Correlation Between ServiceNow and SAP SE

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Can any of the company-specific risk be diversified away by investing in both ServiceNow and SAP SE 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 SAP SE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ServiceNow and SAP SE, you can compare the effects of market volatilities on ServiceNow and SAP SE 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 SAP SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of ServiceNow and SAP SE.

Diversification Opportunities for ServiceNow and SAP SE

0.15
  Correlation Coefficient

Average diversification

The 3 months correlation between ServiceNow and SAP is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and SAP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAP SE 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 SAP SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SAP SE has no effect on the direction of ServiceNow i.e., ServiceNow and SAP SE go up and down completely randomly.

Pair Corralation between ServiceNow and SAP SE

Considering the 90-day investment horizon ServiceNow is expected to generate 0.87 times more return on investment than SAP SE. However, ServiceNow is 1.16 times less risky than SAP SE. It trades about -0.09 of its potential returns per unit of risk. SAP SE is currently generating about -0.12 per unit of risk. If you would invest  77,464  in ServiceNow on January 25, 2024 and sell it today you would lose (2,764) from holding ServiceNow or give up 3.57% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

ServiceNow  vs.  SAP SE

 Performance 
       Timeline  
ServiceNow 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
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 fairly stable basic indicators, ServiceNow is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.
SAP SE 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in SAP SE are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak technical and fundamental indicators, SAP SE may actually be approaching a critical reversion point that can send shares even higher in May 2024.

ServiceNow and SAP SE Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ServiceNow and SAP SE

The main advantage of trading using opposite ServiceNow and SAP SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ServiceNow position performs unexpectedly, SAP SE 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 SAP SE will offset losses from the drop in SAP SE's long position.
The idea behind ServiceNow and SAP SE 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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