Correlation Between Qtum and Orbs
Can any of the company-specific risk be diversified away by investing in both Qtum and Orbs 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 Qtum and Orbs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qtum and Orbs, you can compare the effects of market volatilities on Qtum and Orbs 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 Qtum with a short position of Orbs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qtum and Orbs.
Diversification Opportunities for Qtum and Orbs
Almost no diversification
The 3 months correlation between Qtum and Orbs is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Qtum and Orbs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orbs and Qtum 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 Qtum are associated (or correlated) with Orbs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orbs has no effect on the direction of Qtum i.e., Qtum and Orbs go up and down completely randomly.
Pair Corralation between Qtum and Orbs
Assuming the 90 days trading horizon Qtum is expected to generate 1.17 times less return on investment than Orbs. But when comparing it to its historical volatility, Qtum is 1.31 times less risky than Orbs. It trades about 0.04 of its potential returns per unit of risk. Orbs is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 3.49 in Orbs on January 21, 2024 and sell it today you would earn a total of 0.52 from holding Orbs or generate 14.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Qtum vs. Orbs
Performance |
| Timeline |
| Qtum |
| Orbs |
Qtum and Orbs Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Qtum and Orbs
The main advantage of trading using opposite Qtum and Orbs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qtum position performs unexpectedly, Orbs 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 Orbs will offset losses from the drop in Orbs' long position.The idea behind Qtum and Orbs 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Complementary Tools
| Transaction History View history of all your transactions and understand their impact on performance | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| AI Investment Finder Use AI to screen and filter profitable investment opportunities | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |