Correlation Between Stagwell and NYSE Composite
Can any of the company-specific risk be diversified away by investing in both Stagwell and NYSE Composite 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 Stagwell and NYSE Composite into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stagwell and NYSE Composite, you can compare the effects of market volatilities on Stagwell and NYSE Composite 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 Stagwell with a short position of NYSE Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stagwell and NYSE Composite.
Diversification Opportunities for Stagwell and NYSE Composite
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Stagwell and NYSE is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Stagwell and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and Stagwell 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 Stagwell are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of Stagwell i.e., Stagwell and NYSE Composite go up and down completely randomly.
Pair Corralation between Stagwell and NYSE Composite
Given the investment horizon of 90 days Stagwell is expected to generate 7.11 times less return on investment than NYSE Composite. In addition to that, Stagwell is 3.13 times more volatile than NYSE Composite. It trades about 0.0 of its total potential returns per unit of risk. NYSE Composite is currently generating about 0.08 per unit of volatility. If you would invest 1,802,650 in NYSE Composite on September 26, 2024 and sell it today you would earn a total of 131,498 from holding NYSE Composite or generate 7.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Stagwell vs. NYSE Composite
Performance |
Timeline |
Stagwell and NYSE Composite Volatility Contrast
Predicted Return Density |
Returns |
Stagwell
Pair trading matchups for Stagwell
NYSE Composite
Pair trading matchups for NYSE Composite
Pair Trading with Stagwell and NYSE Composite
The main advantage of trading using opposite Stagwell and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stagwell position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.Stagwell vs. Warner Bros Discovery | Stagwell vs. Paramount Global Class | Stagwell vs. Live Nation Entertainment | Stagwell vs. Nexstar Broadcasting Group |
NYSE Composite vs. National CineMedia | NYSE Composite vs. BCE Inc | NYSE Composite vs. Zhihu Inc ADR | NYSE Composite vs. Western Midstream Partners |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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