Correlation Between Dine Brands and Datadog

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

Diversification Opportunities for Dine Brands and Datadog

0.58
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Dine and Datadog is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Dine Brands Global and Datadog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datadog and Dine Brands 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 Dine Brands Global 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 Dine Brands i.e., Dine Brands and Datadog go up and down completely randomly.

Pair Corralation between Dine Brands and Datadog

Considering the 90-day investment horizon Dine Brands Global is expected to under-perform the Datadog. In addition to that, Dine Brands is 1.22 times more volatile than Datadog. It trades about -0.04 of its total potential returns per unit of risk. Datadog is currently generating about 0.06 per unit of volatility. If you would invest  12,353  in Datadog on September 1, 2024 and sell it today you would earn a total of  2,922  from holding Datadog or generate 23.65% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Dine Brands Global  vs.  Datadog

 Performance 
       Timeline  
Dine Brands Global 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Dine Brands Global are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating forward indicators, Dine Brands displayed solid returns over the last few months and may actually be approaching a breakup point.
Datadog 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, Datadog reported solid returns over the last few months and may actually be approaching a breakup point.

Dine Brands and Datadog Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dine Brands and Datadog

The main advantage of trading using opposite Dine Brands and Datadog positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dine Brands 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 Dine Brands Global 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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