Correlation Between NYSE Composite and Eagle Bancorp

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

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

Diversification Opportunities for NYSE Composite and Eagle Bancorp

0.78

Correlation Coefficient

NYSE Composite  Eagle Bancorp

Poor diversification

The 3 months correlation between NYSE and Eagle is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Eagle Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagle 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 Eagle Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagle Bancorp has no effect on the direction of NYSE Composite i.e., NYSE Composite and Eagle Bancorp go up and down completely randomly.

Pair Corralation between NYSE Composite and Eagle Bancorp

Assuming the 90 days trading horizon NYSE Composite is expected to generate 5.38 times less return on investment than Eagle Bancorp. But when comparing it to its historical volatility, NYSE Composite is 5.49 times less risky than Eagle Bancorp. It trades about 0.17 of its potential returns per unit of risk. Eagle Bancorp is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  2,136  in Eagle Bancorp on September 3, 2024 and sell it today you would earn a total of  800.00  from holding Eagle Bancorp or generate 37.45% return on investment over 90 days.

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

NYSE Composite  vs.  Eagle Bancorp

Pair Trading with NYSE Composite and Eagle Bancorp

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

The idea behind NYSE Composite and Eagle 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.