Correlation Between ServiceNow and Shopify

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

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

Diversification Opportunities for ServiceNow and Shopify

0.88

Correlation Coefficient

ServiceNow  Shopify

Very poor diversification

The 3 months correlation between ServiceNow and Shopify is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and Shopify in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shopify and ServiceNow 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 ServiceNow 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 ServiceNow i.e., ServiceNow and Shopify go up and down completely randomly.

Pair Corralation between ServiceNow and Shopify

Considering the 90-day investment horizon ServiceNow is expected to generate 2.19 times less return on investment than Shopify. But when comparing it to its historical volatility, ServiceNow is 2.0 times less risky than Shopify. It trades about 0.19 of its potential returns per unit of risk. Shopify is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest  7,407  in Shopify on August 30, 2024 and sell it today you would earn a total of  3,847  from holding Shopify or generate 51.94% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

ServiceNow  vs.  Shopify

ServiceNow

Risk-Adjusted Performance

15 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ServiceNow are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of fairly conflicting basic indicators, ServiceNow showed solid returns over the last few months and may actually be approaching a breakup point.

Shopify

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Shopify are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. Even with relatively unfluctuating basic indicators, Shopify reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with ServiceNow and Shopify

The main advantage of trading using opposite ServiceNow and Shopify positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ServiceNow 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 ServiceNow 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.