Correlation Between ServiceNow and HubSpot

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

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

Diversification Opportunities for ServiceNow and HubSpot

0.73

Correlation Coefficient

ServiceNow  HubSpot

Poor diversification

The 3 months correlation between ServiceNow and HubSpot is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and HubSpot in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HubSpot 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 HubSpot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HubSpot has no effect on the direction of ServiceNow i.e., ServiceNow and HubSpot go up and down completely randomly.

Pair Corralation between ServiceNow and HubSpot

Considering the 90-day investment horizon ServiceNow is expected to under-perform the HubSpot. In addition to that, ServiceNow is 1.08 times more volatile than HubSpot. It trades about -0.17 of its total potential returns per unit of risk. HubSpot is currently generating about -0.11 per unit of volatility. If you would invest  69,951  in HubSpot on December 30, 2024 and sell it today you would lose (11,740) from holding HubSpot or give up 16.78% of portfolio value over 90 days.

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

ServiceNow  vs.  HubSpot

ServiceNow

Risk-Adjusted Performance

Very Weak

Over the last 90 days ServiceNow has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of conflicting performance in the last few months, the Stock's basic indicators remain fairly stable which may send shares a bit higher in April 2025. The latest fuss may also be a sign of long-term up-swing for the venture sophisticated investors.

HubSpot

Risk-Adjusted Performance

Very Weak

Over the last 90 days HubSpot has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of abnormal performance in the last few months, the Stock's fundamental drivers remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with ServiceNow and HubSpot

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

The idea behind ServiceNow and HubSpot 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.