Correlation Between NYSE Composite and Exchange Listed

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

Diversification Opportunities for NYSE Composite and Exchange Listed

0.95
  Correlation Coefficient

Almost no diversification

The 3 months correlation between NYSE and Exchange is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Exchange Listed Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exchange Listed Funds 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 Exchange Listed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exchange Listed Funds has no effect on the direction of NYSE Composite i.e., NYSE Composite and Exchange Listed go up and down completely randomly.
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Pair Corralation between NYSE Composite and Exchange Listed

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.93 times less return on investment than Exchange Listed. But when comparing it to its historical volatility, NYSE Composite is 1.27 times less risky than Exchange Listed. It trades about 0.08 of its potential returns per unit of risk. Exchange Listed Funds is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  2,498  in Exchange Listed Funds on August 30, 2024 and sell it today you would earn a total of  739.00  from holding Exchange Listed Funds or generate 29.58% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy47.68%
ValuesDaily Returns

NYSE Composite  vs.  Exchange Listed Funds

 Performance 
       Timeline  

NYSE Composite and Exchange Listed Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Exchange Listed

The main advantage of trading using opposite NYSE Composite and Exchange Listed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Exchange Listed 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 Exchange Listed will offset losses from the drop in Exchange Listed's long position.
The idea behind NYSE Composite and Exchange Listed Funds 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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