Correlation Between Band Protocol and Polygon Ecosystem
Can any of the company-specific risk be diversified away by investing in both Band Protocol 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 Band Protocol and Polygon Ecosystem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Band Protocol and Polygon Ecosystem Token, you can compare the effects of market volatilities on Band Protocol 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 Band Protocol with a short position of Polygon Ecosystem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Band Protocol and Polygon Ecosystem.
Diversification Opportunities for Band Protocol and Polygon Ecosystem
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Band and Polygon is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Band Protocol 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 Band Protocol 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 Band Protocol 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 Band Protocol i.e., Band Protocol and Polygon Ecosystem go up and down completely randomly.
Pair Corralation between Band Protocol and Polygon Ecosystem
Assuming the 90 days trading horizon Band Protocol is expected to generate 1.03 times more return on investment than Polygon Ecosystem. However, Band Protocol is 1.03 times more volatile than Polygon Ecosystem Token. It trades about -0.15 of its potential returns per unit of risk. Polygon Ecosystem Token is currently generating about -0.2 per unit of risk. If you would invest 141.00 in Band Protocol on December 30, 2024 and sell it today you would lose (69.00) from holding Band Protocol or give up 48.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Band Protocol vs. Polygon Ecosystem Token
Performance |
Timeline |
Band Protocol |
Polygon Ecosystem Token |
Band Protocol and Polygon Ecosystem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Band Protocol and Polygon Ecosystem
The main advantage of trading using opposite Band Protocol and Polygon Ecosystem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Band Protocol 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.Band Protocol vs. Staked Ether | Band Protocol vs. Phala Network | Band Protocol vs. EigenLayer | Band Protocol vs. EOSDAC |
Polygon Ecosystem vs. Staked Ether | Polygon Ecosystem vs. Phala Network | Polygon Ecosystem vs. EigenLayer | Polygon Ecosystem vs. EOSDAC |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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