Correlation Between NYSE Composite and Big Tree

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

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

Diversification Opportunities for NYSE Composite and Big Tree

-0.5

Correlation Coefficient

NYSE Composite  Big Tree

Very good diversification

The 3 months correlation between NYSE and Big is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Big Tree Cloud in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Tree Cloud 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 Big Tree. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Tree Cloud has no effect on the direction of NYSE Composite i.e., NYSE Composite and Big Tree go up and down completely randomly.

Pair Corralation between NYSE Composite and Big Tree

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Big Tree. But the index apears to be less risky and, when comparing its historical volatility, NYSE Composite is 25.88 times less risky than Big Tree. The index trades about 0.0 of its potential returns per unit of risk. The Big Tree Cloud is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  257.00  in Big Tree Cloud on September 15, 2024 and sell it today you would earn a total of  83.00  from holding Big Tree Cloud or generate 32.3% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

NYSE Composite  vs.  Big Tree Cloud

Pair Trading with NYSE Composite and Big Tree

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

The idea behind NYSE Composite and Big Tree Cloud 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.