Correlation Between Snowflake and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Snowflake 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 Snowflake and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowflake and Uber Technologies, you can compare the effects of market volatilities on Snowflake 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 Snowflake with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowflake and Uber Technologies.
Diversification Opportunities for Snowflake and Uber Technologies
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Snowflake and Uber is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Snowflake 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 Snowflake 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 Snowflake i.e., Snowflake and Uber Technologies go up and down completely randomly.
Pair Corralation between Snowflake and Uber Technologies
Given the investment horizon of 90 days Snowflake is expected to generate 2.49 times less return on investment than Uber Technologies. In addition to that, Snowflake is 1.39 times more volatile than Uber Technologies. It trades about 0.02 of its total potential returns per unit of risk. Uber Technologies is currently generating about 0.08 per unit of volatility. If you would invest 2,963 in Uber Technologies on October 19, 2024 and sell it today you would earn a total of 3,771 from holding Uber Technologies or generate 127.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Snowflake vs. Uber Technologies
Performance |
Timeline |
Snowflake |
Uber Technologies |
Snowflake and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Snowflake and Uber Technologies
The main advantage of trading using opposite Snowflake and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake 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.The idea behind Snowflake and Uber Technologies pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Fundamental Analysis View fundamental data based on most recent published financial statements |