Correlation Between Adtalem Global and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Adtalem Global and Uber Technologies 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 Adtalem Global and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Adtalem Global Education and Uber Technologies, you can compare the effects of market volatilities on Adtalem Global and Uber Technologies 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 Adtalem Global with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adtalem Global and Uber Technologies.
Diversification Opportunities for Adtalem Global and Uber Technologies
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Adtalem and Uber is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Adtalem Global Education and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Adtalem Global 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 Adtalem Global Education are associated (or correlated) with Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of Adtalem Global i.e., Adtalem Global and Uber Technologies go up and down completely randomly.
Pair Corralation between Adtalem Global and Uber Technologies
Assuming the 90 days trading horizon Adtalem Global Education is expected to generate 0.94 times more return on investment than Uber Technologies. However, Adtalem Global Education is 1.06 times less risky than Uber Technologies. It trades about 0.36 of its potential returns per unit of risk. Uber Technologies is currently generating about 0.32 per unit of risk. If you would invest 8,450 in Adtalem Global Education on October 22, 2024 and sell it today you would earn a total of 950.00 from holding Adtalem Global Education or generate 11.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Adtalem Global Education vs. Uber Technologies
Performance |
Timeline |
Adtalem Global Education |
Uber Technologies |
Adtalem Global and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adtalem Global and Uber Technologies
The main advantage of trading using opposite Adtalem Global and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adtalem Global position performs unexpectedly, Uber Technologies 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.Adtalem Global vs. Dalata Hotel Group | Adtalem Global vs. Summit Hotel Properties | Adtalem Global vs. InterContinental Hotels Group | Adtalem Global vs. Ribbon Communications |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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