Correlation Between Algorand and Cosmos
Can any of the company-specific risk be diversified away by investing in both Algorand and Cosmos 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 Cosmos into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Cosmos, you can compare the effects of market volatilities on Algorand and Cosmos 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 Cosmos. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Cosmos.
Diversification Opportunities for Algorand and Cosmos
Very poor diversification
The 3 months correlation between Algorand and Cosmos is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Cosmos in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cosmos 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 Cosmos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cosmos has no effect on the direction of Algorand i.e., Algorand and Cosmos go up and down completely randomly.
Pair Corralation between Algorand and Cosmos
Assuming the 90 days trading horizon Algorand is expected to generate 1.65 times more return on investment than Cosmos. However, Algorand is 1.65 times more volatile than Cosmos. It trades about 0.02 of its potential returns per unit of risk. Cosmos is currently generating about -0.02 per unit of risk. If you would invest 24.00 in Algorand on August 23, 2024 and sell it today you would lose (3.00) from holding Algorand or give up 12.5% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Algorand vs. Cosmos
Performance |
| Timeline |
| Algorand |
| Cosmos |
Algorand and Cosmos Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Algorand and Cosmos
The main advantage of trading using opposite Algorand and Cosmos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Cosmos 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 Cosmos will offset losses from the drop in Cosmos' long position.The idea behind Algorand and Cosmos 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Other Complementary Tools
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Stocks Directory Find actively traded stocks across global markets | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |