Correlation Between Uber Technologies and Snowflake

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Uber Technologies and Snowflake 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 Snowflake into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and Snowflake, you can compare the effects of market volatilities on Uber Technologies and Snowflake 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 Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and Snowflake.

Diversification Opportunities for Uber Technologies and Snowflake

-0.04
  Correlation Coefficient

Good diversification

The 3 months correlation between Uber and Snowflake is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake 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 Snowflake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snowflake has no effect on the direction of Uber Technologies i.e., Uber Technologies and Snowflake go up and down completely randomly.

Pair Corralation between Uber Technologies and Snowflake

Given the investment horizon of 90 days Uber Technologies is expected to under-perform the Snowflake. But the stock apears to be less risky and, when comparing its historical volatility, Uber Technologies is 2.84 times less risky than Snowflake. The stock trades about -0.23 of its potential returns per unit of risk. The Snowflake is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest  11,361  in Snowflake on August 24, 2024 and sell it today you would earn a total of  5,774  from holding Snowflake or generate 50.82% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Uber Technologies  vs.  Snowflake

 Performance 
       Timeline  
Uber Technologies 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Uber Technologies has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable technical and fundamental indicators, Uber Technologies is not utilizing all of its potentials. The recent stock price agitation, may contribute to short-term losses for the retail investors.
Snowflake 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of fairly inconsistent basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

Uber Technologies and Snowflake Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Uber Technologies and Snowflake

The main advantage of trading using opposite Uber Technologies and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, Snowflake 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 Snowflake will offset losses from the drop in Snowflake's long position.
The idea behind Uber Technologies and Snowflake 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.
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

Other Complementary Tools

Global Correlations
Find global opportunities by holding instruments from different markets
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Transaction History
View history of all your transactions and understand their impact on performance
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
FinTech Suite
Use AI to screen and filter profitable investment opportunities