Correlation Between Great Elm and National Rural
Can any of the company-specific risk be diversified away by investing in both Great Elm and National Rural 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 Great Elm and National Rural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great Elm Group and National Rural Utilities, you can compare the effects of market volatilities on Great Elm and National Rural 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 Great Elm with a short position of National Rural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great Elm and National Rural.
Diversification Opportunities for Great Elm and National Rural
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Great and National is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Great Elm Group and National Rural Utilities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Rural Utilities and Great Elm 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 Great Elm Group are associated (or correlated) with National Rural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Rural Utilities has no effect on the direction of Great Elm i.e., Great Elm and National Rural go up and down completely randomly.
Pair Corralation between Great Elm and National Rural
Assuming the 90 days horizon Great Elm Group is expected to generate 1.65 times more return on investment than National Rural. However, Great Elm is 1.65 times more volatile than National Rural Utilities. It trades about 0.05 of its potential returns per unit of risk. National Rural Utilities is currently generating about -0.07 per unit of risk. If you would invest 2,339 in Great Elm Group on September 13, 2024 and sell it today you would earn a total of 77.00 from holding Great Elm Group or generate 3.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Great Elm Group vs. National Rural Utilities
Performance |
Timeline |
Great Elm Group |
National Rural Utilities |
Great Elm and National Rural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great Elm and National Rural
The main advantage of trading using opposite Great Elm and National Rural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great Elm position performs unexpectedly, National Rural 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 National Rural will offset losses from the drop in National Rural's long position.Great Elm vs. Atlanticus Holdings | Great Elm vs. Great Elm Capital | Great Elm vs. Aquagold International | Great Elm vs. Morningstar Unconstrained Allocation |
National Rural vs. CMS Energy Corp | National Rural vs. Southern Co | National Rural vs. Duke Energy Corp | National Rural vs. Southern Co |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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