Correlation Between Datadog and Getty Images

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

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

Diversification Opportunities for Datadog and Getty Images

0.05

Correlation Coefficient

Datadog  Getty Images

Significant diversification

The 3 months correlation between Datadog and Getty is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Getty Images Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Images Holdings 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 Getty Images. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Images Holdings has no effect on the direction of Datadog i.e., Datadog and Getty Images go up and down completely randomly.

Pair Corralation between Datadog and Getty Images

Given the investment horizon of 90 days Datadog is expected to generate 2.24 times less return on investment than Getty Images. But when comparing it to its historical volatility, Datadog is 1.25 times less risky than Getty Images. It trades about 0.04 of its potential returns per unit of risk. Getty Images Holdings is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  173.00  in Getty Images Holdings on July 2, 2025 and sell it today you would earn a total of  25.00  from holding Getty Images Holdings or generate 14.45% return on investment over 90 days.

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

Datadog  vs.  Getty Images Holdings

Datadog

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak basic indicators, Datadog may actually be approaching a critical reversion point that can send shares even higher in October 2025.

Getty Images Holdings

Risk-Adjusted Performance

Mild

Compared to the overall equity markets, risk-adjusted returns on investments in Getty Images Holdings are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Getty Images showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Datadog and Getty Images

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

The idea behind Datadog and Getty Images Holdings 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.