Correlation Between 0x and Ontology
Can any of the company-specific risk be diversified away by investing in both 0x 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 0x and Ontology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 0x and Ontology, you can compare the effects of market volatilities on 0x 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 0x with a short position of Ontology. Check out your portfolio center. Please also check ongoing floating volatility patterns of 0x and Ontology.
Diversification Opportunities for 0x and Ontology
Poor diversification
The 3 months correlation between 0x and Ontology is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding 0x and Ontology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ontology and 0x 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 0x 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 0x i.e., 0x and Ontology go up and down completely randomly.
Pair Corralation between 0x and Ontology
Assuming the 90 days trading horizon 0x is expected to generate 1.33 times more return on investment than Ontology. However, 0x is 1.33 times more volatile than Ontology. It trades about 0.03 of its potential returns per unit of risk. Ontology is currently generating about 0.03 per unit of risk. If you would invest 67.00 in 0x on January 26, 2024 and sell it today you would lose (15.00) from holding 0x or give up 22.39% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
0x vs. Ontology
Performance |
| Timeline |
| 0x |
| Ontology |
0x and Ontology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with 0x and Ontology
The main advantage of trading using opposite 0x and Ontology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 0x 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 0x 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Other Complementary Tools
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| 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 | |
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |