Correlation Between Algorand and Qtum
Can any of the company-specific risk be diversified away by investing in both Algorand and Qtum 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 Qtum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Qtum, you can compare the effects of market volatilities on Algorand and Qtum 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 Qtum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Qtum.
Diversification Opportunities for Algorand and Qtum
Almost no diversification
The 3 months correlation between Algorand and Qtum is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Qtum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qtum 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 Qtum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qtum has no effect on the direction of Algorand i.e., Algorand and Qtum go up and down completely randomly.
Pair Corralation between Algorand and Qtum
Assuming the 90 days trading horizon Algorand is expected to generate 1.04 times less return on investment than Qtum. In addition to that, Algorand is 1.2 times more volatile than Qtum. It trades about 0.18 of its total potential returns per unit of risk. Qtum is currently generating about 0.23 per unit of volatility. If you would invest 365.00 in Qtum on December 30, 2023 and sell it today you would earn a total of 120.00 from holding Qtum or generate 32.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Algorand vs. Qtum
Performance |
Timeline |
Algorand |
Qtum |
Algorand and Qtum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algorand and Qtum
The main advantage of trading using opposite Algorand and Qtum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Qtum 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 Qtum will offset losses from the drop in Qtum's long position.The idea behind Algorand and Qtum 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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