Correlation Between Penns Woods and Central Valley
Can any of the company-specific risk be diversified away by investing in both Penns Woods and Central Valley 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 Penns Woods and Central Valley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penns Woods Bancorp and Central Valley Community, you can compare the effects of market volatilities on Penns Woods and Central Valley 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 Penns Woods with a short position of Central Valley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penns Woods and Central Valley.
Diversification Opportunities for Penns Woods and Central Valley
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Penns and Central is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Penns Woods Bancorp and Central Valley Community in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Valley Community and Penns Woods 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 Penns Woods Bancorp are associated (or correlated) with Central Valley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Valley Community has no effect on the direction of Penns Woods i.e., Penns Woods and Central Valley go up and down completely randomly.
Pair Corralation between Penns Woods and Central Valley
Given the investment horizon of 90 days Penns Woods Bancorp is expected to generate 0.61 times more return on investment than Central Valley. However, Penns Woods Bancorp is 1.64 times less risky than Central Valley. It trades about 0.04 of its potential returns per unit of risk. Central Valley Community is currently generating about -0.05 per unit of risk. If you would invest 2,451 in Penns Woods Bancorp on August 31, 2024 and sell it today you would earn a total of 726.00 from holding Penns Woods Bancorp or generate 29.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 28.45% |
Values | Daily Returns |
Penns Woods Bancorp vs. Central Valley Community
Performance |
Timeline |
Penns Woods Bancorp |
Central Valley Community |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Penns Woods and Central Valley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penns Woods and Central Valley
The main advantage of trading using opposite Penns Woods and Central Valley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penns Woods position performs unexpectedly, Central Valley 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 Central Valley will offset losses from the drop in Central Valley's long position.Penns Woods vs. KeyCorp | Penns Woods vs. Comerica | Penns Woods vs. First Horizon National | Penns Woods vs. Western Alliance Bancorporation |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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