Correlation Between Algorand and Ontology
Can any of the company-specific risk be diversified away by investing in both Algorand and Ontology 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 Ontology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Ontology, you can compare the effects of market volatilities on Algorand and Ontology 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 Ontology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Ontology.
Diversification Opportunities for Algorand and Ontology
Very poor diversification
The 3 months correlation between Algorand and Ontology is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Ontology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ontology 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 Ontology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ontology has no effect on the direction of Algorand i.e., Algorand and Ontology go up and down completely randomly.
Pair Corralation between Algorand and Ontology
Assuming the 90 days trading horizon Algorand is expected to under-perform the Ontology. But the crypto coin apears to be less risky and, when comparing its historical volatility, Algorand is 1.18 times less risky than Ontology. The crypto coin trades about -0.03 of its potential returns per unit of risk. The Ontology is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 24.00 in Ontology on January 20, 2024 and sell it today you would earn a total of 9.00 from holding Ontology or generate 37.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Algorand vs. Ontology
Performance |
| Timeline |
| Algorand |
| Ontology |
Algorand and Ontology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Algorand and Ontology
The main advantage of trading using opposite Algorand and Ontology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Ontology 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 Ontology will offset losses from the drop in Ontology's long position.The idea behind Algorand and Ontology 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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