Correlation Between NYSE Composite and First United
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and First United 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 First United into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and First United, you can compare the effects of market volatilities on NYSE Composite and First United 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 First United. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and First United.
Diversification Opportunities for NYSE Composite and First United
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and First is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and First United in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First United 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 First United. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First United has no effect on the direction of NYSE Composite i.e., NYSE Composite and First United go up and down completely randomly.
Pair Corralation between NYSE Composite and First United
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.26 times less return on investment than First United. But when comparing it to its historical volatility, NYSE Composite is 2.81 times less risky than First United. It trades about 0.42 of its potential returns per unit of risk. First United is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 3,174 in First United on September 1, 2024 and sell it today you would earn a total of 390.00 from holding First United or generate 12.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. First United
Performance |
Timeline |
NYSE Composite and First United Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
First United
Pair trading matchups for First United
Pair Trading with NYSE Composite and First United
The main advantage of trading using opposite NYSE Composite and First United positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, First United 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 First United will offset losses from the drop in First United's long position.NYSE Composite vs. Acumen Pharmaceuticals | NYSE Composite vs. Mind Medicine | NYSE Composite vs. NL Industries | NYSE Composite vs. Ecovyst |
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Check out your portfolio center.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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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