Correlation Between Snowflake and NETAPP

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

Diversification Opportunities for Snowflake and NETAPP

0.41
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Snowflake and NETAPP is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and NETAPP INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NETAPP INC 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 NETAPP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NETAPP INC has no effect on the direction of Snowflake i.e., Snowflake and NETAPP go up and down completely randomly.

Pair Corralation between Snowflake and NETAPP

Given the investment horizon of 90 days Snowflake is expected to generate 4.32 times more return on investment than NETAPP. However, Snowflake is 4.32 times more volatile than NETAPP INC. It trades about 0.2 of its potential returns per unit of risk. NETAPP INC is currently generating about -0.2 per unit of risk. If you would invest  17,079  in Snowflake on November 18, 2024 and sell it today you would earn a total of  1,681  from holding Snowflake or generate 9.84% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Snowflake  vs.  NETAPP INC

 Performance 
       Timeline  
Snowflake 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
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.
NETAPP INC 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days NETAPP INC has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, NETAPP is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Snowflake and NETAPP Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Snowflake and NETAPP

The main advantage of trading using opposite Snowflake and NETAPP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, NETAPP 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 NETAPP will offset losses from the drop in NETAPP's long position.
The idea behind Snowflake and NETAPP INC 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.
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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