Correlation Between Datadog and Snowflake

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

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

Diversification Opportunities for Datadog and Snowflake

0.19

Correlation Coefficient

Datadog  Snowflake

Average diversification

The 3 months correlation between Datadog and Snowflake is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Datadog 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 Datadog are associated (or correlated) with Snowflake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snowflake has no effect on the direction of Datadog i.e., Datadog and Snowflake go up and down completely randomly.

Pair Corralation between Datadog and Snowflake

Given the investment horizon of 90 days Datadog is expected to under-perform the Snowflake. In addition to that, Datadog is 1.04 times more volatile than Snowflake. It trades about -0.18 of its total potential returns per unit of risk. Snowflake is currently generating about -0.03 per unit of volatility. If you would invest  17,480  in Snowflake on November 28, 2024 and sell it today you would lose (1,060) from holding Snowflake or give up 6.06% of portfolio value over 90 days.

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

Datadog  vs.  Snowflake

Datadog

Risk-Adjusted Performance

Very Weak

Over the last 90 days Datadog has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in March 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Snowflake

Risk-Adjusted Performance

Very Weak

Over the last 90 days Snowflake has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Snowflake is not utilizing all of its potentials. The recent stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with Datadog and Snowflake

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

The idea behind Datadog and Snowflake 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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.