Correlation Between Sea and ServiceNow

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

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

Diversification Opportunities for Sea and ServiceNow

-0.66

Correlation Coefficient

Sea  ServiceNow

Excellent diversification

The 3 months correlation between Sea and ServiceNow is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Sea and ServiceNow in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ServiceNow and Sea 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 Sea are associated (or correlated) with ServiceNow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ServiceNow has no effect on the direction of Sea i.e., Sea and ServiceNow go up and down completely randomly.

Pair Corralation between Sea and ServiceNow

Allowing for the 90-day total investment horizon Sea is expected to generate 1.1 times more return on investment than ServiceNow. However, Sea is 1.1 times more volatile than ServiceNow. It trades about 0.14 of its potential returns per unit of risk. ServiceNow is currently generating about -0.15 per unit of risk. If you would invest  10,748  in Sea on December 28, 2024 and sell it today you would earn a total of  2,609  from holding Sea or generate 24.27% return on investment over 90 days.

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

Sea  vs.  ServiceNow

Sea

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Sea are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Sea exhibited solid returns over the last few months and may actually be approaching a breakup point.

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.

Pair Trading with Sea and ServiceNow

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

The idea behind Sea and ServiceNow 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.