Correlation Between NYSE Composite and Aumann AG

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

Diversification Opportunities for NYSE Composite and Aumann AG

-0.59
  Correlation Coefficient

Excellent diversification

The 3 months correlation between NYSE and Aumann is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Aumann AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aumann 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 Aumann AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aumann AG has no effect on the direction of NYSE Composite i.e., NYSE Composite and Aumann AG go up and down completely randomly.
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Pair Corralation between NYSE Composite and Aumann AG

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.61 times more return on investment than Aumann AG. However, NYSE Composite is 1.63 times less risky than Aumann AG. It trades about 0.16 of its potential returns per unit of risk. Aumann AG is currently generating about -0.11 per unit of risk. If you would invest  1,900,192  in NYSE Composite on September 4, 2024 and sell it today you would earn a total of  118,389  from holding NYSE Composite or generate 6.23% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Aumann AG

 Performance 
       Timeline  

NYSE Composite and Aumann AG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Aumann AG

The main advantage of trading using opposite NYSE Composite and Aumann AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Aumann AG 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 Aumann AG will offset losses from the drop in Aumann AG's long position.
The idea behind NYSE Composite and Aumann 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 Global Correlations module to find global opportunities by holding instruments from different markets.

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