Correlation Between Georgia Power and United States
Can any of the company-specific risk be diversified away by investing in both Georgia Power and United States 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 Georgia Power and United States into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Georgia Power Co and United States Cellular, you can compare the effects of market volatilities on Georgia Power and United States 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 Georgia Power with a short position of United States. Check out your portfolio center. Please also check ongoing floating volatility patterns of Georgia Power and United States.
Diversification Opportunities for Georgia Power and United States
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Georgia and United is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Georgia Power Co and United States Cellular in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United States Cellular and Georgia Power 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 Georgia Power Co are associated (or correlated) with United States. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United States Cellular has no effect on the direction of Georgia Power i.e., Georgia Power and United States go up and down completely randomly.
Pair Corralation between Georgia Power and United States
Given the investment horizon of 90 days Georgia Power is expected to generate 47.19 times less return on investment than United States. But when comparing it to its historical volatility, Georgia Power Co is 2.35 times less risky than United States. It trades about 0.0 of its potential returns per unit of risk. United States Cellular is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,342 in United States Cellular on September 26, 2024 and sell it today you would earn a total of 883.00 from holding United States Cellular or generate 65.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Georgia Power Co vs. United States Cellular
Performance |
Timeline |
Georgia Power |
United States Cellular |
Georgia Power and United States Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Georgia Power and United States
The main advantage of trading using opposite Georgia Power and United States positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Georgia Power position performs unexpectedly, United States 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 United States will offset losses from the drop in United States' long position.Georgia Power vs. United States Cellular | Georgia Power vs. United States Cellular | Georgia Power vs. Office Properties Income | Georgia Power vs. Southern Company Series |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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