Correlation Between Alliance Data and Datagroup

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

Diversification Opportunities for Alliance Data and Datagroup

0.47
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Alliance and Datagroup is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and Alliance Data 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 Alliance Data Systems are associated (or correlated) with Datagroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datagroup SE has no effect on the direction of Alliance Data i.e., Alliance Data and Datagroup go up and down completely randomly.

Pair Corralation between Alliance Data and Datagroup

Assuming the 90 days trading horizon Alliance Data is expected to generate 1.23 times less return on investment than Datagroup. In addition to that, Alliance Data is 1.11 times more volatile than Datagroup SE. It trades about 0.25 of its total potential returns per unit of risk. Datagroup SE is currently generating about 0.35 per unit of volatility. If you would invest  4,325  in Datagroup SE on September 19, 2024 and sell it today you would earn a total of  615.00  from holding Datagroup SE or generate 14.22% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Alliance Data Systems  vs.  Datagroup SE

 Performance 
       Timeline  
Alliance Data Systems 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Alliance Data Systems are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Alliance Data unveiled solid returns over the last few months and may actually be approaching a breakup point.
Datagroup SE 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 9 (%) 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.

Alliance Data and Datagroup Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Alliance Data and Datagroup

The main advantage of trading using opposite Alliance Data and Datagroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, Datagroup 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 Datagroup will offset losses from the drop in Datagroup's long position.
The idea behind Alliance Data Systems and Datagroup 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.
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

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