Correlation Between Jacquet Metal and DAX Index

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

Diversification Opportunities for Jacquet Metal and DAX Index

0.51
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Jacquet and DAX is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Jacquet Metal Service and DAX Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAX Index and Jacquet Metal 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 Jacquet Metal Service are associated (or correlated) with DAX Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX Index has no effect on the direction of Jacquet Metal i.e., Jacquet Metal and DAX Index go up and down completely randomly.
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Pair Corralation between Jacquet Metal and DAX Index

Assuming the 90 days horizon Jacquet Metal Service is expected to generate 2.68 times more return on investment than DAX Index. However, Jacquet Metal is 2.68 times more volatile than DAX Index. It trades about 0.28 of its potential returns per unit of risk. DAX Index is currently generating about 0.23 per unit of risk. If you would invest  1,554  in Jacquet Metal Service on September 29, 2024 and sell it today you would earn a total of  146.00  from holding Jacquet Metal Service or generate 9.4% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Jacquet Metal Service  vs.  DAX Index

 Performance 
       Timeline  

Jacquet Metal and DAX Index Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Jacquet Metal and DAX Index

The main advantage of trading using opposite Jacquet Metal and DAX Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jacquet Metal position performs unexpectedly, DAX Index 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 DAX Index will offset losses from the drop in DAX Index's long position.
The idea behind Jacquet Metal Service and DAX Index 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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