Correlation Between Staked Ether and Bitcoin SV
Can any of the company-specific risk be diversified away by investing in both Staked Ether and Bitcoin SV 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 Staked Ether and Bitcoin SV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Staked Ether and Bitcoin SV, you can compare the effects of market volatilities on Staked Ether and Bitcoin SV 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 Staked Ether with a short position of Bitcoin SV. Check out your portfolio center. Please also check ongoing floating volatility patterns of Staked Ether and Bitcoin SV.
Diversification Opportunities for Staked Ether and Bitcoin SV
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Staked and Bitcoin is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Staked Ether and Bitcoin SV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin SV and Staked Ether 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 Staked Ether are associated (or correlated) with Bitcoin SV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin SV has no effect on the direction of Staked Ether i.e., Staked Ether and Bitcoin SV go up and down completely randomly.
Pair Corralation between Staked Ether and Bitcoin SV
Assuming the 90 days trading horizon Staked Ether is expected to under-perform the Bitcoin SV. But the crypto coin apears to be less risky and, when comparing its historical volatility, Staked Ether is 1.36 times less risky than Bitcoin SV. The crypto coin trades about -0.01 of its potential returns per unit of risk. The Bitcoin SV is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 6,253 in Bitcoin SV on August 24, 2024 and sell it today you would earn a total of 730.00 from holding Bitcoin SV or generate 11.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Staked Ether vs. Bitcoin SV
Performance |
| Timeline |
| Staked Ether |
| Bitcoin SV |
Staked Ether and Bitcoin SV Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Staked Ether and Bitcoin SV
The main advantage of trading using opposite Staked Ether and Bitcoin SV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Staked Ether position performs unexpectedly, Bitcoin SV 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 Bitcoin SV will offset losses from the drop in Bitcoin SV's long position.The idea behind Staked Ether and Bitcoin SV pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Bitcoin SV vs. Bitcoin Gold | Bitcoin SV vs. Bitcoin Cash | Bitcoin SV vs. Staked Ether | Bitcoin SV vs. EigenLayer |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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