Correlation Between NYSE Composite and Cavanal Hill

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

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

Diversification Opportunities for NYSE Composite and Cavanal Hill

0.72

Correlation Coefficient

NYSE Composite  Cavanal Hill

Poor diversification

The 3 months correlation between NYSE and Cavanal is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Cavanal Hill Ultra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cavanal Hill Ultra 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 Cavanal Hill. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cavanal Hill Ultra has no effect on the direction of NYSE Composite i.e., NYSE Composite and Cavanal Hill go up and down completely randomly.

Pair Corralation between NYSE Composite and Cavanal Hill

Assuming the 90 days trading horizon NYSE Composite is expected to generate 13.33 times more return on investment than Cavanal Hill. However, NYSE Composite is 13.33 times more volatile than Cavanal Hill Ultra. It trades about 0.08 of its potential returns per unit of risk. Cavanal Hill Ultra is currently generating about 0.21 per unit of risk. If you would invest  1,521,826  in NYSE Composite on September 16, 2024 and sell it today you would earn a total of  451,111  from holding NYSE Composite or generate 29.64% 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.  Cavanal Hill Ultra

Pair Trading with NYSE Composite and Cavanal Hill

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

The idea behind NYSE Composite and Cavanal Hill Ultra 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.