Correlation Between Bet-at-home and Datadog

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

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

Diversification Opportunities for Bet-at-home and Datadog

0.51

Correlation Coefficient

Bet-at-home  Datadog

Very weak diversification

The 3 months correlation between Bet-at-home and Datadog is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding bet at home AG and Datadog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datadog and Bet-at-home 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 bet at home AG 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 Bet-at-home i.e., Bet-at-home and Datadog go up and down completely randomly.

Pair Corralation between Bet-at-home and Datadog

Assuming the 90 days horizon Bet-at-home is expected to generate 3.46 times less return on investment than Datadog. In addition to that, Bet-at-home is 1.29 times more volatile than Datadog. It trades about 0.05 of its total potential returns per unit of risk. Datadog is currently generating about 0.22 per unit of volatility. If you would invest  8,165  in Datadog on April 23, 2025 and sell it today you would earn a total of  4,149  from holding Datadog or generate 50.81% return on investment over 90 days.

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

bet at home AG  vs.  Datadog

bet at home

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in bet at home AG are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Bet-at-home reported solid returns over the last few months and may actually be approaching a breakup point.

Datadog

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 17 (%) 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 Bet-at-home and Datadog

The main advantage of trading using opposite Bet-at-home and Datadog positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bet-at-home 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 bet at home AG 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.