Correlation Between Pathfinder Bancorp and Comerica
Can any of the company-specific risk be diversified away by investing in both Pathfinder Bancorp and Comerica 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 Pathfinder Bancorp and Comerica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pathfinder Bancorp and Comerica, you can compare the effects of market volatilities on Pathfinder Bancorp and Comerica 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 Pathfinder Bancorp with a short position of Comerica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pathfinder Bancorp and Comerica.
Diversification Opportunities for Pathfinder Bancorp and Comerica
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pathfinder and Comerica is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Pathfinder Bancorp and Comerica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comerica and Pathfinder 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 Pathfinder Bancorp are associated (or correlated) with Comerica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Comerica has no effect on the direction of Pathfinder Bancorp i.e., Pathfinder Bancorp and Comerica go up and down completely randomly.
Pair Corralation between Pathfinder Bancorp and Comerica
Given the investment horizon of 90 days Pathfinder Bancorp is expected to generate 1.52 times more return on investment than Comerica. However, Pathfinder Bancorp is 1.52 times more volatile than Comerica. It trades about -0.02 of its potential returns per unit of risk. Comerica is currently generating about -0.19 per unit of risk. If you would invest 1,767 in Pathfinder Bancorp on September 14, 2024 and sell it today you would lose (23.00) from holding Pathfinder Bancorp or give up 1.3% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Pathfinder Bancorp vs. Comerica
Performance |
| Timeline |
| Pathfinder Bancorp |
| Comerica |
Pathfinder Bancorp and Comerica Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pathfinder Bancorp and Comerica
The main advantage of trading using opposite Pathfinder Bancorp and Comerica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pathfinder Bancorp position performs unexpectedly, Comerica 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 Comerica will offset losses from the drop in Comerica's long position.| Pathfinder Bancorp vs. Comerica | Pathfinder Bancorp vs. Truist Financial Corp | Pathfinder Bancorp vs. Fifth Third Bancorp | Pathfinder Bancorp vs. Zions Bancorporation |
| Comerica vs. Western Alliance Bancorporation | Comerica vs. KeyCorp | Comerica vs. Truist Financial Corp | Comerica vs. Zions Bancorporation |
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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