Correlation Between Uber Technologies and General Electric
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and General Electric 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 Uber Technologies and General Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and General Electric, you can compare the effects of market volatilities on Uber Technologies and General Electric 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 Uber Technologies with a short position of General Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and General Electric.
Diversification Opportunities for Uber Technologies and General Electric
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Uber and General is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and General Electric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Electric and Uber Technologies 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 Uber Technologies are associated (or correlated) with General Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Electric has no effect on the direction of Uber Technologies i.e., Uber Technologies and General Electric go up and down completely randomly.
Pair Corralation between Uber Technologies and General Electric
Assuming the 90 days trading horizon Uber Technologies is expected to generate 1.56 times more return on investment than General Electric. However, Uber Technologies is 1.56 times more volatile than General Electric. It trades about 0.07 of its potential returns per unit of risk. General Electric is currently generating about 0.09 per unit of risk. If you would invest 9,406 in Uber Technologies on December 29, 2024 and sell it today you would earn a total of 1,069 from holding Uber Technologies or generate 11.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Uber Technologies vs. General Electric
Performance |
Timeline |
Uber Technologies |
General Electric |
Uber Technologies and General Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uber Technologies and General Electric
The main advantage of trading using opposite Uber Technologies and General Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, General Electric 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 General Electric will offset losses from the drop in General Electric's long position.Uber Technologies vs. Pure Storage, | Uber Technologies vs. MAHLE Metal Leve | Uber Technologies vs. Nordon Indstrias Metalrgicas | Uber Technologies vs. G2D Investments |
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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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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