Correlation Between ServiceNow and ANSYS

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

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

Diversification Opportunities for ServiceNow and ANSYS

0.89

Correlation Coefficient

ServiceNow  ANSYS

Very poor diversification

The 3 months correlation between ServiceNow and ANSYS is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and ANSYS Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ANSYS Inc 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 ANSYS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ANSYS Inc has no effect on the direction of ServiceNow i.e., ServiceNow and ANSYS go up and down completely randomly.

Pair Corralation between ServiceNow and ANSYS

Considering the 90-day investment horizon ServiceNow is expected to under-perform the ANSYS. In addition to that, ServiceNow is 2.38 times more volatile than ANSYS Inc. It trades about -0.17 of its total potential returns per unit of risk. ANSYS Inc is currently generating about -0.09 per unit of volatility. If you would invest  33,792  in ANSYS Inc on December 29, 2024 and sell it today you would lose (2,103) from holding ANSYS Inc or give up 6.22% of portfolio value over 90 days.

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

ServiceNow  vs.  ANSYS Inc

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.

ANSYS Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days ANSYS Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, ANSYS is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with ServiceNow and ANSYS

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

The idea behind ServiceNow and ANSYS Inc 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.