Correlation Between First United and Greene County
Can any of the company-specific risk be diversified away by investing in both First United and Greene County 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 First United and Greene County into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First United and Greene County Bancorp, you can compare the effects of market volatilities on First United and Greene County 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 First United with a short position of Greene County. Check out your portfolio center. Please also check ongoing floating volatility patterns of First United and Greene County.
Diversification Opportunities for First United and Greene County
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between First and Greene is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding First United and Greene County Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greene County Bancorp and First United 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 First United are associated (or correlated) with Greene County. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greene County Bancorp has no effect on the direction of First United i.e., First United and Greene County go up and down completely randomly.
Pair Corralation between First United and Greene County
Given the investment horizon of 90 days First United is expected to generate 0.47 times more return on investment than Greene County. However, First United is 2.13 times less risky than Greene County. It trades about 0.18 of its potential returns per unit of risk. Greene County Bancorp is currently generating about 0.03 per unit of risk. If you would invest 2,157 in First United on August 27, 2024 and sell it today you would earn a total of 1,340 from holding First United or generate 62.12% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
First United vs. Greene County Bancorp
Performance |
| Timeline |
| First United |
| Greene County Bancorp |
First United and Greene County Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First United and Greene County
The main advantage of trading using opposite First United and Greene County positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First United position performs unexpectedly, Greene County 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 Greene County will offset losses from the drop in Greene County's long position.| First United vs. First Community | First United vs. Greene County Bancorp | First United vs. Community West Bancshares | First United vs. Affinity Bancshares |
| Greene County vs. Community West Bancshares | Greene County vs. First Northwest Bancorp | Greene County vs. Home Federal Bancorp | Greene County vs. First Financial Northwest |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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