Correlation Between Washington Federal and Greene County
Can any of the company-specific risk be diversified away by investing in both Washington Federal 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 Washington Federal and Greene County into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Washington Federal and Greene County Bancorp, you can compare the effects of market volatilities on Washington Federal 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 Washington Federal with a short position of Greene County. Check out your portfolio center. Please also check ongoing floating volatility patterns of Washington Federal and Greene County.
Diversification Opportunities for Washington Federal and Greene County
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Washington and Greene is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Washington Federal 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 Washington Federal 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 Washington Federal 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 Washington Federal i.e., Washington Federal and Greene County go up and down completely randomly.
Pair Corralation between Washington Federal and Greene County
Given the investment horizon of 90 days Washington Federal is expected to generate 1.07 times more return on investment than Greene County. However, Washington Federal is 1.07 times more volatile than Greene County Bancorp. It trades about -0.15 of its potential returns per unit of risk. Greene County Bancorp is currently generating about -0.28 per unit of risk. If you would invest 3,221 in Washington Federal on December 23, 2024 and sell it today you would lose (455.00) from holding Washington Federal or give up 14.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Washington Federal vs. Greene County Bancorp
Performance |
Timeline |
Washington Federal |
Greene County Bancorp |
Washington Federal and Greene County Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Washington Federal and Greene County
The main advantage of trading using opposite Washington Federal and Greene County positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Washington Federal 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.Washington Federal vs. Finward Bancorp | Washington Federal vs. Great Southern Bancorp | Washington Federal vs. First Mid Illinois | Washington Federal vs. Franklin Financial Services |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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