Correlation Between JD SPORTS and Datadog

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

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

Diversification Opportunities for JD SPORTS and Datadog

0.58

Correlation Coefficient

JD SPORTS  Datadog

Very weak diversification

The 3 months correlation between 9JD and Datadog is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding JD SPORTS FASH and Datadog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datadog and JD SPORTS 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 JD SPORTS FASH are associated (or correlated) with Datadog. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datadog has no effect on the direction of JD SPORTS i.e., JD SPORTS and Datadog go up and down completely randomly.

Pair Corralation between JD SPORTS and Datadog

Assuming the 90 days horizon JD SPORTS is expected to generate 1.87 times less return on investment than Datadog. But when comparing it to its historical volatility, JD SPORTS FASH is 1.24 times less risky than Datadog. It trades about 0.14 of its potential returns per unit of risk. Datadog is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest  7,923  in Datadog on April 16, 2025 and sell it today you would earn a total of  3,771  from holding Datadog or generate 47.6% return on investment over 90 days.

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

JD SPORTS FASH  vs.  Datadog

JD SPORTS FASH

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in JD SPORTS FASH are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, JD SPORTS reported solid returns over the last few months and may actually be approaching a breakup point.

Datadog

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 16 (%) 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.

Pair Trading with JD SPORTS and Datadog

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

The idea behind JD SPORTS FASH and Datadog 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.