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
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Snowflake and Uber is -0.43. 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
Assuming the 90 days trading horizon Snowflake is expected to generate 0.82 times more return on investment than Uber Technologies. However, Snowflake is 1.21 times less risky than Uber Technologies. It trades about 0.01 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.13 per unit of risk. If you would invest 2,514 in Snowflake on September 26, 2024 and sell it today you would earn a total of 0.00 from holding Snowflake or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very 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. ServiceNow | Uber Technologies vs. Shopify | Uber Technologies vs. Snowflake | Uber Technologies vs. Autodesk |
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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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