Correlation Between American Eagle and Datadog

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

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

Diversification Opportunities for American Eagle and Datadog

-0.19

Correlation Coefficient

American Eagle  Datadog

Good diversification

The 3 months correlation between American and Datadog is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding American Eagle Outfitters and Datadog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datadog and American Eagle 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 American Eagle Outfitters 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 American Eagle i.e., American Eagle and Datadog go up and down completely randomly.

Pair Corralation between American Eagle and Datadog

Assuming the 90 days trading horizon American Eagle Outfitters is expected to under-perform the Datadog. In addition to that, American Eagle is 1.1 times more volatile than Datadog. It trades about -0.05 of its total potential returns per unit of risk. Datadog is currently generating about 0.1 per unit of volatility. If you would invest  11,768  in Datadog on October 26, 2024 and sell it today you would earn a total of  1,834  from holding Datadog or generate 15.58% return on investment over 90 days.

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

American Eagle Outfitters  vs.  Datadog

American Eagle Outfitters

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days American Eagle Outfitters has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest fragile performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Datadog

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Datadog reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with American Eagle and Datadog

The main advantage of trading using opposite American Eagle and Datadog positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Eagle 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 American Eagle Outfitters 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.

Check out your portfolio center.

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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.