Correlation Between WSFS Financial and Stock Yards
Can any of the company-specific risk be diversified away by investing in both WSFS Financial and Stock Yards 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 Stock Yards into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WSFS Financial and Stock Yards Bancorp, you can compare the effects of market volatilities on WSFS Financial and Stock Yards 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 Stock Yards. Check out your portfolio center. Please also check ongoing floating volatility patterns of WSFS Financial and Stock Yards.
Diversification Opportunities for WSFS Financial and Stock Yards
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between WSFS and Stock is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding WSFS Financial and Stock Yards Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stock Yards Bancorp 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 Stock Yards. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stock Yards Bancorp has no effect on the direction of WSFS Financial i.e., WSFS Financial and Stock Yards go up and down completely randomly.
Pair Corralation between WSFS Financial and Stock Yards
Given the investment horizon of 90 days WSFS Financial is expected to generate 0.92 times more return on investment than Stock Yards. However, WSFS Financial is 1.09 times less risky than Stock Yards. It trades about 0.03 of its potential returns per unit of risk. Stock Yards Bancorp is currently generating about 0.0 per unit of risk. If you would invest 5,493 in WSFS Financial on May 17, 2025 and sell it today you would earn a total of 133.00 from holding WSFS Financial or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
WSFS Financial vs. Stock Yards Bancorp
Performance |
Timeline |
WSFS Financial |
Stock Yards Bancorp |
WSFS Financial and Stock Yards Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WSFS Financial and Stock Yards
The main advantage of trading using opposite WSFS Financial and Stock Yards positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WSFS Financial position performs unexpectedly, Stock Yards 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 Stock Yards will offset losses from the drop in Stock Yards' long position.WSFS Financial vs. Univest Pennsylvania | WSFS Financial vs. Waterstone Financial | WSFS Financial vs. Mid Penn Bancorp | WSFS Financial vs. ST Bancorp |
Stock Yards vs. German American Bancorp | Stock Yards vs. Western New England | Stock Yards vs. Republic Bancorp | Stock Yards vs. First Capital |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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