Correlation Between Siriuspoint and NYSE Composite
Can any of the company-specific risk be diversified away by investing in both Siriuspoint 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 Siriuspoint and NYSE Composite into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siriuspoint and NYSE Composite, you can compare the effects of market volatilities on Siriuspoint 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 Siriuspoint with a short position of NYSE Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siriuspoint and NYSE Composite.
Diversification Opportunities for Siriuspoint and NYSE Composite
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siriuspoint and NYSE is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Siriuspoint and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and Siriuspoint 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 Siriuspoint 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 Siriuspoint i.e., Siriuspoint and NYSE Composite go up and down completely randomly.
Pair Corralation between Siriuspoint and NYSE Composite
Given the investment horizon of 90 days Siriuspoint is expected to generate 2.65 times more return on investment than NYSE Composite. However, Siriuspoint is 2.65 times more volatile than NYSE Composite. It trades about 0.11 of its potential returns per unit of risk. NYSE Composite is currently generating about 0.08 per unit of risk. If you would invest 593.00 in Siriuspoint on September 18, 2024 and sell it today you would earn a total of 944.00 from holding Siriuspoint or generate 159.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Siriuspoint vs. NYSE Composite
Performance |
Timeline |
Siriuspoint and NYSE Composite Volatility Contrast
Predicted Return Density |
Returns |
Siriuspoint
Pair trading matchups for Siriuspoint
NYSE Composite
Pair trading matchups for NYSE Composite
Pair Trading with Siriuspoint and NYSE Composite
The main advantage of trading using opposite Siriuspoint and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siriuspoint 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.Siriuspoint vs. Maiden Holdings | Siriuspoint vs. Reinsurance Group of | Siriuspoint vs. Oxbridge Re Holdings | Siriuspoint vs. Greenlight Capital Re |
NYSE Composite vs. Siriuspoint | NYSE Composite vs. Fomento Economico Mexicano | NYSE Composite vs. Boston Beer | NYSE Composite vs. Ambev SA ADR |
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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