Correlation Between NYSE Composite and Great Elm

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Great Elm 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 Great Elm into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and Great Elm Capital, you can compare the effects of market volatilities on NYSE Composite and Great Elm 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 Great Elm. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Great Elm.

Diversification Opportunities for NYSE Composite and Great Elm

0.09

Correlation Coefficient

NYSE Composite  Great Elm

Significant diversification

The 3 months correlation between NYSE and Great is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Great Elm Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Elm Capital 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 Great Elm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Elm Capital has no effect on the direction of NYSE Composite i.e., NYSE Composite and Great Elm go up and down completely randomly.

Pair Corralation between NYSE Composite and Great Elm

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.34 times less return on investment than Great Elm. In addition to that, NYSE Composite is 4.19 times more volatile than Great Elm Capital. It trades about 0.02 of its total potential returns per unit of risk. Great Elm Capital is currently generating about 0.14 per unit of volatility. If you would invest  2,471  in Great Elm Capital on December 29, 2024 and sell it today you would earn a total of  39.00  from holding Great Elm Capital or generate 1.58% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	98.36%
Values	Daily Returns

NYSE Composite  vs.  Great Elm Capital

Pair Trading with NYSE Composite and Great Elm

The main advantage of trading using opposite NYSE Composite and Great Elm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Great Elm 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 Great Elm will offset losses from the drop in Great Elm's long position.

The idea behind NYSE Composite and Great Elm Capital 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.