Correlation Between Algorand and Lisk
Can any of the company-specific risk be diversified away by investing in both Algorand and Lisk 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 Algorand and Lisk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Lisk, you can compare the effects of market volatilities on Algorand and Lisk 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 Algorand with a short position of Lisk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Lisk.
Diversification Opportunities for Algorand and Lisk
Poor diversification
The 3 months correlation between Algorand and Lisk is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Lisk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lisk and Algorand 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 Algorand are associated (or correlated) with Lisk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lisk has no effect on the direction of Algorand i.e., Algorand and Lisk go up and down completely randomly.
Pair Corralation between Algorand and Lisk
Assuming the 90 days trading horizon Algorand is expected to generate 2.27 times less return on investment than Lisk. But when comparing it to its historical volatility, Algorand is 1.38 times less risky than Lisk. It trades about 0.04 of its potential returns per unit of risk. Lisk is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 94.00 in Lisk on January 26, 2024 and sell it today you would earn a total of 71.00 from holding Lisk or generate 75.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Algorand vs. Lisk
Performance |
| Timeline |
| Algorand |
| Lisk |
Algorand and Lisk Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Algorand and Lisk
The main advantage of trading using opposite Algorand and Lisk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Lisk 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 Lisk will offset losses from the drop in Lisk's long position.The idea behind Algorand and Lisk 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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