Correlation Between William Penn and Pathfinder Bancorp
Can any of the company-specific risk be diversified away by investing in both William Penn and Pathfinder 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 William Penn and Pathfinder Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between William Penn Bancorp and Pathfinder Bancorp, you can compare the effects of market volatilities on William Penn and Pathfinder 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 William Penn with a short position of Pathfinder Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of William Penn and Pathfinder Bancorp.
Diversification Opportunities for William Penn and Pathfinder Bancorp
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between William and Pathfinder is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding William Penn Bancorp and Pathfinder Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pathfinder Bancorp and William Penn 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 William Penn Bancorp are associated (or correlated) with Pathfinder Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pathfinder Bancorp has no effect on the direction of William Penn i.e., William Penn and Pathfinder Bancorp go up and down completely randomly.
Pair Corralation between William Penn and Pathfinder Bancorp
Given the investment horizon of 90 days William Penn is expected to generate 1.03 times less return on investment than Pathfinder Bancorp. But when comparing it to its historical volatility, William Penn Bancorp is 2.05 times less risky than Pathfinder Bancorp. It trades about 0.14 of its potential returns per unit of risk. Pathfinder Bancorp is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,610 in Pathfinder Bancorp on September 12, 2024 and sell it today you would earn a total of 167.00 from holding Pathfinder Bancorp or generate 10.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
William Penn Bancorp vs. Pathfinder Bancorp
Performance |
Timeline |
William Penn Bancorp |
Pathfinder Bancorp |
William Penn and Pathfinder Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with William Penn and Pathfinder Bancorp
The main advantage of trading using opposite William Penn and Pathfinder Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if William Penn position performs unexpectedly, Pathfinder 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 Pathfinder Bancorp will offset losses from the drop in Pathfinder Bancorp's long position.William Penn vs. Home Federal Bancorp | William Penn vs. First Financial Northwest | William Penn vs. First Northwest Bancorp | William Penn vs. First Capital |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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