Correlation Between Datadog and LB Foster

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

Diversification Opportunities for Datadog and LB Foster

0.9
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Datadog and FSTR is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and LB Foster in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LB Foster 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 LB Foster. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LB Foster has no effect on the direction of Datadog i.e., Datadog and LB Foster go up and down completely randomly.

Pair Corralation between Datadog and LB Foster

Given the investment horizon of 90 days Datadog is expected to under-perform the LB Foster. In addition to that, Datadog is 1.31 times more volatile than LB Foster. It trades about -0.06 of its total potential returns per unit of risk. LB Foster is currently generating about -0.07 per unit of volatility. If you would invest  2,832  in LB Foster on September 27, 2024 and sell it today you would lose (99.00) from holding LB Foster or give up 3.5% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Datadog  vs.  LB Foster

 Performance 
       Timeline  
Datadog 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 13 (%) 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.
LB Foster 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in LB Foster are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Even with relatively unfluctuating basic indicators, LB Foster reported solid returns over the last few months and may actually be approaching a breakup point.

Datadog and LB Foster Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Datadog and LB Foster

The main advantage of trading using opposite Datadog and LB Foster positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datadog position performs unexpectedly, LB Foster 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 LB Foster will offset losses from the drop in LB Foster's long position.
The idea behind Datadog and LB Foster 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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