Correlation Between Cambridge Bancorp and National Bankshares
Can any of the company-specific risk be diversified away by investing in both Cambridge Bancorp and National Bankshares 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 Cambridge Bancorp and National Bankshares into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cambridge Bancorp and National Bankshares, you can compare the effects of market volatilities on Cambridge Bancorp and National Bankshares 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 Cambridge Bancorp with a short position of National Bankshares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cambridge Bancorp and National Bankshares.
Diversification Opportunities for Cambridge Bancorp and National Bankshares
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cambridge and National is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Cambridge Bancorp and National Bankshares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Bankshares and Cambridge Bancorp 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 Cambridge Bancorp are associated (or correlated) with National Bankshares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Bankshares has no effect on the direction of Cambridge Bancorp i.e., Cambridge Bancorp and National Bankshares go up and down completely randomly.
Pair Corralation between Cambridge Bancorp and National Bankshares
If you would invest 2,917 in National Bankshares on August 30, 2024 and sell it today you would earn a total of 240.00 from holding National Bankshares or generate 8.23% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 2.33% |
| Values | Daily Returns |
Cambridge Bancorp vs. National Bankshares
Performance |
| Timeline |
| Cambridge Bancorp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| National Bankshares |
Cambridge Bancorp and National Bankshares Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cambridge Bancorp and National Bankshares
The main advantage of trading using opposite Cambridge Bancorp and National Bankshares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cambridge Bancorp position performs unexpectedly, National Bankshares 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 National Bankshares will offset losses from the drop in National Bankshares' long position.| Cambridge Bancorp vs. First Community | Cambridge Bancorp vs. Community West Bancshares | Cambridge Bancorp vs. First Financial Northwest | Cambridge Bancorp vs. First Northwest Bancorp |
| National Bankshares vs. Finward Bancorp | National Bankshares vs. Community West Bancshares | National Bankshares vs. First Financial Northwest | National Bankshares vs. Oak Valley 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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