Correlation Between Datagroup and Coca Cola

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

Diversification Opportunities for Datagroup and Coca Cola

0.06
  Correlation Coefficient

Significant diversification

The 3 months correlation between Datagroup and Coca is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE and Coca Cola HBC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola HBC 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 Coca Cola. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coca Cola HBC has no effect on the direction of Datagroup i.e., Datagroup and Coca Cola go up and down completely randomly.

Pair Corralation between Datagroup and Coca Cola

Assuming the 90 days trading horizon Datagroup SE is expected to under-perform the Coca Cola. In addition to that, Datagroup is 1.93 times more volatile than Coca Cola HBC. It trades about -0.02 of its total potential returns per unit of risk. Coca Cola HBC is currently generating about 0.05 per unit of volatility. If you would invest  228,455  in Coca Cola HBC on September 12, 2024 and sell it today you would earn a total of  47,145  from holding Coca Cola HBC or generate 20.64% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy99.72%
ValuesDaily Returns

Datagroup SE  vs.  Coca Cola HBC

 Performance 
       Timeline  
Datagroup SE 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 10 (%) 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.
Coca Cola HBC 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Coca Cola HBC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, Coca Cola is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

Datagroup and Coca Cola Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Datagroup and Coca Cola

The main advantage of trading using opposite Datagroup and Coca Cola positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup position performs unexpectedly, Coca Cola 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 Coca Cola will offset losses from the drop in Coca Cola's long position.
The idea behind Datagroup SE and Coca Cola HBC 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

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