Correlation Between ServiceNow and Appswarm

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

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

Diversification Opportunities for ServiceNow and Appswarm

0.21

Correlation Coefficient

ServiceNow  Appswarm

Modest diversification

The 3 months correlation between ServiceNow and Appswarm is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and Appswarm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Appswarm 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 Appswarm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Appswarm has no effect on the direction of ServiceNow i.e., ServiceNow and Appswarm go up and down completely randomly.

Pair Corralation between ServiceNow and Appswarm

Considering the 90-day investment horizon ServiceNow is expected to generate 4.23 times less return on investment than Appswarm. But when comparing it to its historical volatility, ServiceNow is 8.73 times less risky than Appswarm. It trades about 0.22 of its potential returns per unit of risk. Appswarm is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  0.02  in Appswarm on September 3, 2024 and sell it today you would earn a total of  0.01  from holding Appswarm or generate 50.0% return on investment over 90 days.

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

ServiceNow  vs.  Appswarm

ServiceNow

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ServiceNow are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of fairly unfluctuating basic indicators, ServiceNow showed solid returns over the last few months and may actually be approaching a breakup point.

Appswarm

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Appswarm are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, Appswarm displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with ServiceNow and Appswarm

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

The idea behind ServiceNow and Appswarm 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.