Correlation Between WSFS Financial and Univest Pennsylvania
Can any of the company-specific risk be diversified away by investing in both WSFS Financial and Univest Pennsylvania 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 WSFS Financial and Univest Pennsylvania into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WSFS Financial and Univest Pennsylvania, you can compare the effects of market volatilities on WSFS Financial and Univest Pennsylvania 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 WSFS Financial with a short position of Univest Pennsylvania. Check out your portfolio center. Please also check ongoing floating volatility patterns of WSFS Financial and Univest Pennsylvania.
Diversification Opportunities for WSFS Financial and Univest Pennsylvania
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between WSFS and Univest is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding WSFS Financial and Univest Pennsylvania in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Univest Pennsylvania and WSFS Financial 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 WSFS Financial are associated (or correlated) with Univest Pennsylvania. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Univest Pennsylvania has no effect on the direction of WSFS Financial i.e., WSFS Financial and Univest Pennsylvania go up and down completely randomly.
Pair Corralation between WSFS Financial and Univest Pennsylvania
Given the investment horizon of 90 days WSFS Financial is expected to generate 0.96 times more return on investment than Univest Pennsylvania. However, WSFS Financial is 1.04 times less risky than Univest Pennsylvania. It trades about 0.21 of its potential returns per unit of risk. Univest Pennsylvania is currently generating about 0.17 per unit of risk. If you would invest 4,752 in WSFS Financial on April 21, 2025 and sell it today you would earn a total of 1,065 from holding WSFS Financial or generate 22.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
WSFS Financial vs. Univest Pennsylvania
Performance |
Timeline |
WSFS Financial |
Univest Pennsylvania |
WSFS Financial and Univest Pennsylvania Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WSFS Financial and Univest Pennsylvania
The main advantage of trading using opposite WSFS Financial and Univest Pennsylvania positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WSFS Financial position performs unexpectedly, Univest Pennsylvania 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 Univest Pennsylvania will offset losses from the drop in Univest Pennsylvania's long position.WSFS Financial vs. Univest Pennsylvania | WSFS Financial vs. Waterstone Financial | WSFS Financial vs. Mid Penn Bancorp | WSFS Financial vs. ST 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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