Correlation Between ARK Autonomous and Global X
Can any of the company-specific risk be diversified away by investing in both ARK Autonomous and Global X 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 ARK Autonomous and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ARK Autonomous Technology and Global X Robotics, you can compare the effects of market volatilities on ARK Autonomous and Global X 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 ARK Autonomous with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARK Autonomous and Global X.
Diversification Opportunities for ARK Autonomous and Global X
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between ARK and Global is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding ARK Autonomous Technology and Global X Robotics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X Robotics and ARK Autonomous 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 ARK Autonomous Technology are associated (or correlated) with Global X. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global X Robotics has no effect on the direction of ARK Autonomous i.e., ARK Autonomous and Global X go up and down completely randomly.
Pair Corralation between ARK Autonomous and Global X
Given the investment horizon of 90 days ARK Autonomous Technology is expected to under-perform the Global X. In addition to that, ARK Autonomous is 1.41 times more volatile than Global X Robotics. It trades about -0.08 of its total potential returns per unit of risk. Global X Robotics is currently generating about -0.07 per unit of volatility. If you would invest 3,252 in Global X Robotics on December 27, 2024 and sell it today you would lose (248.00) from holding Global X Robotics or give up 7.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
ARK Autonomous Technology vs. Global X Robotics
Performance |
Timeline |
ARK Autonomous Technology |
Global X Robotics |
ARK Autonomous and Global X Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARK Autonomous and Global X
The main advantage of trading using opposite ARK Autonomous and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARK Autonomous position performs unexpectedly, Global X 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 Global X will offset losses from the drop in Global X's long position.ARK Autonomous vs. ARK Fintech Innovation | ARK Autonomous vs. ARK Next Generation | ARK Autonomous vs. ARK Genomic Revolution | ARK Autonomous vs. ARK Innovation ETF |
Global X vs. Robo Global Robotics | Global X vs. Global X Cloud | Global X vs. Global X Lithium | Global X vs. ARK Autonomous Technology |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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