Correlation Between NYSE Composite and Dreyfus Research

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

Diversification Opportunities for NYSE Composite and Dreyfus Research

0.66
  Correlation Coefficient

Poor diversification

The 3 months correlation between NYSE and Dreyfus is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Dreyfus Research Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Research Growth 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 Dreyfus Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Research Growth has no effect on the direction of NYSE Composite i.e., NYSE Composite and Dreyfus Research go up and down completely randomly.
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Pair Corralation between NYSE Composite and Dreyfus Research

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Dreyfus Research. But the index apears to be less risky and, when comparing its historical volatility, NYSE Composite is 1.89 times less risky than Dreyfus Research. The index trades about -0.36 of its potential returns per unit of risk. The Dreyfus Research Growth is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest  2,132  in Dreyfus Research Growth on September 29, 2024 and sell it today you would lose (69.00) from holding Dreyfus Research Growth or give up 3.24% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy95.24%
ValuesDaily Returns

NYSE Composite  vs.  Dreyfus Research Growth

 Performance 
       Timeline  

NYSE Composite and Dreyfus Research Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Dreyfus Research

The main advantage of trading using opposite NYSE Composite and Dreyfus Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Dreyfus Research 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 Dreyfus Research will offset losses from the drop in Dreyfus Research's long position.
The idea behind NYSE Composite and Dreyfus Research Growth 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

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