Correlation Between BLZ and Manta Network
Can any of the company-specific risk be diversified away by investing in both BLZ 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 BLZ and Manta Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BLZ and Manta Network, you can compare the effects of market volatilities on BLZ 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 BLZ with a short position of Manta Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of BLZ and Manta Network.
Diversification Opportunities for BLZ and Manta Network
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BLZ and Manta is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding BLZ and Manta Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manta Network and BLZ 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 BLZ 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 BLZ i.e., BLZ and Manta Network go up and down completely randomly.
Pair Corralation between BLZ and Manta Network
Assuming the 90 days trading horizon BLZ is expected to generate 1.95 times more return on investment than Manta Network. However, BLZ is 1.95 times more volatile than Manta Network. It trades about 0.0 of its potential returns per unit of risk. Manta Network is currently generating about -0.21 per unit of risk. If you would invest 5.40 in BLZ on December 29, 2024 and sell it today you would lose (2.08) from holding BLZ or give up 38.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BLZ vs. Manta Network
Performance |
Timeline |
BLZ |
Manta Network |
BLZ and Manta Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BLZ and Manta Network
The main advantage of trading using opposite BLZ and Manta Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BLZ 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 BLZ 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |