Correlation Between NYSE Composite and Innovent Biologics
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Innovent Biologics 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 Innovent Biologics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Innovent Biologics, you can compare the effects of market volatilities on NYSE Composite and Innovent Biologics 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 Innovent Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Innovent Biologics.
Diversification Opportunities for NYSE Composite and Innovent Biologics
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between NYSE and Innovent is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Innovent Biologics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innovent Biologics 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 Innovent Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innovent Biologics has no effect on the direction of NYSE Composite i.e., NYSE Composite and Innovent Biologics go up and down completely randomly.
Pair Corralation between NYSE Composite and Innovent Biologics
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.13 times more return on investment than Innovent Biologics. However, NYSE Composite is 7.42 times less risky than Innovent Biologics. It trades about 0.24 of its potential returns per unit of risk. Innovent Biologics is currently generating about -0.02 per unit of risk. If you would invest 1,954,967 in NYSE Composite on August 29, 2024 and sell it today you would earn a total of 66,978 from holding NYSE Composite or generate 3.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Innovent Biologics
Performance |
Timeline |
NYSE Composite and Innovent Biologics Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Innovent Biologics
Pair trading matchups for Innovent Biologics
Pair Trading with NYSE Composite and Innovent Biologics
The main advantage of trading using opposite NYSE Composite and Innovent Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Innovent Biologics 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 Innovent Biologics will offset losses from the drop in Innovent Biologics' long position.NYSE Composite vs. Vita Coco | NYSE Composite vs. Franklin Wireless Corp | NYSE Composite vs. Ambev SA ADR | NYSE Composite vs. Toro Co |
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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