Correlation Between Snowflake and DocuSign

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

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

Diversification Opportunities for Snowflake and DocuSign

-0.31

Correlation Coefficient

Snowflake  DocuSign

Very good diversification

The 3 months correlation between Snowflake and DocuSign is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and DocuSign in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DocuSign 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 DocuSign. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DocuSign has no effect on the direction of Snowflake i.e., Snowflake and DocuSign go up and down completely randomly.

Pair Corralation between Snowflake and DocuSign

Given the investment horizon of 90 days Snowflake is expected to generate 0.71 times more return on investment than DocuSign. However, Snowflake is 1.41 times less risky than DocuSign. It trades about 0.24 of its potential returns per unit of risk. DocuSign is currently generating about 0.01 per unit of risk. If you would invest  15,949  in Snowflake on April 30, 2025 and sell it today you would earn a total of  5,918  from holding Snowflake or generate 37.11% return on investment over 90 days.

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

Snowflake  vs.  DocuSign

Snowflake

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of fairly unfluctuating basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

DocuSign

Risk-Adjusted Performance

Very Weak

Over the last 90 days DocuSign has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental indicators, DocuSign 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 Snowflake and DocuSign

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

The idea behind Snowflake and DocuSign 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.