Correlation Between Shopify and SentinelOne

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

Diversification Opportunities for Shopify and SentinelOne

0.62
  Correlation Coefficient

Poor diversification

The 3 months correlation between Shopify and SentinelOne is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Shopify and SentinelOne in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SentinelOne and Shopify 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 Shopify are associated (or correlated) with SentinelOne. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SentinelOne has no effect on the direction of Shopify i.e., Shopify and SentinelOne go up and down completely randomly.

Pair Corralation between Shopify and SentinelOne

Assuming the 90 days trading horizon Shopify is expected to generate 0.75 times more return on investment than SentinelOne. However, Shopify is 1.33 times less risky than SentinelOne. It trades about -0.13 of its potential returns per unit of risk. SentinelOne is currently generating about -0.11 per unit of risk. If you would invest  10,648  in Shopify on January 24, 2024 and sell it today you would lose (538.00) from holding Shopify or give up 5.05% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Shopify  vs.  SentinelOne

 Performance 
       Timeline  
Shopify 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Shopify has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, Shopify is not utilizing all of its potentials. The latest stock price disarray, may contribute to short-term losses for the investors.
SentinelOne 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days SentinelOne has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in May 2024. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Shopify and SentinelOne Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Shopify and SentinelOne

The main advantage of trading using opposite Shopify and SentinelOne positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shopify position performs unexpectedly, SentinelOne 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 SentinelOne will offset losses from the drop in SentinelOne's long position.
The idea behind Shopify and SentinelOne 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

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