Correlation Between DAX Index and Peel Mining

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

Diversification Opportunities for DAX Index and Peel Mining

0.28
  Correlation Coefficient

Modest diversification

The 3 months correlation between DAX and Peel is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Peel Mining Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peel Mining Limited 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 Peel Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peel Mining Limited has no effect on the direction of DAX Index i.e., DAX Index and Peel Mining go up and down completely randomly.
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Pair Corralation between DAX Index and Peel Mining

Assuming the 90 days trading horizon DAX Index is expected to generate 2.58 times less return on investment than Peel Mining. But when comparing it to its historical volatility, DAX Index is 6.62 times less risky than Peel Mining. It trades about 0.11 of its potential returns per unit of risk. Peel Mining Limited is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  6.80  in Peel Mining Limited on October 6, 2024 and sell it today you would earn a total of  0.25  from holding Peel Mining Limited or generate 3.68% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  Peel Mining Limited

 Performance 
       Timeline  

DAX Index and Peel Mining Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Peel Mining

The main advantage of trading using opposite DAX Index and Peel Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Peel Mining 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 Peel Mining will offset losses from the drop in Peel Mining's long position.
The idea behind DAX Index and Peel Mining Limited 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 Valuation module to check real value of public entities based on technical and fundamental data.

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