Correlation Between Bitcoin and Ethereum Name
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Ethereum Name 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 Bitcoin and Ethereum Name into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Ethereum Name Service, you can compare the effects of market volatilities on Bitcoin and Ethereum Name 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 Bitcoin with a short position of Ethereum Name. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Ethereum Name.
Diversification Opportunities for Bitcoin and Ethereum Name
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bitcoin and Ethereum is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Ethereum Name Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ethereum Name Service and Bitcoin 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 Bitcoin are associated (or correlated) with Ethereum Name. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ethereum Name Service has no effect on the direction of Bitcoin i.e., Bitcoin and Ethereum Name go up and down completely randomly.
Pair Corralation between Bitcoin and Ethereum Name
Assuming the 90 days trading horizon Bitcoin is expected to generate 0.36 times more return on investment than Ethereum Name. However, Bitcoin is 2.8 times less risky than Ethereum Name. It trades about -0.06 of its potential returns per unit of risk. Ethereum Name Service is currently generating about -0.05 per unit of risk. If you would invest 9,751,092 in Bitcoin on November 28, 2024 and sell it today you would lose (929,115) from holding Bitcoin or give up 9.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bitcoin vs. Ethereum Name Service
Performance |
Timeline |
Bitcoin |
Ethereum Name Service |
Bitcoin and Ethereum Name Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Ethereum Name
The main advantage of trading using opposite Bitcoin and Ethereum Name positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Ethereum Name 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 Ethereum Name will offset losses from the drop in Ethereum Name's long position.The idea behind Bitcoin and Ethereum Name Service 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.Ethereum Name vs. Ethereum Classic | Ethereum Name vs. Ethereum PoW | Ethereum Name vs. Staked Ether | Ethereum Name vs. Phala Network |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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