Correlation Between Leverage Shares and Global X
Can any of the company-specific risk be diversified away by investing in both Leverage Shares 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 Leverage Shares and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Leverage Shares 3x and Global X FinTech, you can compare the effects of market volatilities on Leverage Shares 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 Leverage Shares with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of Leverage Shares and Global X.
Diversification Opportunities for Leverage Shares and Global X
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Leverage and Global is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Leverage Shares 3x and Global X FinTech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X FinTech and Leverage Shares 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 Leverage Shares 3x 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 FinTech has no effect on the direction of Leverage Shares i.e., Leverage Shares and Global X go up and down completely randomly.
Pair Corralation between Leverage Shares and Global X
Assuming the 90 days trading horizon Leverage Shares 3x is expected to generate 11.29 times more return on investment than Global X. However, Leverage Shares is 11.29 times more volatile than Global X FinTech. It trades about 0.33 of its potential returns per unit of risk. Global X FinTech is currently generating about 0.39 per unit of risk. If you would invest 1,371,400 in Leverage Shares 3x on August 31, 2024 and sell it today you would earn a total of 2,281,780 from holding Leverage Shares 3x or generate 166.38% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Leverage Shares 3x vs. Global X FinTech
Performance |
| Timeline |
| Leverage Shares 3x |
| Global X FinTech |
Leverage Shares and Global X Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Leverage Shares and Global X
The main advantage of trading using opposite Leverage Shares and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Leverage Shares 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.| Leverage Shares vs. Leverage Shares 3x | Leverage Shares vs. Leverage Shares 3x | Leverage Shares vs. Leverage Shares 3x | Leverage Shares vs. Leverage Shares 3x |
| Global X vs. Global X Data | Global X vs. Global X Copper | Global X vs. Global X ETFs | Global X vs. Global X Infrastructure |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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