Correlation Between Ameriprise Financial and Datagroup

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

Diversification Opportunities for Ameriprise Financial and Datagroup

0.4
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Ameriprise and Datagroup is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Ameriprise Financial and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and Ameriprise Financial 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 Ameriprise Financial 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 Ameriprise Financial i.e., Ameriprise Financial and Datagroup go up and down completely randomly.

Pair Corralation between Ameriprise Financial and Datagroup

Assuming the 90 days trading horizon Ameriprise Financial is expected to generate 0.72 times more return on investment than Datagroup. However, Ameriprise Financial is 1.39 times less risky than Datagroup. It trades about 0.24 of its potential returns per unit of risk. Datagroup SE is currently generating about 0.13 per unit of risk. If you would invest  51,288  in Ameriprise Financial on September 1, 2024 and sell it today you would earn a total of  6,109  from holding Ameriprise Financial or generate 11.91% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Ameriprise Financial  vs.  Datagroup SE

 Performance 
       Timeline  
Ameriprise Financial 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Ameriprise Financial are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Ameriprise Financial unveiled solid returns over the last few months and may actually be approaching a breakup point.
Datagroup SE 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Datagroup may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Ameriprise Financial and Datagroup Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ameriprise Financial and Datagroup

The main advantage of trading using opposite Ameriprise Financial and Datagroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ameriprise Financial 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 Ameriprise Financial 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

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