Correlation Between Curve DAO and Power Ledger
Can any of the company-specific risk be diversified away by investing in both Curve DAO and Power Ledger 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 Curve DAO and Power Ledger into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Curve DAO Token and Power Ledger, you can compare the effects of market volatilities on Curve DAO and Power Ledger 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 Curve DAO with a short position of Power Ledger. Check out your portfolio center. Please also check ongoing floating volatility patterns of Curve DAO and Power Ledger.
Diversification Opportunities for Curve DAO and Power Ledger
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Curve and Power is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Curve DAO Token and Power Ledger in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Ledger and Curve DAO 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 Curve DAO Token are associated (or correlated) with Power Ledger. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Ledger has no effect on the direction of Curve DAO i.e., Curve DAO and Power Ledger go up and down completely randomly.
Pair Corralation between Curve DAO and Power Ledger
Assuming the 90 days trading horizon Curve DAO Token is expected to under-perform the Power Ledger. But the crypto coin apears to be less risky and, when comparing its historical volatility, Curve DAO Token is 1.1 times less risky than Power Ledger. The crypto coin trades about -0.32 of its potential returns per unit of risk. The Power Ledger is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest 41.00 in Power Ledger on January 26, 2024 and sell it today you would lose (11.00) from holding Power Ledger or give up 26.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Curve DAO Token vs. Power Ledger
Performance |
Timeline |
Curve DAO Token |
Power Ledger |
Curve DAO and Power Ledger Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Curve DAO and Power Ledger
The main advantage of trading using opposite Curve DAO and Power Ledger positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Curve DAO position performs unexpectedly, Power Ledger 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 Power Ledger will offset losses from the drop in Power Ledger's long position.The idea behind Curve DAO Token and Power Ledger 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.Power Ledger vs. Solana | Power Ledger vs. XRP | Power Ledger vs. Staked Ether | Power Ledger vs. The Open 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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