Correlation Between Conflux Network and Polygon Ecosystem
Can any of the company-specific risk be diversified away by investing in both Conflux Network and Polygon Ecosystem 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 Conflux Network and Polygon Ecosystem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Conflux Network and Polygon Ecosystem Token, you can compare the effects of market volatilities on Conflux Network and Polygon Ecosystem 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 Conflux Network with a short position of Polygon Ecosystem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Conflux Network and Polygon Ecosystem.
Diversification Opportunities for Conflux Network and Polygon Ecosystem
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Conflux and Polygon is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Conflux Network and Polygon Ecosystem Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon Ecosystem Token and Conflux Network 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 Conflux Network are associated (or correlated) with Polygon Ecosystem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polygon Ecosystem Token has no effect on the direction of Conflux Network i.e., Conflux Network and Polygon Ecosystem go up and down completely randomly.
Pair Corralation between Conflux Network and Polygon Ecosystem
Assuming the 90 days trading horizon Conflux Network is expected to generate 1.21 times more return on investment than Polygon Ecosystem. However, Conflux Network is 1.21 times more volatile than Polygon Ecosystem Token. It trades about 0.17 of its potential returns per unit of risk. Polygon Ecosystem Token is currently generating about 0.16 per unit of risk. If you would invest 13.00 in Conflux Network on September 3, 2024 and sell it today you would earn a total of 10.00 from holding Conflux Network or generate 76.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Conflux Network vs. Polygon Ecosystem Token
Performance |
Timeline |
Conflux Network |
Polygon Ecosystem Token |
Conflux Network and Polygon Ecosystem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Conflux Network and Polygon Ecosystem
The main advantage of trading using opposite Conflux Network and Polygon Ecosystem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Conflux Network position performs unexpectedly, Polygon Ecosystem 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 Polygon Ecosystem will offset losses from the drop in Polygon Ecosystem's long position.Conflux Network vs. Staked Ether | Conflux Network vs. EigenLayer | Conflux Network vs. EOSDAC | Conflux Network vs. BLZ |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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