Correlation Between IF Bancorp and WSFS Financial
Can any of the company-specific risk be diversified away by investing in both IF 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 IF 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 IF Bancorp and WSFS Financial, you can compare the effects of market volatilities on IF 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 IF Bancorp with a short position of WSFS Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of IF Bancorp and WSFS Financial.
Diversification Opportunities for IF Bancorp and WSFS Financial
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between IROQ and WSFS is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding IF Bancorp and WSFS Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WSFS Financial and IF 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 IF 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 IF Bancorp i.e., IF Bancorp and WSFS Financial go up and down completely randomly.
Pair Corralation between IF Bancorp and WSFS Financial
Given the investment horizon of 90 days IF Bancorp is expected to generate 1.23 times more return on investment than WSFS Financial. However, IF Bancorp is 1.23 times more volatile than WSFS Financial. It trades about 0.05 of its potential returns per unit of risk. WSFS Financial is currently generating about -0.02 per unit of risk. If you would invest 2,396 in IF Bancorp on May 12, 2025 and sell it today you would earn a total of 104.00 from holding IF Bancorp or generate 4.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 87.3% |
Values | Daily Returns |
IF Bancorp vs. WSFS Financial
Performance |
Timeline |
IF Bancorp |
WSFS Financial |
IF Bancorp and WSFS Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IF Bancorp and WSFS Financial
The main advantage of trading using opposite IF Bancorp and WSFS Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IF 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.IF Bancorp vs. Commerzbank AG | IF Bancorp vs. Investar Holding Corp | IF Bancorp vs. Colony Bankcorp | IF Bancorp vs. Southern Missouri Bancorp |
WSFS Financial vs. Univest Pennsylvania | WSFS Financial vs. Waterstone Financial | WSFS Financial vs. Mid Penn Bancorp | WSFS Financial vs. ST Bancorp |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Money Managers Screen money managers from public funds and ETFs managed around the world |