Correlation Between Shopify and GM

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

Diversification Opportunities for Shopify and GM

-0.5
  Correlation Coefficient

Very good diversification

The 3 months correlation between Shopify and GM is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Shopify and General Motors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Motors 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 GM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Motors has no effect on the direction of Shopify i.e., Shopify and GM go up and down completely randomly.

Pair Corralation between Shopify and GM

Given the investment horizon of 90 days Shopify is expected to under-perform the GM. In addition to that, Shopify is 1.75 times more volatile than General Motors. It trades about -0.07 of its total potential returns per unit of risk. General Motors is currently generating about 0.2 per unit of volatility. If you would invest  3,491  in General Motors on January 17, 2024 and sell it today you would earn a total of  778.00  from holding General Motors or generate 22.29% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Shopify  vs.  General Motors

 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. Even with unfluctuating performance in the last few months, the Stock's basic indicators remain relatively invariable which may send shares a bit higher in May 2024. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.
General Motors 

Risk-Adjusted Performance

15 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of very unsteady primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

Shopify and GM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Shopify and GM

The main advantage of trading using opposite Shopify and GM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shopify position performs unexpectedly, GM 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 GM will offset losses from the drop in GM's long position.
The idea behind Shopify and General Motors 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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