Correlation Between Snowflake and APPLE

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

Diversification Opportunities for Snowflake and APPLE

-0.42
  Correlation Coefficient

Very good diversification

The 3 months correlation between Snowflake and APPLE is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and APPLE INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APPLE 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 APPLE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of APPLE INC has no effect on the direction of Snowflake i.e., Snowflake and APPLE go up and down completely randomly.

Pair Corralation between Snowflake and APPLE

Given the investment horizon of 90 days Snowflake is expected to generate 3.56 times more return on investment than APPLE. However, Snowflake is 3.56 times more volatile than APPLE INC. It trades about 0.29 of its potential returns per unit of risk. APPLE INC is currently generating about 0.14 per unit of risk. 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 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Snowflake  vs.  APPLE INC

 Performance 
       Timeline  
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.
APPLE INC 

Risk-Adjusted Performance

0 of 100

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

Snowflake and APPLE Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Snowflake and APPLE

The main advantage of trading using opposite Snowflake and APPLE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, APPLE 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 APPLE will offset losses from the drop in APPLE's long position.
The idea behind Snowflake and APPLE 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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