Correlation Between NYSE Composite and 05565EBE4

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite and 05565EBE4 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 05565EBE4 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and BMW 395 14 AUG 28, you can compare the effects of market volatilities on NYSE Composite and 05565EBE4 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 05565EBE4. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and 05565EBE4.

Diversification Opportunities for NYSE Composite and 05565EBE4

0.51
  Correlation Coefficient

Very weak diversification

The 3 months correlation between NYSE and 05565EBE4 is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and BMW 395 14 AUG 28 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 05565EBE4 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 05565EBE4. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 05565EBE4 has no effect on the direction of NYSE Composite i.e., NYSE Composite and 05565EBE4 go up and down completely randomly.
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Pair Corralation between NYSE Composite and 05565EBE4

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.02 times more return on investment than 05565EBE4. However, NYSE Composite is 1.02 times more volatile than BMW 395 14 AUG 28. It trades about 0.24 of its potential returns per unit of risk. BMW 395 14 AUG 28 is currently generating about -0.28 per unit of risk. If you would invest  1,954,967  in NYSE Composite on August 28, 2024 and sell it today you would earn a total of  67,069  from holding NYSE Composite or generate 3.43% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy36.36%
ValuesDaily Returns

NYSE Composite  vs.  BMW 395 14 AUG 28

 Performance 
       Timeline  

NYSE Composite and 05565EBE4 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and 05565EBE4

The main advantage of trading using opposite NYSE Composite and 05565EBE4 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, 05565EBE4 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 05565EBE4 will offset losses from the drop in 05565EBE4's long position.
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The idea behind NYSE Composite and BMW 395 14 AUG 28 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

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