Correlation Between Snowflake and Uber Technologies

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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

0.09
  Correlation Coefficient

Significant diversification

The 3 months correlation between Snowflake and Uber is 0.09. 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 9.88 times less return on investment than Uber Technologies. In addition to that, Snowflake is 1.32 times more volatile than Uber Technologies. It trades about 0.01 of its total potential returns per unit of risk. Uber Technologies is currently generating about 0.09 per unit of volatility. If you would invest  2,875  in Uber Technologies on August 23, 2024 and sell it today you would earn a total of  4,085  from holding Uber Technologies or generate 142.09% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Snowflake  vs.  Uber Technologies

 Performance 
       Timeline  
Snowflake 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 12 (%) 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 

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 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.
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.

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