Correlation Between Snowflake and ServiceNow

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

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

Diversification Opportunities for Snowflake and ServiceNow

0.73

Correlation Coefficient

Snowflake  ServiceNow

Poor diversification

The 3 months correlation between Snowflake and ServiceNow is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and ServiceNow in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ServiceNow and Snowflake 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 Snowflake 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 Snowflake i.e., Snowflake and ServiceNow go up and down completely randomly.

Pair Corralation between Snowflake and ServiceNow

Given the investment horizon of 90 days Snowflake is expected to generate 2.69 times more return on investment than ServiceNow. However, Snowflake is 2.69 times more volatile than ServiceNow. It trades about 0.17 of its potential returns per unit of risk. ServiceNow is currently generating about 0.19 per unit of risk. If you would invest  11,423  in Snowflake on August 30, 2024 and sell it today you would earn a total of  5,947  from holding Snowflake or generate 52.06% return on investment over 90 days.

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

Snowflake  vs.  ServiceNow

Snowflake

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of fairly inconsistent basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

ServiceNow

Risk-Adjusted Performance

15 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ServiceNow are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of fairly conflicting basic indicators, ServiceNow showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Snowflake and ServiceNow

The main advantage of trading using opposite Snowflake and ServiceNow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake 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 Snowflake 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.