Correlation Between NYSE Composite and Jpmorgan Mortgage-backed

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

Diversification Opportunities for NYSE Composite and Jpmorgan Mortgage-backed

0.13
  Correlation Coefficient

Average diversification

The 3 months correlation between NYSE and Jpmorgan is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Jpmorgan Mortgage Backed Secur in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Mortgage-backed 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 Jpmorgan Mortgage-backed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Mortgage-backed has no effect on the direction of NYSE Composite i.e., NYSE Composite and Jpmorgan Mortgage-backed go up and down completely randomly.
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Pair Corralation between NYSE Composite and Jpmorgan Mortgage-backed

Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.16 times less return on investment than Jpmorgan Mortgage-backed. In addition to that, NYSE Composite is 2.58 times more volatile than Jpmorgan Mortgage Backed Securities. It trades about 0.02 of its total potential returns per unit of risk. Jpmorgan Mortgage Backed Securities is currently generating about 0.13 per unit of volatility. If you would invest  998.00  in Jpmorgan Mortgage Backed Securities on December 30, 2024 and sell it today you would earn a total of  26.00  from holding Jpmorgan Mortgage Backed Securities or generate 2.61% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Jpmorgan Mortgage Backed Secur

 Performance 
       Timeline  

NYSE Composite and Jpmorgan Mortgage-backed Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Jpmorgan Mortgage-backed

The main advantage of trading using opposite NYSE Composite and Jpmorgan Mortgage-backed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Jpmorgan Mortgage-backed 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 Jpmorgan Mortgage-backed will offset losses from the drop in Jpmorgan Mortgage-backed's long position.
The idea behind NYSE Composite and Jpmorgan Mortgage Backed Securities 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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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