Correlation Between Datagroup and Alfa Financial

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

Diversification Opportunities for Datagroup and Alfa Financial

-0.15
  Correlation Coefficient

Good diversification

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

Pair Corralation between Datagroup and Alfa Financial

Assuming the 90 days trading horizon Datagroup SE is expected to generate 1.28 times more return on investment than Alfa Financial. However, Datagroup is 1.28 times more volatile than Alfa Financial Software. It trades about 0.02 of its potential returns per unit of risk. Alfa Financial Software is currently generating about -0.06 per unit of risk. If you would invest  4,255  in Datagroup SE on October 26, 2024 and sell it today you would earn a total of  70.00  from holding Datagroup SE or generate 1.65% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Datagroup SE  vs.  Alfa Financial Software

 Performance 
       Timeline  
Datagroup SE 

Risk-Adjusted Performance

1 of 100

 
Weak
 
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Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable basic indicators, Datagroup is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.
Alfa Financial Software 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Alfa Financial Software has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Datagroup and Alfa Financial Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Datagroup and Alfa Financial

The main advantage of trading using opposite Datagroup and Alfa Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup position performs unexpectedly, Alfa Financial 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 Alfa Financial will offset losses from the drop in Alfa Financial's long position.
The idea behind Datagroup SE and Alfa Financial Software 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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.

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