Correlation Between First Financial and Cambridge Bancorp
Can any of the company-specific risk be diversified away by investing in both First Financial and Cambridge 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 First Financial and Cambridge Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Financial Northwest and Cambridge Bancorp, you can compare the effects of market volatilities on First Financial and Cambridge 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 First Financial with a short position of Cambridge Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Financial and Cambridge Bancorp.
Diversification Opportunities for First Financial and Cambridge Bancorp
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between First and Cambridge is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding First Financial Northwest and Cambridge Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cambridge Bancorp and First 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 First Financial Northwest are associated (or correlated) with Cambridge Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cambridge Bancorp has no effect on the direction of First Financial i.e., First Financial and Cambridge Bancorp go up and down completely randomly.
Pair Corralation between First Financial and Cambridge Bancorp
If you would invest 2,267 in First Financial Northwest on August 25, 2024 and sell it today you would earn a total of 4.00 from holding First Financial Northwest or generate 0.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 4.55% |
| Values | Daily Returns |
First Financial Northwest vs. Cambridge Bancorp
Performance |
| Timeline |
| First Financial Northwest |
| Cambridge Bancorp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
First Financial and Cambridge Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Financial and Cambridge Bancorp
The main advantage of trading using opposite First Financial and Cambridge Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Financial position performs unexpectedly, Cambridge 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 Cambridge Bancorp will offset losses from the drop in Cambridge Bancorp's long position.| First Financial vs. Home Federal Bancorp | First Financial vs. First Northwest Bancorp | First Financial vs. First Capital | First Financial vs. Community West Bancshares |
| Cambridge Bancorp vs. First Community | Cambridge Bancorp vs. Community West Bancshares | Cambridge Bancorp vs. First Financial Northwest | Cambridge Bancorp vs. First Northwest Bancorp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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