Correlation Between Stellar and Ankr Network
Can any of the company-specific risk be diversified away by investing in both Stellar and Ankr 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 Stellar and Ankr Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stellar and Ankr Network, you can compare the effects of market volatilities on Stellar and Ankr 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 Stellar with a short position of Ankr Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stellar and Ankr Network.
Diversification Opportunities for Stellar and Ankr Network
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Stellar and Ankr is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Stellar and Ankr Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ankr Network and Stellar 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 Stellar are associated (or correlated) with Ankr Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ankr Network has no effect on the direction of Stellar i.e., Stellar and Ankr Network go up and down completely randomly.
Pair Corralation between Stellar and Ankr Network
Assuming the 90 days trading horizon Stellar is expected to generate 1.27 times more return on investment than Ankr Network. However, Stellar is 1.27 times more volatile than Ankr Network. It trades about -0.02 of its potential returns per unit of risk. Ankr Network is currently generating about -0.17 per unit of risk. If you would invest 33.00 in Stellar on December 30, 2024 and sell it today you would lose (6.00) from holding Stellar or give up 18.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Stellar vs. Ankr Network
Performance |
Timeline |
Stellar |
Ankr Network |
Stellar and Ankr Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stellar and Ankr Network
The main advantage of trading using opposite Stellar and Ankr Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stellar position performs unexpectedly, Ankr 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 Ankr Network will offset losses from the drop in Ankr Network's long position.The idea behind Stellar and Ankr 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.Ankr Network vs. Staked Ether | Ankr Network vs. Phala Network | Ankr Network vs. EigenLayer | Ankr 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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