Correlation Between Datadog and Citigroup

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Can any of the company-specific risk be diversified away by investing in both Datadog and Citigroup 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 Citigroup into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Datadog and Citigroup, you can compare the effects of market volatilities on Datadog and Citigroup 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 Citigroup. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datadog and Citigroup.

Diversification Opportunities for Datadog and Citigroup

0.91
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Datadog and Citigroup is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Citigroup in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citigroup 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 Citigroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citigroup has no effect on the direction of Datadog i.e., Datadog and Citigroup go up and down completely randomly.

Pair Corralation between Datadog and Citigroup

Assuming the 90 days horizon Datadog is expected to generate 1.37 times more return on investment than Citigroup. However, Datadog is 1.37 times more volatile than Citigroup. It trades about 0.25 of its potential returns per unit of risk. Citigroup is currently generating about 0.23 per unit of risk. If you would invest  9,783  in Datadog on September 16, 2024 and sell it today you would earn a total of  4,817  from holding Datadog or generate 49.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Datadog  vs.  Citigroup

 Performance 
       Timeline  
Datadog 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 19 (%) 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.
Citigroup 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile fundamental indicators, Citigroup exhibited solid returns over the last few months and may actually be approaching a breakup point.

Datadog and Citigroup Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Datadog and Citigroup

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

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