Correlation Between NYSE Composite and Voya Index

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

Diversification Opportunities for NYSE Composite and Voya Index

  Correlation Coefficient

Almost no diversification

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

Pair Corralation between NYSE Composite and Voya Index

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.87 times more return on investment than Voya Index. However, NYSE Composite is 1.87 times more volatile than Voya Index Solution. It trades about 0.44 of its potential returns per unit of risk. Voya Index Solution is currently generating about 0.54 per unit of risk. If you would invest  1,500,255  in NYSE Composite on September 2, 2023 and sell it today you would earn a total of  108,629  from holding NYSE Composite or generate 7.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
ValuesDaily Returns



NYSE Composite and Voya Index Volatility Contrast

   Predicted Return Density   

Pair Trading with NYSE Composite and Voya Index

The main advantage of trading using opposite NYSE Composite and Voya Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Voya Index 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 Voya Index will offset losses from the drop in Voya Index's long position.
The idea behind NYSE Composite and Voya Index Solution 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.

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