Correlation Between NYSE Composite and Steward Covered
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Steward Covered 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 Steward Covered into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Steward Ered Call, you can compare the effects of market volatilities on NYSE Composite and Steward Covered 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 Steward Covered. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Steward Covered.
Diversification Opportunities for NYSE Composite and Steward Covered
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between NYSE and Steward is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Steward Ered Call in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steward Ered Call 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 Steward Covered. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steward Ered Call has no effect on the direction of NYSE Composite i.e., NYSE Composite and Steward Covered go up and down completely randomly.
Pair Corralation between NYSE Composite and Steward Covered
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.31 times more return on investment than Steward Covered. However, NYSE Composite is 1.31 times more volatile than Steward Ered Call. It trades about 0.19 of its potential returns per unit of risk. Steward Ered Call is currently generating about 0.23 per unit of risk. If you would invest 1,885,969 in NYSE Composite on September 7, 2024 and sell it today you would earn a total of 129,775 from holding NYSE Composite or generate 6.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Steward Ered Call
Performance |
Timeline |
NYSE Composite and Steward Covered Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Steward Ered Call
Pair trading matchups for Steward Covered
Pair Trading with NYSE Composite and Steward Covered
The main advantage of trading using opposite NYSE Composite and Steward Covered positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Steward Covered 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 Steward Covered will offset losses from the drop in Steward Covered's long position.NYSE Composite vs. JD Sports Fashion | NYSE Composite vs. Stepan Company | NYSE Composite vs. Coty Inc | NYSE Composite vs. Apogee Enterprises |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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