Correlation Between NYSE Composite and Comerica
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Comerica 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 Comerica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Comerica, you can compare the effects of market volatilities on NYSE Composite and Comerica 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 Comerica. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Comerica.
Diversification Opportunities for NYSE Composite and Comerica
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and Comerica is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Comerica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comerica 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 Comerica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Comerica has no effect on the direction of NYSE Composite i.e., NYSE Composite and Comerica go up and down completely randomly.
Pair Corralation between NYSE Composite and Comerica
Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.59 times less return on investment than Comerica. But when comparing it to its historical volatility, NYSE Composite is 3.63 times less risky than Comerica. It trades about 0.16 of its potential returns per unit of risk. Comerica is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 5,514 in Comerica on September 3, 2024 and sell it today you would earn a total of 1,711 from holding Comerica or generate 31.03% 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. Comerica
Performance |
Timeline |
NYSE Composite and Comerica Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Comerica
Pair trading matchups for Comerica
Pair Trading with NYSE Composite and Comerica
The main advantage of trading using opposite NYSE Composite and Comerica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Comerica 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 Comerica will offset losses from the drop in Comerica's long position.NYSE Composite vs. Lindblad Expeditions Holdings | NYSE Composite vs. LB Foster | NYSE Composite vs. HUTCHMED DRC | NYSE Composite vs. Bridgford Foods |
Comerica vs. Western Alliance Bancorporation | Comerica vs. KeyCorp | Comerica vs. Truist Financial Corp | Comerica vs. Zions Bancorporation |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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