Correlation Between NYSE Composite and Beyond Air

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

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

Diversification Opportunities for NYSE Composite and Beyond Air

0.51

Correlation Coefficient

NYSE Composite  Beyond Air

Very weak diversification

The 3 months correlation between NYSE and Beyond is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Beyond Air in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beyond Air 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 Beyond Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beyond Air has no effect on the direction of NYSE Composite i.e., NYSE Composite and Beyond Air go up and down completely randomly.

Pair Corralation between NYSE Composite and Beyond Air

Assuming the 90 days trading horizon NYSE Composite is expected to generate 14.18 times less return on investment than Beyond Air. But when comparing it to its historical volatility, NYSE Composite is 13.89 times less risky than Beyond Air. It trades about 0.07 of its potential returns per unit of risk. Beyond Air is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  40.00  in Beyond Air on September 18, 2024 and sell it today you would earn a total of  6.00  from holding Beyond Air or generate 15.0% return on investment over 90 days.

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

NYSE Composite  vs.  Beyond Air

Pair Trading with NYSE Composite and Beyond Air

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

The idea behind NYSE Composite and Beyond Air 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.