Correlation Between 21Shares Polygon and 21Shares Bitcoin
Can any of the company-specific risk be diversified away by investing in both 21Shares Polygon and 21Shares Bitcoin 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 21Shares Polygon and 21Shares Bitcoin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 21Shares Polygon ETP and 21Shares Bitcoin ETP, you can compare the effects of market volatilities on 21Shares Polygon and 21Shares Bitcoin 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 21Shares Polygon with a short position of 21Shares Bitcoin. Check out your portfolio center. Please also check ongoing floating volatility patterns of 21Shares Polygon and 21Shares Bitcoin.
Diversification Opportunities for 21Shares Polygon and 21Shares Bitcoin
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 21Shares and 21Shares is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding 21Shares Polygon ETP and 21Shares Bitcoin ETP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 21Shares Bitcoin ETP and 21Shares Polygon 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 21Shares Polygon ETP are associated (or correlated) with 21Shares Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 21Shares Bitcoin ETP has no effect on the direction of 21Shares Polygon i.e., 21Shares Polygon and 21Shares Bitcoin go up and down completely randomly.
Pair Corralation between 21Shares Polygon and 21Shares Bitcoin
Assuming the 90 days trading horizon 21Shares Polygon is expected to generate 10.18 times less return on investment than 21Shares Bitcoin. In addition to that, 21Shares Polygon is 1.21 times more volatile than 21Shares Bitcoin ETP. It trades about 0.02 of its total potential returns per unit of risk. 21Shares Bitcoin ETP is currently generating about 0.21 per unit of volatility. If you would invest 2,709 in 21Shares Bitcoin ETP on October 20, 2024 and sell it today you would earn a total of 496.00 from holding 21Shares Bitcoin ETP or generate 18.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
21Shares Polygon ETP vs. 21Shares Bitcoin ETP
Performance |
Timeline |
21Shares Polygon ETP |
21Shares Bitcoin ETP |
21Shares Polygon and 21Shares Bitcoin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 21Shares Polygon and 21Shares Bitcoin
The main advantage of trading using opposite 21Shares Polygon and 21Shares Bitcoin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 21Shares Polygon position performs unexpectedly, 21Shares Bitcoin 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 21Shares Bitcoin will offset losses from the drop in 21Shares Bitcoin's long position.21Shares Polygon vs. 21Shares Ethereum Core | 21Shares Polygon vs. 21Shares Tezos staking | 21Shares Polygon vs. 21Shares Bitcoin ETP | 21Shares Polygon vs. 21Shares Bytetree BOLD |
21Shares Bitcoin vs. 21Shares Polygon ETP | 21Shares Bitcoin vs. 21Shares Ethereum Core | 21Shares Bitcoin vs. 21Shares Tezos staking | 21Shares Bitcoin vs. 21Shares Bitcoin ETP |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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