Correlation Between Bank7 Corp and ESSA Bancorp
Can any of the company-specific risk be diversified away by investing in both Bank7 Corp and ESSA Bancorp 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 Bank7 Corp and ESSA Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank7 Corp and ESSA Bancorp, you can compare the effects of market volatilities on Bank7 Corp and ESSA Bancorp 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 Bank7 Corp with a short position of ESSA Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank7 Corp and ESSA Bancorp.
Diversification Opportunities for Bank7 Corp and ESSA Bancorp
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank7 and ESSA is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Bank7 Corp and ESSA Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ESSA Bancorp and Bank7 Corp 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 Bank7 Corp are associated (or correlated) with ESSA Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ESSA Bancorp has no effect on the direction of Bank7 Corp i.e., Bank7 Corp and ESSA Bancorp go up and down completely randomly.
Pair Corralation between Bank7 Corp and ESSA Bancorp
Given the investment horizon of 90 days Bank7 Corp is expected to generate 1.05 times more return on investment than ESSA Bancorp. However, Bank7 Corp is 1.05 times more volatile than ESSA Bancorp. It trades about 0.1 of its potential returns per unit of risk. ESSA Bancorp is currently generating about 0.06 per unit of risk. If you would invest 3,945 in Bank7 Corp on September 16, 2024 and sell it today you would earn a total of 571.00 from holding Bank7 Corp or generate 14.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank7 Corp vs. ESSA Bancorp
Performance |
Timeline |
Bank7 Corp |
ESSA Bancorp |
Bank7 Corp and ESSA Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank7 Corp and ESSA Bancorp
The main advantage of trading using opposite Bank7 Corp and ESSA Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank7 Corp position performs unexpectedly, ESSA Bancorp 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 ESSA Bancorp will offset losses from the drop in ESSA Bancorp's long position.The idea behind Bank7 Corp and ESSA Bancorp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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