Correlation Between NYSE Composite and GCL Poly
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and GCL Poly 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 GCL Poly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and GCL Poly Energy Holdings, you can compare the effects of market volatilities on NYSE Composite and GCL Poly 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 GCL Poly. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and GCL Poly.
Diversification Opportunities for NYSE Composite and GCL Poly
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NYSE and GCL is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and GCL Poly Energy Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GCL Poly Energy 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 GCL Poly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GCL Poly Energy has no effect on the direction of NYSE Composite i.e., NYSE Composite and GCL Poly go up and down completely randomly.
Pair Corralation between NYSE Composite and GCL Poly
Assuming the 90 days trading horizon NYSE Composite is expected to generate 6.37 times less return on investment than GCL Poly. But when comparing it to its historical volatility, NYSE Composite is 14.52 times less risky than GCL Poly. It trades about 0.12 of its potential returns per unit of risk. GCL Poly Energy Holdings is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 17.00 in GCL Poly Energy Holdings on September 15, 2024 and sell it today you would earn a total of 1.00 from holding GCL Poly Energy Holdings or generate 5.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. GCL Poly Energy Holdings
Performance |
Timeline |
NYSE Composite and GCL Poly Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
GCL Poly Energy Holdings
Pair trading matchups for GCL Poly
Pair Trading with NYSE Composite and GCL Poly
The main advantage of trading using opposite NYSE Composite and GCL Poly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, GCL Poly 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 GCL Poly will offset losses from the drop in GCL Poly's long position.NYSE Composite vs. FARO Technologies | NYSE Composite vs. Apogee Therapeutics, Common | NYSE Composite vs. Genfit | NYSE Composite vs. Mind Medicine |
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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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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