Correlation Between IF Bancorp and Provident Bancorp
Can any of the company-specific risk be diversified away by investing in both IF Bancorp and Provident 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 IF Bancorp and Provident Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IF Bancorp and Provident Bancorp, you can compare the effects of market volatilities on IF Bancorp and Provident 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 IF Bancorp with a short position of Provident Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of IF Bancorp and Provident Bancorp.
Diversification Opportunities for IF Bancorp and Provident Bancorp
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between IROQ and Provident is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding IF Bancorp and Provident Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Provident Bancorp 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 Provident Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Provident Bancorp has no effect on the direction of IF Bancorp i.e., IF Bancorp and Provident Bancorp go up and down completely randomly.
Pair Corralation between IF Bancorp and Provident Bancorp
Given the investment horizon of 90 days IF Bancorp is expected to generate 1.44 times less return on investment than Provident Bancorp. In addition to that, IF Bancorp is 1.07 times more volatile than Provident Bancorp. It trades about 0.03 of its total potential returns per unit of risk. Provident Bancorp is currently generating about 0.04 per unit of volatility. If you would invest 1,188 in Provident Bancorp on December 1, 2024 and sell it today you would earn a total of 15.00 from holding Provident Bancorp or generate 1.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
IF Bancorp vs. Provident Bancorp
Performance |
| Timeline |
| IF Bancorp |
| Provident Bancorp |
IF Bancorp and Provident Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IF Bancorp and Provident Bancorp
The main advantage of trading using opposite IF Bancorp and Provident Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IF Bancorp position performs unexpectedly, Provident 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 Provident Bancorp will offset losses from the drop in Provident Bancorp's long position.| IF Bancorp vs. Home Bancorp | IF Bancorp vs. Commerzbank AG PK | IF Bancorp vs. ConnectOne Bancorp | IF Bancorp vs. Home Federal Bancorp |
| Provident Bancorp vs. Home Federal Bancorp | Provident Bancorp vs. Community West Bancshares | Provident Bancorp vs. First Financial Northwest | Provident Bancorp vs. First Northwest 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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