Correlation Between GE Vernova and United Utilities
Can any of the company-specific risk be diversified away by investing in both GE Vernova and United Utilities 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 GE Vernova and United Utilities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GE Vernova LLC and United Utilities Group, you can compare the effects of market volatilities on GE Vernova and United Utilities 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 GE Vernova with a short position of United Utilities. Check out your portfolio center. Please also check ongoing floating volatility patterns of GE Vernova and United Utilities.
Diversification Opportunities for GE Vernova and United Utilities
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GEV and United is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding GE Vernova LLC and United Utilities Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Utilities and GE Vernova 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 GE Vernova LLC are associated (or correlated) with United Utilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Utilities has no effect on the direction of GE Vernova i.e., GE Vernova and United Utilities go up and down completely randomly.
Pair Corralation between GE Vernova and United Utilities
Considering the 90-day investment horizon GE Vernova LLC is expected to generate 2.46 times more return on investment than United Utilities. However, GE Vernova is 2.46 times more volatile than United Utilities Group. It trades about 0.3 of its potential returns per unit of risk. United Utilities Group is currently generating about 0.09 per unit of risk. If you would invest 40,663 in GE Vernova LLC on May 7, 2025 and sell it today you would earn a total of 24,309 from holding GE Vernova LLC or generate 59.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
GE Vernova LLC vs. United Utilities Group
Performance |
Timeline |
GE Vernova LLC |
United Utilities |
GE Vernova and United Utilities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GE Vernova and United Utilities
The main advantage of trading using opposite GE Vernova and United Utilities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GE Vernova position performs unexpectedly, United Utilities 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 Utilities will offset losses from the drop in United Utilities' long position.GE Vernova vs. Global Net Lease | GE Vernova vs. Monster Beverage Corp | GE Vernova vs. Ryder System | GE Vernova vs. Treasury Wine Estates |
United Utilities vs. United Utilities Group | United Utilities vs. American Water Works | United Utilities vs. Severn Trent PLC | United Utilities vs. California Water Service |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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