Correlation Between Global X and Global X
Can any of the company-specific risk be diversified away by investing in both Global X 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 Global X and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Lithium and Global X Robotics, you can compare the effects of market volatilities on Global X 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 Global X with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and Global X.
Diversification Opportunities for Global X and Global X
Poor diversification
The 3 months correlation between Global and Global is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Global X Lithium 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 Global X 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 Global X Lithium 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 Global X i.e., Global X and Global X go up and down completely randomly.
Pair Corralation between Global X and Global X
Considering the 90-day investment horizon Global X Lithium is expected to under-perform the Global X. In addition to that, Global X is 1.41 times more volatile than Global X Robotics. It trades about -0.03 of its total potential returns per unit of risk. Global X Robotics is currently generating about 0.06 per unit of volatility. If you would invest 2,523 in Global X Robotics on August 29, 2024 and sell it today you would earn a total of 804.00 from holding Global X Robotics or generate 31.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Global X Lithium vs. Global X Robotics
Performance |
| Timeline |
| Global X Lithium |
| Global X Robotics |
Global X and Global X Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global X and Global X
The main advantage of trading using opposite Global X and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X 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.| Global X vs. Invesco Solar ETF | Global X vs. Albemarle Corp | Global X vs. Lithium Americas Corp | Global X vs. iShares Global Clean |
| Global X vs. SPDR Kensho New | Global X vs. Global X FinTech | Global X vs. iShares Genomics Immunology | Global X vs. Aquagold International |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |