Correlation Between NYSE Composite and Exxon

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

Diversification Opportunities for NYSE Composite and Exxon

0.14
  Correlation Coefficient

Average diversification

The 3 months correlation between NYSE and Exxon is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Exxon Mobil Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exxon Mobil Corp 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 Exxon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exxon Mobil Corp has no effect on the direction of NYSE Composite i.e., NYSE Composite and Exxon go up and down completely randomly.
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Pair Corralation between NYSE Composite and Exxon

Assuming the 90 days trading horizon NYSE Composite is expected to generate 10.27 times less return on investment than Exxon. But when comparing it to its historical volatility, NYSE Composite is 1.71 times less risky than Exxon. It trades about 0.02 of its potential returns per unit of risk. Exxon Mobil Corp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  10,482  in Exxon Mobil Corp on December 29, 2024 and sell it today you would earn a total of  1,307  from holding Exxon Mobil Corp or generate 12.47% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Exxon Mobil Corp

 Performance 
       Timeline  

NYSE Composite and Exxon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Exxon

The main advantage of trading using opposite NYSE Composite and Exxon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Exxon 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 Exxon will offset losses from the drop in Exxon's long position.
The idea behind NYSE Composite and Exxon Mobil Corp 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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