Correlation Between NYSE Composite and Glen Burnie

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

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

Diversification Opportunities for NYSE Composite and Glen Burnie

-0.68

Correlation Coefficient

NYSE Composite  Glen Burnie

Excellent diversification

The 3 months correlation between NYSE and Glen is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Glen Burnie Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Glen Burnie Bancorp 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 Glen Burnie. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Glen Burnie Bancorp has no effect on the direction of NYSE Composite i.e., NYSE Composite and Glen Burnie go up and down completely randomly.

Pair Corralation between NYSE Composite and Glen Burnie

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.29 times more return on investment than Glen Burnie. However, NYSE Composite is 3.42 times less risky than Glen Burnie. It trades about 0.02 of its potential returns per unit of risk. Glen Burnie Bancorp is currently generating about -0.04 per unit of risk. If you would invest  1,907,793  in NYSE Composite on December 28, 2024 and sell it today you would earn a total of  19,237  from holding NYSE Composite or generate 1.01% return on investment over 90 days.

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

NYSE Composite  vs.  Glen Burnie Bancorp

Pair Trading with NYSE Composite and Glen Burnie

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

The idea behind NYSE Composite and Glen Burnie Bancorp 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.