Correlation Between DAX Index and Fresnillo Plc

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

Diversification Opportunities for DAX Index and Fresnillo Plc

0.16
  Correlation Coefficient

Average diversification

The 3 months correlation between DAX and Fresnillo is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Fresnillo plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fresnillo plc 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 Fresnillo Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fresnillo plc has no effect on the direction of DAX Index i.e., DAX Index and Fresnillo Plc go up and down completely randomly.
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Pair Corralation between DAX Index and Fresnillo Plc

Assuming the 90 days trading horizon DAX Index is expected to generate 0.26 times more return on investment than Fresnillo Plc. However, DAX Index is 3.78 times less risky than Fresnillo Plc. It trades about 0.16 of its potential returns per unit of risk. Fresnillo plc is currently generating about -0.02 per unit of risk. If you would invest  1,940,520  in DAX Index on September 26, 2024 and sell it today you would earn a total of  44,357  from holding DAX Index or generate 2.29% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  Fresnillo plc

 Performance 
       Timeline  

DAX Index and Fresnillo Plc Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Fresnillo Plc

The main advantage of trading using opposite DAX Index and Fresnillo Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Fresnillo Plc 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 Fresnillo Plc will offset losses from the drop in Fresnillo Plc's long position.
The idea behind DAX Index and Fresnillo plc 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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

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