Correlation Between Betashares Asia and Global X
Can any of the company-specific risk be diversified away by investing in both Betashares Asia 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 Betashares Asia and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Betashares Asia Technology and Global X Hydrogen, you can compare the effects of market volatilities on Betashares Asia 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 Betashares Asia with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of Betashares Asia and Global X.
Diversification Opportunities for Betashares Asia and Global X
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Betashares and Global is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Betashares Asia Technology and Global X Hydrogen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X Hydrogen and Betashares Asia 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 Betashares Asia 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 Hydrogen has no effect on the direction of Betashares Asia i.e., Betashares Asia and Global X go up and down completely randomly.
Pair Corralation between Betashares Asia and Global X
Assuming the 90 days trading horizon Betashares Asia Technology is expected to generate 0.61 times more return on investment than Global X. However, Betashares Asia Technology is 1.65 times less risky than Global X. It trades about 0.09 of its potential returns per unit of risk. Global X Hydrogen is currently generating about -0.02 per unit of risk. If you would invest 732.00 in Betashares Asia Technology on September 12, 2024 and sell it today you would earn a total of 289.00 from holding Betashares Asia Technology or generate 39.48% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Betashares Asia Technology vs. Global X Hydrogen
Performance |
| Timeline |
| Betashares Asia Tech |
| Global X Hydrogen |
Betashares Asia and Global X Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Betashares Asia and Global X
The main advantage of trading using opposite Betashares Asia and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Betashares Asia 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.| Betashares Asia vs. Betashares Australian Major | Betashares Asia vs. Betashares Wealth Builder | Betashares Asia vs. Betashares Australian Cash | Betashares Asia vs. Betashares Australian Bank |
| Global X vs. Global X Physical | Global X vs. Global X Treasury | Global X vs. Global X Physical | Global X vs. Global X Bloomberg |
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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