Correlation Between Ethereum PoW and EOSDAC
Can any of the company-specific risk be diversified away by investing in both Ethereum PoW and EOSDAC 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 Ethereum PoW and EOSDAC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum PoW and EOSDAC, you can compare the effects of market volatilities on Ethereum PoW and EOSDAC 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 Ethereum PoW with a short position of EOSDAC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum PoW and EOSDAC.
Diversification Opportunities for Ethereum PoW and EOSDAC
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ethereum and EOSDAC is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum PoW and EOSDAC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EOSDAC and Ethereum PoW 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 Ethereum PoW are associated (or correlated) with EOSDAC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EOSDAC has no effect on the direction of Ethereum PoW i.e., Ethereum PoW and EOSDAC go up and down completely randomly.
Pair Corralation between Ethereum PoW and EOSDAC
Assuming the 90 days trading horizon Ethereum PoW is expected to generate 2.01 times less return on investment than EOSDAC. But when comparing it to its historical volatility, Ethereum PoW is 1.96 times less risky than EOSDAC. It trades about 0.03 of its potential returns per unit of risk. EOSDAC is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 0.05 in EOSDAC on August 26, 2024 and sell it today you would lose (0.01) from holding EOSDAC or give up 29.98% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ethereum PoW vs. EOSDAC
Performance |
| Timeline |
| Ethereum PoW |
| EOSDAC |
Ethereum PoW and EOSDAC Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ethereum PoW and EOSDAC
The main advantage of trading using opposite Ethereum PoW and EOSDAC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum PoW position performs unexpectedly, EOSDAC 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 EOSDAC will offset losses from the drop in EOSDAC's long position.The idea behind Ethereum PoW and EOSDAC 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.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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Other Complementary Tools
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |