Correlation Between NYSE Composite and 25160PAE7

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite and 25160PAE7 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 NYSE Composite and 25160PAE7 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and DEUTSCHE BK AG, you can compare the effects of market volatilities on NYSE Composite and 25160PAE7 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 NYSE Composite with a short position of 25160PAE7. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and 25160PAE7.

Diversification Opportunities for NYSE Composite and 25160PAE7

-0.41
  Correlation Coefficient

Very good diversification

The 3 months correlation between NYSE and 25160PAE7 is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and DEUTSCHE BK AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DEUTSCHE BK AG and NYSE Composite 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 NYSE Composite are associated (or correlated) with 25160PAE7. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DEUTSCHE BK AG has no effect on the direction of NYSE Composite i.e., NYSE Composite and 25160PAE7 go up and down completely randomly.
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Pair Corralation between NYSE Composite and 25160PAE7

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.93 times more return on investment than 25160PAE7. However, NYSE Composite is 1.07 times less risky than 25160PAE7. It trades about 0.25 of its potential returns per unit of risk. DEUTSCHE BK AG is currently generating about -0.18 per unit of risk. If you would invest  1,926,142  in NYSE Composite on November 6, 2024 and sell it today you would earn a total of  70,319  from holding NYSE Composite or generate 3.65% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy45.0%
ValuesDaily Returns

NYSE Composite  vs.  DEUTSCHE BK AG

 Performance 
       Timeline  

NYSE Composite and 25160PAE7 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and 25160PAE7

The main advantage of trading using opposite NYSE Composite and 25160PAE7 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, 25160PAE7 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 25160PAE7 will offset losses from the drop in 25160PAE7's long position.
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The idea behind NYSE Composite and DEUTSCHE BK AG 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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