Correlation Between NYSE Composite and MORGAN

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite and MORGAN 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 MORGAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and MORGAN STANLEY 395, you can compare the effects of market volatilities on NYSE Composite and MORGAN 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 MORGAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and MORGAN.

Diversification Opportunities for NYSE Composite and MORGAN

-0.72
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between NYSE and MORGAN is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and MORGAN STANLEY 395 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MORGAN STANLEY 5 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 MORGAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MORGAN STANLEY 5 has no effect on the direction of NYSE Composite i.e., NYSE Composite and MORGAN go up and down completely randomly.
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Pair Corralation between NYSE Composite and MORGAN

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.4 times more return on investment than MORGAN. However, NYSE Composite is 1.4 times more volatile than MORGAN STANLEY 395. It trades about 0.08 of its potential returns per unit of risk. MORGAN STANLEY 395 is currently generating about 0.01 per unit of risk. If you would invest  1,518,845  in NYSE Composite on September 13, 2024 and sell it today you would earn a total of  458,064  from holding NYSE Composite or generate 30.16% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy99.8%
ValuesDaily Returns

NYSE Composite  vs.  MORGAN STANLEY 395

 Performance 
       Timeline  

NYSE Composite and MORGAN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and MORGAN

The main advantage of trading using opposite NYSE Composite and MORGAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, MORGAN 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 MORGAN will offset losses from the drop in MORGAN's long position.
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The idea behind NYSE Composite and MORGAN STANLEY 395 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 Stocks Directory module to find actively traded stocks across global markets.

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