Correlation Between Sui and Manta Network
Can any of the company-specific risk be diversified away by investing in both Sui and Manta Network 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 Sui and Manta Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sui and Manta Network, you can compare the effects of market volatilities on Sui and Manta Network 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 Sui with a short position of Manta Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sui and Manta Network.
Diversification Opportunities for Sui and Manta Network
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sui and Manta is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Sui and Manta Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manta Network and Sui 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 Sui are associated (or correlated) with Manta Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manta Network has no effect on the direction of Sui i.e., Sui and Manta Network go up and down completely randomly.
Pair Corralation between Sui and Manta Network
Assuming the 90 days trading horizon Sui is expected to generate 0.88 times more return on investment than Manta Network. However, Sui is 1.14 times less risky than Manta Network. It trades about -0.09 of its potential returns per unit of risk. Manta Network is currently generating about -0.21 per unit of risk. If you would invest 412.00 in Sui on December 29, 2024 and sell it today you would lose (162.00) from holding Sui or give up 39.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sui vs. Manta Network
Performance |
Timeline |
Sui |
Manta Network |
Sui and Manta Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sui and Manta Network
The main advantage of trading using opposite Sui and Manta Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sui position performs unexpectedly, Manta Network 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 Manta Network will offset losses from the drop in Manta Network's long position.The idea behind Sui and Manta Network 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.Manta Network vs. Staked Ether | Manta Network vs. Phala Network | Manta Network vs. EigenLayer | Manta Network vs. EOSDAC |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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