Correlation Between Ankr Network and Polkadot
Can any of the company-specific risk be diversified away by investing in both Ankr Network and Polkadot 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 Ankr Network and Polkadot into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ankr Network and Polkadot, you can compare the effects of market volatilities on Ankr Network and Polkadot 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 Ankr Network with a short position of Polkadot. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ankr Network and Polkadot.
Diversification Opportunities for Ankr Network and Polkadot
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Ankr and Polkadot is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Ankr Network and Polkadot in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polkadot and Ankr Network 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 Ankr Network are associated (or correlated) with Polkadot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polkadot has no effect on the direction of Ankr Network i.e., Ankr Network and Polkadot go up and down completely randomly.
Pair Corralation between Ankr Network and Polkadot
Assuming the 90 days trading horizon Ankr Network is expected to generate 1.2 times less return on investment than Polkadot. But when comparing it to its historical volatility, Ankr Network is 1.13 times less risky than Polkadot. It trades about 0.23 of its potential returns per unit of risk. Polkadot is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 406.00 in Polkadot on September 2, 2024 and sell it today you would earn a total of 489.00 from holding Polkadot or generate 120.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ankr Network vs. Polkadot
Performance |
Timeline |
Ankr Network |
Polkadot |
Ankr Network and Polkadot Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ankr Network and Polkadot
The main advantage of trading using opposite Ankr Network and Polkadot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ankr Network position performs unexpectedly, Polkadot 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 Polkadot will offset losses from the drop in Polkadot's long position.The idea behind Ankr Network and Polkadot 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 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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