Correlation Between Datadog and H2O Retailing

Can any of the company-specific risk be diversified away by investing in both Datadog and H2O Retailing 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 H2O Retailing into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Datadog and H2O Retailing, you can compare the effects of market volatilities on Datadog and H2O Retailing 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 H2O Retailing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datadog and H2O Retailing.

Diversification Opportunities for Datadog and H2O Retailing

-0.5

Correlation Coefficient

Datadog  H2O Retailing

Very good diversification

The 3 months correlation between Datadog and H2O is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and H2O Retailing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on H2O Retailing 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 H2O Retailing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of H2O Retailing has no effect on the direction of Datadog i.e., Datadog and H2O Retailing go up and down completely randomly.

Pair Corralation between Datadog and H2O Retailing

Assuming the 90 days horizon Datadog is expected to generate 3.76 times more return on investment than H2O Retailing. However, Datadog is 3.76 times more volatile than H2O Retailing. It trades about 0.13 of its potential returns per unit of risk. H2O Retailing is currently generating about -0.06 per unit of risk. If you would invest  11,090  in Datadog on April 21, 2025 and sell it today you would earn a total of  1,224  from holding Datadog or generate 11.04% return on investment over 90 days.

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

Datadog  vs.  H2O Retailing

Datadog

Risk-Adjusted Performance

Solid

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

H2O Retailing

Risk-Adjusted Performance

Very Weak

Over the last 90 days H2O Retailing has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, H2O Retailing is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Datadog and H2O Retailing

The main advantage of trading using opposite Datadog and H2O Retailing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datadog position performs unexpectedly, H2O Retailing 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 H2O Retailing will offset losses from the drop in H2O Retailing's long position.

The idea behind Datadog and H2O Retailing 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.