Correlation Between Gitlab and Shopify

Can any of the company-specific risk be diversified away by investing in both Gitlab and Shopify 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 Gitlab and Shopify into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Gitlab Inc and Shopify, you can compare the effects of market volatilities on Gitlab and Shopify 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 Gitlab with a short position of Shopify. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gitlab and Shopify.

Diversification Opportunities for Gitlab and Shopify

0.78

Correlation Coefficient

Gitlab  Shopify

Poor diversification

The 3 months correlation between Gitlab and Shopify is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Gitlab Inc and Shopify in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shopify and Gitlab 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 Gitlab Inc are associated (or correlated) with Shopify. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shopify has no effect on the direction of Gitlab i.e., Gitlab and Shopify go up and down completely randomly.

Pair Corralation between Gitlab and Shopify

Given the investment horizon of 90 days Gitlab is expected to generate 1.26 times less return on investment than Shopify. In addition to that, Gitlab is 1.08 times more volatile than Shopify. It trades about 0.17 of its total potential returns per unit of risk. Shopify is currently generating about 0.23 per unit of volatility. If you would invest  7,126  in Shopify on August 31, 2024 and sell it today you would earn a total of  4,128  from holding Shopify or generate 57.93% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.44%
Values	Daily Returns

Gitlab Inc  vs.  Shopify

Gitlab Inc

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Gitlab Inc are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite somewhat conflicting essential indicators, Gitlab sustained solid returns over the last few months and may actually be approaching a breakup point.

Shopify

Risk-Adjusted Performance

18 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Shopify are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Shopify reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Gitlab and Shopify

The main advantage of trading using opposite Gitlab and Shopify positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gitlab position performs unexpectedly, Shopify 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 Shopify will offset losses from the drop in Shopify's long position.

The idea behind Gitlab Inc and Shopify 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.