Correlation Between DAX Index and Archer Daniels

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

Diversification Opportunities for DAX Index and Archer Daniels

-0.32
  Correlation Coefficient

Very good diversification

The 3 months correlation between DAX and Archer is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Archer Daniels Midland in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Archer Daniels Midland and DAX Index 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 DAX Index are associated (or correlated) with Archer Daniels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Archer Daniels Midland has no effect on the direction of DAX Index i.e., DAX Index and Archer Daniels go up and down completely randomly.
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Pair Corralation between DAX Index and Archer Daniels

Assuming the 90 days trading horizon DAX Index is expected to generate 0.37 times more return on investment than Archer Daniels. However, DAX Index is 2.67 times less risky than Archer Daniels. It trades about 0.12 of its potential returns per unit of risk. Archer Daniels Midland is currently generating about -0.05 per unit of risk. If you would invest  1,578,661  in DAX Index on October 11, 2024 and sell it today you would earn a total of  454,333  from holding DAX Index or generate 28.78% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy97.23%
ValuesDaily Returns

DAX Index  vs.  Archer Daniels Midland

 Performance 
       Timeline  

DAX Index and Archer Daniels Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Archer Daniels

The main advantage of trading using opposite DAX Index and Archer Daniels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Archer Daniels 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 Archer Daniels will offset losses from the drop in Archer Daniels' long position.
The idea behind DAX Index and Archer Daniels Midland 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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