Correlation Between EM and Staked Ether
Can any of the company-specific risk be diversified away by investing in both EM and Staked Ether 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 EM and Staked Ether into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EM and Staked Ether, you can compare the effects of market volatilities on EM and Staked Ether 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 EM with a short position of Staked Ether. Check out your portfolio center. Please also check ongoing floating volatility patterns of EM and Staked Ether.
Diversification Opportunities for EM and Staked Ether
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between EM and Staked is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding EM and Staked Ether in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Staked Ether and EM 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 EM are associated (or correlated) with Staked Ether. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Staked Ether has no effect on the direction of EM i.e., EM and Staked Ether go up and down completely randomly.
Pair Corralation between EM and Staked Ether
If you would invest 222,274 in Staked Ether on August 6, 2024 and sell it today you would earn a total of 17,784 from holding Staked Ether or generate 8.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
EM vs. Staked Ether
Performance |
Timeline |
EM |
Staked Ether |
EM and Staked Ether Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EM and Staked Ether
The main advantage of trading using opposite EM and Staked Ether positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EM position performs unexpectedly, Staked Ether 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 Staked Ether will offset losses from the drop in Staked Ether's long position.The idea behind EM and Staked Ether 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Other Complementary Tools
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Transaction History View history of all your transactions and understand their impact on performance | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |