Correlation Between Republic Bancorp and IF Bancorp
Can any of the company-specific risk be diversified away by investing in both Republic Bancorp and IF 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 Republic Bancorp and IF Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Republic Bancorp and IF Bancorp, you can compare the effects of market volatilities on Republic Bancorp and IF 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 Republic Bancorp with a short position of IF Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Republic Bancorp and IF Bancorp.
Diversification Opportunities for Republic Bancorp and IF Bancorp
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Republic and IROQ is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Republic Bancorp and IF Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IF Bancorp and Republic 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 Republic Bancorp are associated (or correlated) with IF Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IF Bancorp has no effect on the direction of Republic Bancorp i.e., Republic Bancorp and IF Bancorp go up and down completely randomly.
Pair Corralation between Republic Bancorp and IF Bancorp
Assuming the 90 days horizon Republic Bancorp is expected to generate 1.17 times more return on investment than IF Bancorp. However, Republic Bancorp is 1.17 times more volatile than IF Bancorp. It trades about 0.1 of its potential returns per unit of risk. IF Bancorp is currently generating about 0.11 per unit of risk. If you would invest 4,673 in Republic Bancorp on August 27, 2024 and sell it today you would earn a total of 3,089 from holding Republic Bancorp or generate 66.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 91.94% |
| Values | Daily Returns |
Republic Bancorp vs. IF Bancorp
Performance |
| Timeline |
| Republic Bancorp |
| IF Bancorp |
Republic Bancorp and IF Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Republic Bancorp and IF Bancorp
The main advantage of trading using opposite Republic Bancorp and IF Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Republic Bancorp position performs unexpectedly, IF 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 IF Bancorp will offset losses from the drop in IF Bancorp's long position.| Republic Bancorp vs. First Community | Republic Bancorp vs. Community West Bancshares | Republic Bancorp vs. First Financial Northwest | Republic Bancorp vs. First Northwest Bancorp |
| IF Bancorp vs. Home Bancorp | IF Bancorp vs. Commerzbank AG PK | IF Bancorp vs. ConnectOne Bancorp | IF Bancorp vs. Home Federal 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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