Correlation Between Trade Desk and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Trade Desk 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 Trade Desk and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Trade Desk and Uber Technologies, you can compare the effects of market volatilities on Trade Desk 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 Trade Desk with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Trade Desk and Uber Technologies.
Diversification Opportunities for Trade Desk and Uber Technologies
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Trade and Uber is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding The Trade Desk and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Trade Desk 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 The Trade Desk 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 Trade Desk i.e., Trade Desk and Uber Technologies go up and down completely randomly.
Pair Corralation between Trade Desk and Uber Technologies
Assuming the 90 days horizon The Trade Desk is expected to generate 0.88 times more return on investment than Uber Technologies. However, The Trade Desk is 1.14 times less risky than Uber Technologies. It trades about 0.1 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.17 per unit of risk. If you would invest 10,844 in The Trade Desk on September 23, 2024 and sell it today you would earn a total of 1,110 from holding The Trade Desk or generate 10.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Trade Desk vs. Uber Technologies
Performance |
Timeline |
Trade Desk |
Uber Technologies |
Trade Desk and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Trade Desk and Uber Technologies
The main advantage of trading using opposite Trade Desk and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Trade Desk 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.Trade Desk vs. Salesforce | Trade Desk vs. ServiceNow | Trade Desk vs. Uber Technologies | Trade Desk vs. Snowflake |
Uber Technologies vs. Salesforce | Uber Technologies vs. ServiceNow | Uber Technologies vs. Snowflake | Uber Technologies vs. Shopify |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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