Correlation Between Ontology and Polygon
Can any of the company-specific risk be diversified away by investing in both Ontology and Polygon 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 Polygon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ontology and Polygon, you can compare the effects of market volatilities on Ontology and Polygon 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 Polygon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ontology and Polygon.
Diversification Opportunities for Ontology and Polygon
Very weak diversification
The 3 months correlation between Ontology and Polygon is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and Polygon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon 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 Polygon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polygon has no effect on the direction of Ontology i.e., Ontology and Polygon go up and down completely randomly.
Pair Corralation between Ontology and Polygon
Assuming the 90 days trading horizon Ontology is expected to generate 1.93 times more return on investment than Polygon. However, Ontology is 1.93 times more volatile than Polygon. It trades about 0.12 of its potential returns per unit of risk. Polygon is currently generating about -0.28 per unit of risk. If you would invest 32.00 in Ontology on January 21, 2024 and sell it today you would earn a total of 5.00 from holding Ontology or generate 15.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ontology vs. Polygon
Performance |
| Timeline |
| Ontology |
| Polygon |
Ontology and Polygon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ontology and Polygon
The main advantage of trading using opposite Ontology and Polygon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology position performs unexpectedly, Polygon 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 Polygon will offset losses from the drop in Polygon's long position.The idea behind Ontology and Polygon 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Other Complementary Tools
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal |