Correlation Between Manhattan Associates and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Manhattan Associates 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 Manhattan Associates and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manhattan Associates and Uber Technologies, you can compare the effects of market volatilities on Manhattan Associates 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 Manhattan Associates with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manhattan Associates and Uber Technologies.
Diversification Opportunities for Manhattan Associates and Uber Technologies
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Manhattan and Uber is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Manhattan Associates and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Manhattan Associates 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 Manhattan Associates 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 Manhattan Associates i.e., Manhattan Associates and Uber Technologies go up and down completely randomly.
Pair Corralation between Manhattan Associates and Uber Technologies
Given the investment horizon of 90 days Manhattan Associates is expected to generate 0.67 times more return on investment than Uber Technologies. However, Manhattan Associates is 1.5 times less risky than Uber Technologies. It trades about 0.12 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.08 per unit of risk. If you would invest 26,374 in Manhattan Associates on September 13, 2024 and sell it today you would earn a total of 3,693 from holding Manhattan Associates or generate 14.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Manhattan Associates vs. Uber Technologies
Performance |
Timeline |
Manhattan Associates |
Uber Technologies |
Manhattan Associates and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manhattan Associates and Uber Technologies
The main advantage of trading using opposite Manhattan Associates and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manhattan Associates 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.Manhattan Associates vs. Blackbaud | Manhattan Associates vs. Bentley Systems | Manhattan Associates vs. Paylocity Holdng | Manhattan Associates vs. ANSYS Inc |
Uber Technologies vs. Zoom Video Communications | Uber Technologies vs. Snowflake | Uber Technologies vs. Workday | Uber Technologies vs. C3 Ai Inc |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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