Correlation Between Datadog and Sixt SE

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

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

Diversification Opportunities for Datadog and Sixt SE

0.65

Correlation Coefficient

Datadog  Sixt SE

Poor diversification

The 3 months correlation between Datadog and Sixt is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Sixt SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sixt SE 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 Sixt SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sixt SE has no effect on the direction of Datadog i.e., Datadog and Sixt SE go up and down completely randomly.

Pair Corralation between Datadog and Sixt SE

Assuming the 90 days horizon Datadog is expected to generate 1.12 times more return on investment than Sixt SE. However, Datadog is 1.12 times more volatile than Sixt SE. It trades about 0.22 of its potential returns per unit of risk. Sixt SE is currently generating about 0.09 per unit of risk. If you would invest  10,472  in Datadog on August 31, 2024 and sell it today you would earn a total of  4,034  from holding Datadog or generate 38.52% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.46%
Values	Daily Returns

Datadog  vs.  Sixt SE

Datadog

Risk-Adjusted Performance

17 of 100

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.

Sixt SE

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Sixt SE are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Sixt SE reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Datadog and Sixt SE

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

The idea behind Datadog and Sixt SE 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.