Correlation Between Quhuo and Snowflake

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

Diversification Opportunities for Quhuo and Snowflake

0.04
  Correlation Coefficient

Significant diversification

The 3 months correlation between Quhuo and Snowflake is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Quhuo and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Quhuo 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 Quhuo 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 Quhuo i.e., Quhuo and Snowflake go up and down completely randomly.

Pair Corralation between Quhuo and Snowflake

Allowing for the 90-day total investment horizon Quhuo is expected to generate 1.05 times less return on investment than Snowflake. In addition to that, Quhuo is 1.15 times more volatile than Snowflake. It trades about 0.13 of its total potential returns per unit of risk. Snowflake is currently generating about 0.15 per unit of volatility. If you would invest  11,284  in Snowflake on September 16, 2024 and sell it today you would earn a total of  5,483  from holding Snowflake or generate 48.59% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Quhuo  vs.  Snowflake

 Performance 
       Timeline  
Quhuo 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Quhuo are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite fairly abnormal technical indicators, Quhuo demonstrated solid returns over the last few months and may actually be approaching a breakup point.
Snowflake 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
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.

Quhuo and Snowflake Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Quhuo and Snowflake

The main advantage of trading using opposite Quhuo and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quhuo 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 Quhuo 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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