Correlation Between ServiceNow and Zscaler

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

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

Diversification Opportunities for ServiceNow and Zscaler

0.51

Correlation Coefficient

ServiceNow  Zscaler

Very weak diversification

The 3 months correlation between ServiceNow and Zscaler is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and Zscaler in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zscaler 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 Zscaler. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zscaler has no effect on the direction of ServiceNow i.e., ServiceNow and Zscaler go up and down completely randomly.

Pair Corralation between ServiceNow and Zscaler

Considering the 90-day investment horizon ServiceNow is expected to under-perform the Zscaler. But the stock apears to be less risky and, when comparing its historical volatility, ServiceNow is 1.08 times less risky than Zscaler. The stock trades about -0.03 of its potential returns per unit of risk. The Zscaler is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  29,114  in Zscaler on July 12, 2025 and sell it today you would earn a total of  2,407  from holding Zscaler or generate 8.27% return on investment over 90 days.

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

ServiceNow  vs.  Zscaler

ServiceNow

Risk-Adjusted Performance

Weakest

Over the last 90 days ServiceNow has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, ServiceNow is not utilizing all of its potentials. The current stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Zscaler

Risk-Adjusted Performance

Mild

Compared to the overall equity markets, risk-adjusted returns on investments in Zscaler are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady basic indicators, Zscaler may actually be approaching a critical reversion point that can send shares even higher in November 2025.

Pair Trading with ServiceNow and Zscaler

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

The idea behind ServiceNow and Zscaler 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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.