Correlation Between NYSE Composite and New Generation
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and New Generation 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 New Generation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and New Generation Consumer, you can compare the effects of market volatilities on NYSE Composite and New Generation 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 New Generation. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and New Generation.
Diversification Opportunities for NYSE Composite and New Generation
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NYSE and New is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and New Generation Consumer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Generation Consumer 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 New Generation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Generation Consumer has no effect on the direction of NYSE Composite i.e., NYSE Composite and New Generation go up and down completely randomly.
Pair Corralation between NYSE Composite and New Generation
Assuming the 90 days trading horizon NYSE Composite is expected to generate 257.08 times less return on investment than New Generation. But when comparing it to its historical volatility, NYSE Composite is 33.34 times less risky than New Generation. It trades about 0.02 of its potential returns per unit of risk. New Generation Consumer is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 0.05 in New Generation Consumer on December 2, 2024 and sell it today you would earn a total of 0.01 from holding New Generation Consumer or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. New Generation Consumer
Performance |
Timeline |
NYSE Composite and New Generation Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
New Generation Consumer
Pair trading matchups for New Generation
Pair Trading with NYSE Composite and New Generation
The main advantage of trading using opposite NYSE Composite and New Generation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, New Generation 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 New Generation will offset losses from the drop in New Generation's long position.NYSE Composite vs. Jerash Holdings | NYSE Composite vs. European Wax Center | NYSE Composite vs. Ralph Lauren Corp | NYSE Composite vs. Toro Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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