Correlation Between Ontology and Swell Network
Can any of the company-specific risk be diversified away by investing in both Ontology and Swell Network 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 Ontology and Swell Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ontology and Swell Network, you can compare the effects of market volatilities on Ontology and Swell Network 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 Ontology with a short position of Swell Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ontology and Swell Network.
Diversification Opportunities for Ontology and Swell Network
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ontology and Swell is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and Swell Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swell Network and Ontology 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 Ontology are associated (or correlated) with Swell Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swell Network has no effect on the direction of Ontology i.e., Ontology and Swell Network go up and down completely randomly.
Pair Corralation between Ontology and Swell Network
Assuming the 90 days trading horizon Ontology is expected to generate 0.88 times more return on investment than Swell Network. However, Ontology is 1.13 times less risky than Swell Network. It trades about -0.17 of its potential returns per unit of risk. Swell Network is currently generating about -0.51 per unit of risk. If you would invest 24.00 in Ontology on November 8, 2024 and sell it today you would lose (6.00) from holding Ontology or give up 25.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ontology vs. Swell Network
Performance |
| Timeline |
| Ontology |
| Swell Network |
Ontology and Swell Network Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ontology and Swell Network
The main advantage of trading using opposite Ontology and Swell Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology position performs unexpectedly, Swell Network 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 Swell Network will offset losses from the drop in Swell Network's long position.The idea behind Ontology and Swell Network 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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