Correlation Between NYSE Composite and Clear Blue
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Clear Blue 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 Clear Blue into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Clear Blue Technologies, you can compare the effects of market volatilities on NYSE Composite and Clear Blue 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 Clear Blue. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Clear Blue.
Diversification Opportunities for NYSE Composite and Clear Blue
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NYSE and Clear is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Clear Blue Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clear Blue Technologies 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 Clear Blue. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clear Blue Technologies has no effect on the direction of NYSE Composite i.e., NYSE Composite and Clear Blue go up and down completely randomly.
Pair Corralation between NYSE Composite and Clear Blue
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.35 times more return on investment than Clear Blue. However, NYSE Composite is 2.86 times less risky than Clear Blue. It trades about 0.05 of its potential returns per unit of risk. Clear Blue Technologies is currently generating about -0.21 per unit of risk. If you would invest 1,964,577 in NYSE Composite on September 16, 2024 and sell it today you would earn a total of 8,360 from holding NYSE Composite or generate 0.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
NYSE Composite vs. Clear Blue Technologies
Performance |
Timeline |
NYSE Composite and Clear Blue Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Clear Blue Technologies
Pair trading matchups for Clear Blue
Pair Trading with NYSE Composite and Clear Blue
The main advantage of trading using opposite NYSE Composite and Clear Blue positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Clear Blue 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 Clear Blue will offset losses from the drop in Clear Blue's long position.NYSE Composite vs. Employers Holdings | NYSE Composite vs. Palomar Holdings | NYSE Composite vs. United Fire Group | NYSE Composite vs. Ross Stores |
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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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