Correlation Between 0x and LayerZero
Can any of the company-specific risk be diversified away by investing in both 0x and LayerZero 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 0x and LayerZero into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 0x and LayerZero, you can compare the effects of market volatilities on 0x and LayerZero 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 0x with a short position of LayerZero. Check out your portfolio center. Please also check ongoing floating volatility patterns of 0x and LayerZero.
Diversification Opportunities for 0x and LayerZero
Almost no diversification
The 3 months correlation between 0x and LayerZero is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding 0x and LayerZero in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LayerZero and 0x 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 0x are associated (or correlated) with LayerZero. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LayerZero has no effect on the direction of 0x i.e., 0x and LayerZero go up and down completely randomly.
Pair Corralation between 0x and LayerZero
Assuming the 90 days trading horizon 0x is expected to under-perform the LayerZero. But the crypto coin apears to be less risky and, when comparing its historical volatility, 0x is 1.51 times less risky than LayerZero. The crypto coin trades about -0.16 of its potential returns per unit of risk. The LayerZero is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 500.00 in LayerZero on December 29, 2024 and sell it today you would lose (246.00) from holding LayerZero or give up 49.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
0x vs. LayerZero
Performance |
Timeline |
0x |
LayerZero |
0x and LayerZero Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 0x and LayerZero
The main advantage of trading using opposite 0x and LayerZero positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 0x position performs unexpectedly, LayerZero 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 LayerZero will offset losses from the drop in LayerZero's long position.The idea behind 0x and LayerZero 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 CEOs Directory module to screen CEOs from public companies around the world.
Other Complementary Tools
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |