Correlation Between DAX Index and MOAB MINERALS

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

Diversification Opportunities for DAX Index and MOAB MINERALS

-0.47
  Correlation Coefficient

Very good diversification

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

Assuming the 90 days trading horizon DAX Index is expected to generate 22.74 times less return on investment than MOAB MINERALS. But when comparing it to its historical volatility, DAX Index is 57.75 times less risky than MOAB MINERALS. It trades about 0.16 of its potential returns per unit of risk. MOAB MINERALS LTD is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  0.10  in MOAB MINERALS LTD on September 24, 2024 and sell it today you would lose (0.05) from holding MOAB MINERALS LTD or give up 50.0% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

DAX Index  vs.  MOAB MINERALS LTD

 Performance 
       Timeline  

DAX Index and MOAB MINERALS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and MOAB MINERALS

The main advantage of trading using opposite DAX Index and MOAB MINERALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, MOAB MINERALS 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 MOAB MINERALS will offset losses from the drop in MOAB MINERALS's long position.
The idea behind DAX Index and MOAB MINERALS LTD 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

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