Correlation Between Univest Pennsylvania and Penns Woods
Can any of the company-specific risk be diversified away by investing in both Univest Pennsylvania and Penns Woods 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 Univest Pennsylvania and Penns Woods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Univest Pennsylvania and Penns Woods Bancorp, you can compare the effects of market volatilities on Univest Pennsylvania and Penns Woods 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 Univest Pennsylvania with a short position of Penns Woods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Univest Pennsylvania and Penns Woods.
Diversification Opportunities for Univest Pennsylvania and Penns Woods
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Univest and Penns is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Univest Pennsylvania and Penns Woods Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penns Woods Bancorp and Univest Pennsylvania 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 Univest Pennsylvania are associated (or correlated) with Penns Woods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penns Woods Bancorp has no effect on the direction of Univest Pennsylvania i.e., Univest Pennsylvania and Penns Woods go up and down completely randomly.
Pair Corralation between Univest Pennsylvania and Penns Woods
Given the investment horizon of 90 days Univest Pennsylvania is expected to generate 1.24 times less return on investment than Penns Woods. In addition to that, Univest Pennsylvania is 1.7 times more volatile than Penns Woods Bancorp. It trades about 0.22 of its total potential returns per unit of risk. Penns Woods Bancorp is currently generating about 0.46 per unit of volatility. If you would invest 2,687 in Penns Woods Bancorp on September 2, 2024 and sell it today you would earn a total of 541.00 from holding Penns Woods Bancorp or generate 20.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Univest Pennsylvania vs. Penns Woods Bancorp
Performance |
Timeline |
Univest Pennsylvania |
Penns Woods Bancorp |
Univest Pennsylvania and Penns Woods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Univest Pennsylvania and Penns Woods
The main advantage of trading using opposite Univest Pennsylvania and Penns Woods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Univest Pennsylvania position performs unexpectedly, Penns Woods 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 Penns Woods will offset losses from the drop in Penns Woods' long position.Univest Pennsylvania vs. Waterstone Financial | Univest Pennsylvania vs. Mid Penn Bancorp | Univest Pennsylvania vs. ST Bancorp | Univest Pennsylvania vs. Republic Bancorp |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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