Correlation Between Datagroup and Federal Realty

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

Diversification Opportunities for Datagroup and Federal Realty

0.15
  Correlation Coefficient

Average diversification

The 3 months correlation between Datagroup and Federal is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE and Federal Realty Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Realty Investment and Datagroup 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 Datagroup SE are associated (or correlated) with Federal Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Realty Investment has no effect on the direction of Datagroup i.e., Datagroup and Federal Realty go up and down completely randomly.

Pair Corralation between Datagroup and Federal Realty

Assuming the 90 days trading horizon Datagroup SE is expected to under-perform the Federal Realty. In addition to that, Datagroup is 2.12 times more volatile than Federal Realty Investment. It trades about -0.02 of its total potential returns per unit of risk. Federal Realty Investment is currently generating about 0.05 per unit of volatility. If you would invest  10,083  in Federal Realty Investment on September 25, 2024 and sell it today you would earn a total of  1,089  from holding Federal Realty Investment or generate 10.8% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy96.44%
ValuesDaily Returns

Datagroup SE  vs.  Federal Realty Investment

 Performance 
       Timeline  
Datagroup SE 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Datagroup unveiled solid returns over the last few months and may actually be approaching a breakup point.
Federal Realty Investment 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Federal Realty Investment has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Federal Realty is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Datagroup and Federal Realty Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Datagroup and Federal Realty

The main advantage of trading using opposite Datagroup and Federal Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup position performs unexpectedly, Federal Realty 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 Federal Realty will offset losses from the drop in Federal Realty's long position.
The idea behind Datagroup SE and Federal Realty Investment 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 Global Correlations module to find global opportunities by holding instruments from different markets.

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