Correlation Between Byline Bancorp and WSFS Financial
Can any of the company-specific risk be diversified away by investing in both Byline Bancorp and WSFS Financial 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 Byline Bancorp and WSFS Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Byline Bancorp and WSFS Financial, you can compare the effects of market volatilities on Byline Bancorp and WSFS Financial 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 Byline Bancorp with a short position of WSFS Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Byline Bancorp and WSFS Financial.
Diversification Opportunities for Byline Bancorp and WSFS Financial
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Byline and WSFS is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Byline Bancorp and WSFS Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WSFS Financial and Byline Bancorp 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 Byline Bancorp are associated (or correlated) with WSFS Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WSFS Financial has no effect on the direction of Byline Bancorp i.e., Byline Bancorp and WSFS Financial go up and down completely randomly.
Pair Corralation between Byline Bancorp and WSFS Financial
Allowing for the 90-day total investment horizon Byline Bancorp is expected to generate 1.38 times less return on investment than WSFS Financial. In addition to that, Byline Bancorp is 1.22 times more volatile than WSFS Financial. It trades about 0.06 of its total potential returns per unit of risk. WSFS Financial is currently generating about 0.11 per unit of volatility. If you would invest 5,283 in WSFS Financial on August 13, 2025 and sell it today you would earn a total of 201.00 from holding WSFS Financial or generate 3.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Byline Bancorp vs. WSFS Financial
Performance |
| Timeline |
| Byline Bancorp |
| WSFS Financial |
Byline Bancorp and WSFS Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Byline Bancorp and WSFS Financial
The main advantage of trading using opposite Byline Bancorp and WSFS Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Byline Bancorp position performs unexpectedly, WSFS Financial 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 WSFS Financial will offset losses from the drop in WSFS Financial's long position.| Byline Bancorp vs. Republic Bancorp | Byline Bancorp vs. QCR Holdings | Byline Bancorp vs. Westamerica Bancorporation | Byline Bancorp vs. ConnectOne Bancorp |
| WSFS Financial vs. WesBanco | WSFS Financial vs. The Bancorp | WSFS Financial vs. BankUnited | WSFS Financial vs. Community Bank System |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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