Correlation Between Uber Technologies and Beyond Meat
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and Beyond Meat 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 Beyond Meat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and Beyond Meat, you can compare the effects of market volatilities on Uber Technologies and Beyond Meat 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 Beyond Meat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and Beyond Meat.
Diversification Opportunities for Uber Technologies and Beyond Meat
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Uber and Beyond is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and Beyond Meat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beyond Meat 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 Beyond Meat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beyond Meat has no effect on the direction of Uber Technologies i.e., Uber Technologies and Beyond Meat go up and down completely randomly.
Pair Corralation between Uber Technologies and Beyond Meat
Given the investment horizon of 90 days Uber Technologies is expected to generate 0.63 times more return on investment than Beyond Meat. However, Uber Technologies is 1.6 times less risky than Beyond Meat. It trades about -0.15 of its potential returns per unit of risk. Beyond Meat is currently generating about -0.28 per unit of risk. If you would invest 7,838 in Uber Technologies on August 25, 2024 and sell it today you would lose (687.00) from holding Uber Technologies or give up 8.76% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Uber Technologies vs. Beyond Meat
Performance |
| Timeline |
| Uber Technologies |
| Beyond Meat |
Uber Technologies and Beyond Meat Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Uber Technologies and Beyond Meat
The main advantage of trading using opposite Uber Technologies and Beyond Meat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, Beyond Meat 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 Beyond Meat will offset losses from the drop in Beyond Meat's long position.| Uber Technologies vs. Manhattan Associates | Uber Technologies vs. Paycom Soft | Uber Technologies vs. Clearwater Analytics Holdings | Uber Technologies vs. Procore Technologies |
| Beyond Meat vs. Kraft Heinz Co | Beyond Meat vs. Hormel Foods | Beyond Meat vs. Kellanova | Beyond Meat vs. General Mills |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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