dime Community Bancshares | Dime Community vs. OceanFirst Financial Corp | Dime Community vs. ConnectOne Bancorp | Dime Community vs. Columbia Financial |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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