Correlation Between NYSE Composite and Aqr Global

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

Diversification Opportunities for NYSE Composite and Aqr Global

0.27
  Correlation Coefficient

Modest diversification

The 3 months correlation between NYSE and Aqr is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Aqr Global Macro in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Global Macro 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 Aqr Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Global Macro has no effect on the direction of NYSE Composite i.e., NYSE Composite and Aqr Global go up and down completely randomly.
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Pair Corralation between NYSE Composite and Aqr Global

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Aqr Global. In addition to that, NYSE Composite is 1.19 times more volatile than Aqr Global Macro. It trades about -0.26 of its total potential returns per unit of risk. Aqr Global Macro is currently generating about 0.0 per unit of volatility. If you would invest  948.00  in Aqr Global Macro on October 10, 2024 and sell it today you would earn a total of  0.00  from holding Aqr Global Macro or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Aqr Global Macro

 Performance 
       Timeline  

NYSE Composite and Aqr Global Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Aqr Global

The main advantage of trading using opposite NYSE Composite and Aqr Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Aqr Global 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 Aqr Global will offset losses from the drop in Aqr Global's long position.
The idea behind NYSE Composite and Aqr Global Macro 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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